/
eswc-2010-complete.rdf
7800 lines (7043 loc) · 553 KB
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eswc-2010-complete.rdf
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<rdfs:label>A Pattern Science for the Semantic Web</rdfs:label>
<ical:description>I will present the current state of play with respect to collecting, finding, classifying, and using (design) patterns on the semantic web. The talk will compare historically related work, highlight some successful stories and curious unexpected bottlenecks, and will envision some charming research and development directions from the Web of Data.</ical:description>
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<ical:summary>A Pattern Science for the Semantic Web</ical:summary>
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<rdfs:label>From Disasters to WoW: Using Web Science to understand and enable 21st century multidimensional networks</rdfs:label>
<ical:description>Recent advances in Web Science provide comprehensive digital traces of social actions, interactions, and transactions. These data provide an unprecedented exploratorium to model the socio-technical motivations for creating, maintaining, dissolving, and reconstituting multidimensional social networks. Multidimensional networks include multiple types of nodes (people, documents, datasets, tags, etc.) and multiple types of relationships (co-authorship, citation, web links, etc). Using examples from research in a wide range of activities such as disaster response, public health and massively multiplayer online games (WoW - the World of Warcraft), Contractor will argue that Web Science serves as the foundation for the development of theories and methods to help advance our ability to understand and enable multidimensional networks.</ical:description>
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<ical:date>2010-06-01T09:00:00</ical:date>
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<ical:summary>From Disasters to WoW: Using Web Science to understand and enable 21st century multidimensional networks</ical:summary>
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<rdfs:label>SKOS: Past, Present and Future</rdfs:label>
<ical:description>SKOS (Simple Knowledge Organisation System) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, enabling data and technology sharing across diverse applications.
The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a light weight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL). SKOS was published as a W3C Recommendation in August 2009 and is seeing growing take-up in a number of fields including (among others) cultural heritage, economics, astronomy, and local government. SKOS also looks set to play a key role in providing vocabularies for the Data Web through its use in Open Linked Data.</ical:description>
<ical:dtstart rdf:parseType="Resource">
<ical:date>2010-06-03T09:00:00</ical:date>
<ical:tzid>GMT+1</ical:tzid>
</ical:dtstart>
<ical:duration>PT1H30M</ical:duration>
<ical:summary>SKOS: Past, Present and Future</ical:summary>
</swc:KeynoteTalk>
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<swc:speaker rdf:resource="http://data.semanticweb.org/person/wolfgang-wahlster"/>
<rdfs:label>The Semantic Product Memory: An Interactive Black Box for Smart Objects</rdfs:label>
<ical:description>A semantic product memory stores a diary of an individual physical object in a persistent way on an embedded sensor system that is networked by wireless communication to a smart environment. The product monitors itself and its environment. Semantic technologies based on OWL ontologies guarantee interoperability of the product memory across the complete supply chain and lifecycle of smart objects and enable end user access to the product’s lifelog.
In this talk, we present the layered architecture together with the representation and inference formalisms used in our SemProM project, funded by the German Ministry of Education and Research (BMBF) with 16 Million Euro. SemProM goes well beyond traditional RFID technology and is the basis for intelligent automation in smart factories, event-driven logistics as well as smart retail and after-sales. Collecting information logs about objects in such smart environments and making it available - for example about an object’s origin, location, movements, physical properties, environmental conditions, usage history, as well as warranty and maintenance data - can help enterprises to improve their business processes and create new ones. Existing business process models become more accurate since information taken directly from the point of action can be used to manage or adapt processes in real time for the emerging Internet of Things.
We show how such embedded “black box” event recorders can transform everyday objects like cars, circuit boards, pizzas and drug blister packs into smart products. We show how consumers of smart products can access the lifelogs of products by NFC-enabled smartphones using SemProM’s browser and track the complete history of a product in multimodal dialogues. A role-based access control mechanism ensures privacy and security of the SemProM product memories. We will discuss fully operational pilot implementations of semantic product memories developed in the SemProM consortium together with major German companies like SAP, BMW, Siemens, DHL, Globus Retail and Kohl Pharma.</ical:description>
<ical:dtstart rdf:parseType="Resource">
<ical:date>2010-06-02T09:00:00</ical:date>
<ical:tzid>GMT+1</ical:tzid>
</ical:dtstart>
<ical:duration>PT1H30M</ical:duration>
<ical:summary>The Semantic Product Memory: An Interactive Black Box for Smart Objects</ical:summary>
</swc:KeynoteTalk>
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<rdfs:label>Generl Chair</rdfs:label>
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<rdfs:label>News from Front</rdfs:label>
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<rdfs:label>Semantic Web Technologies Chair</rdfs:label>
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<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/13">
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<dc:creator rdf:resource="http://data.semanticweb.org/person/aristotelis-zosakis"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/george-anadiotis"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/konstantinos-kafentzis"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/konstantinos-kotis"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/konstantinos-mpaslis"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/panos-alexopoulos"/>
<dc:subject>Hybrid Search</dc:subject>
<dc:subject>Linked Data</dc:subject>
<dc:subject>Web2.0</dc:subject>
<dc:subject>eParticipation</dc:subject>
<dc:title>Facilitating Dialogue - Using Semantic Web Technology for eParticipation</dc:title>
<swrc:abstract>In this paper we describe the application of various Semantic Web technologies and their combination with emerging Web2.0 use patterns in the eParticipation domain and show how they have been used in a pilot system for the Regional Government of the Prefecture of Samos, Greece. We present the parts of the system that are based on Semantic Web technology and how they are merged with a Web2.0 philosophy and explain the benefits of this approach, as showcased by applications for annotating, searching, browsing and cross-referencing content in eParticipation communities.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/aristotelis-zosakis"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/george-anadiotis"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/konstantinos-kafentzis"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/konstantinos-kotis"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/konstantinos-mpaslis"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/panos-alexopoulos"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/13/authorlist"/>
<rdfs:label>Facilitating Dialogue - Using Semantic Web Technology for eParticipation</rdfs:label>
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<maker rdf:resource="http://data.semanticweb.org/person/george-anadiotis"/>
<maker rdf:resource="http://data.semanticweb.org/person/konstantinos-kafentzis"/>
<maker rdf:resource="http://data.semanticweb.org/person/konstantinos-kotis"/>
<maker rdf:resource="http://data.semanticweb.org/person/konstantinos-mpaslis"/>
<maker rdf:resource="http://data.semanticweb.org/person/panos-alexopoulos"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/13/authorlist">
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<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/14">
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<dc:creator rdf:resource="http://data.semanticweb.org/person/juergen-ziegler"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/philipp-heim"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/thomas-ertl"/>
<dc:subject>SPARQL</dc:subject>
<dc:subject>faceted search</dc:subject>
<dc:subject>graph visualization</dc:subject>
<dc:subject>hierarchical facets</dc:subject>
<dc:subject>query building</dc:subject>
<dc:title>Facet Graphs: Complex Semantic Querying Made Easy</dc:title>
<swrc:abstract>While the Semantic Web is rapidly filling up, appropriate tools for searching it are still at infancy. In this paper we describe an approach that allows humans to access information contained in the Semantic Web according to its semantics and thus to leverage the specific characteristic of this Web. To avoid the ambiguity of natural language queries, users only select already defined attributes organized in facets to build their search queries. The facets are represented as nodes in a graph visualization and can be interactively added and removed by the users in order to produce individual search interfaces. This provides the possibility to generate interfaces in arbitrary complexities and access arbitrary domains. Even multiple and distantly connected facets can be integrated in the graph facilitating the access of information from different user-defined perspectives. Challenges include massive amounts of data, massive semantic relations within the data, highly complex search queries and users’ unfamiliarity with the Semantic Web.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/juergen-ziegler"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/philipp-heim"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/thomas-ertl"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
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<rdfs:label>Facet Graphs: Complex Semantic Querying Made Easy</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/juergen-ziegler"/>
<maker rdf:resource="http://data.semanticweb.org/person/philipp-heim"/>
<maker rdf:resource="http://data.semanticweb.org/person/thomas-ertl"/>
</swrc:InProceedings>
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<dc:creator rdf:resource="http://data.semanticweb.org/person/florian-lemmerich"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/joachim-baumeister"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/jochen-reutelshoefer"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/jorit-wintjes"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/lorenz-haas"/>
<dc:subject>e-learning</dc:subject>
<dc:subject>history</dc:subject>
<dc:subject>semantic wiki</dc:subject>
<dc:title>Taking OWL to Athens -- Semantic Web Technology takes Ancient Greek History to students</dc:title>
<swrc:abstract>The HermesWiki project is a semantic wiki application on Ancient Greek History. As an e-learning plattform, it aims at providing students eective access to concise and reliable domain knowledge, that is especially important for exam preparation. In this paper, we show how semantic technologies introduce new methods of learning by supporting teachers in the creation of contents and students in the personalized identication of required knowledge. Therefore, we give an overview of the project and characterize the semi-formalized content. Additionally, we present several use cases and describe the semantic web techniques that are used to support the application. Furthermore, we report on the user experiences regarding the usefulness and applicability of semantic technologies in this context.</swrc:abstract>
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<swrc:author rdf:resource="http://data.semanticweb.org/person/joachim-baumeister"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/jochen-reutelshoefer"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/jorit-wintjes"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/lorenz-haas"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/18/authorlist"/>
<rdfs:label>Taking OWL to Athens -- Semantic Web Technology takes Ancient Greek History to students</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/florian-lemmerich"/>
<maker rdf:resource="http://data.semanticweb.org/person/joachim-baumeister"/>
<maker rdf:resource="http://data.semanticweb.org/person/jochen-reutelshoefer"/>
<maker rdf:resource="http://data.semanticweb.org/person/jorit-wintjes"/>
<maker rdf:resource="http://data.semanticweb.org/person/lorenz-haas"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/18/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/jochen-reutelshoefer"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/florian-lemmerich"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/joachim-baumeister"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/jorit-wintjes"/>
<rdf:_5 rdf:resource="http://data.semanticweb.org/person/lorenz-haas"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/29">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/alessandro-oltramari"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/davide-pozza"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/giuseppe-angelini"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/pavel-shvaiko"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/roberta-cuel"/>
<dc:subject>eGovernment</dc:subject>
<dc:subject>innovation generation</dc:subject>
<dc:subject>semantic search</dc:subject>
<dc:subject>thesauri</dc:subject>
<dc:title>Generating innovation with semantically enabled TasLab portal</dc:title>
<swrc:abstract>In this paper we present a concrete case study in which semantic technology has been used to enable a territorial innovation. Firstly, we describe a scenario of the ICT regional demand in Trentino, Italy; where the main idea of territorial innovation is based on the so-called innovation tripole. Specifically, we believe that innovation arises as a result of the synergic coordination and technology transfer among three main innovation stakeholders: (i) final users, bringing domain knowledge, (ii) enterprises and SMEs, bringing knowledge of the market, and (iii) research centers, bringing the latest research results. The tripole is instantiated/generated for innovation projects, and, technically, can be viewed as a competence search (based on metadata) among the key innovation stakeholders for those projects. Secondly, we discuss the implementation of the tripole generation within the TasLab portal, including the use of domain ontologies and thesauri (e.g., Eurovoc), indexing and semantic search techniques we have employed. Finally, we provide a discussion on empirical and economic evaluation of our solution, the results of which are encouraging.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/alessandro-oltramari"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/davide-pozza"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/giuseppe-angelini"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/pavel-shvaiko"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/roberta-cuel"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/29/authorlist"/>
<rdfs:label>Generating innovation with semantically enabled TasLab portal</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/alessandro-oltramari"/>
<maker rdf:resource="http://data.semanticweb.org/person/davide-pozza"/>
<maker rdf:resource="http://data.semanticweb.org/person/giuseppe-angelini"/>
<maker rdf:resource="http://data.semanticweb.org/person/pavel-shvaiko"/>
<maker rdf:resource="http://data.semanticweb.org/person/roberta-cuel"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/29/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/pavel-shvaiko"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/alessandro-oltramari"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/roberta-cuel"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/davide-pozza"/>
<rdf:_5 rdf:resource="http://data.semanticweb.org/person/giuseppe-angelini"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/31">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/philipp-heim"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/steffen-lohmann"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/timo-stegemann"/>
<dc:subject>graph visualization</dc:subject>
<dc:subject>interactive relationship discovery</dc:subject>
<dc:title>Interactive Relationship Discovery via the Semantic Web</dc:title>
<swrc:abstract>This paper presents an approach for the interactive discovery of relationships between selected elements via the Semantic Web. It fills the gap between algorithms that find relationships in datasets of the Semantic Web and their efficient usage in real-world contexts. Selected elements are first semi-automatically mapped to unique objects of Semantic Web datasets. These datasets are then crawled for relationships which are presented both, in detail and overview. Interactive features and visual clues allow for sophisticated exploration of the found relationships on different levels. The general process is described and the RelFinder tool as a concrete implementation and proof-of-concept is presented. The benefits and application potentials are illustrated by a scenario which uses the RelFinder and DBpedia to assist a business analyst in decision-making. Finally, the approach is evaluated in a user study, and discussed and compared with related work.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/philipp-heim"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/steffen-lohmann"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/timo-stegemann"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/31/authorlist"/>
<rdfs:label>Interactive Relationship Discovery via the Semantic Web</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/philipp-heim"/>
<maker rdf:resource="http://data.semanticweb.org/person/steffen-lohmann"/>
<maker rdf:resource="http://data.semanticweb.org/person/timo-stegemann"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/31/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/philipp-heim"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/steffen-lohmann"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/timo-stegemann"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/40">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/andrei-tamilin"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/bernardo-magnini"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/christian-girardi"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/luciano-serafini"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/mathew-joseph"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/roberto-zanoli"/>
<dc:subject>context-driven semantic enrichment</dc:subject>
<dc:subject>contextualized knowledge representation</dc:subject>
<dc:subject>knowledge extraction</dc:subject>
<dc:title>Context-driven Semantic Enrichment of Italian News Archive</dc:title>
<swrc:abstract>In this work we introduce ``context-driven semantic enrichment'', aiming at annotating textual expressions with the metadata that are semantically relevant for the specific context in which such expressions occur. The great benefit is that context-dependent information (e.g., occupations of people changing during the time) will be enriched with the appropriate semantic tags according to the different contexts. Context-driven semantic enrichment builds upon three core tasks: automated extraction of named entities (i.e., people, locations and organizations) from text; semantic integration techniques for organizing the background knowledge by means of ontologies populated with the extracted named entities; individuation of the mapping between entities found in text and their ontological counterparts using contextual constraints derived from text (e.g., temporal, geographic and thematic constraints). The approach has been fully implemented in a system, which has been practically deployed and applied to the textual archive of the local Italian newspaper ``L'Adige'', covering the decade of years from 1999 to 2009.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/andrei-tamilin"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/bernardo-magnini"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/christian-girardi"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/luciano-serafini"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/mathew-joseph"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/roberto-zanoli"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/40/authorlist"/>
<rdfs:label>Context-driven Semantic Enrichment of Italian News Archive</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/andrei-tamilin"/>
<maker rdf:resource="http://data.semanticweb.org/person/bernardo-magnini"/>
<maker rdf:resource="http://data.semanticweb.org/person/christian-girardi"/>
<maker rdf:resource="http://data.semanticweb.org/person/luciano-serafini"/>
<maker rdf:resource="http://data.semanticweb.org/person/mathew-joseph"/>
<maker rdf:resource="http://data.semanticweb.org/person/roberto-zanoli"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/40/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/andrei-tamilin"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/luciano-serafini"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/bernardo-magnini"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/christian-girardi"/>
<rdf:_5 rdf:resource="http://data.semanticweb.org/person/roberto-zanoli"/>
<rdf:_6 rdf:resource="http://data.semanticweb.org/person/mathew-joseph"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/45">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/christos-koumenides"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/igor-popov"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/tope-omitola"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/yang-yang"/>
<dc:subject>Data Consumption</dc:subject>
<dc:subject>Data Publication</dc:subject>
<dc:subject>Linked Data</dc:subject>
<dc:subject>Public Open Data</dc:subject>
<dc:subject>Public Sector Information</dc:subject>
<dc:title>Put in your postcode, out comes the data: A Case Study</dc:title>
<swrc:abstract>A single datum or a set of a categorical data has little value on its own. Combination of disparate sets of data increases the value of those data sets and helps to discover interesting patterns or relationships, facilitating the construction of new applications and services. In this paper, we describe an implementation of using open geographical data as a core set of ``join points'' to mesh different public datasets. We describe the challenges faced during the implementation, which include, sourcing the datasets, publishing them as linked data, and normalising these linked data in terms of finding the appropriate ``join point''(s) from the individual datasets, as well as developing the client application used for data consumption. We describe the design decisions and our solutions to these challenges. We conclude by drawing some general principles from this work.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/christos-koumenides"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/igor-popov"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/tope-omitola"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/yang-yang"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/45/authorlist"/>
<rdfs:label>Put in your postcode, out comes the data: A Case Study</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/christos-koumenides"/>
<maker rdf:resource="http://data.semanticweb.org/person/igor-popov"/>
<maker rdf:resource="http://data.semanticweb.org/person/tope-omitola"/>
<maker rdf:resource="http://data.semanticweb.org/person/yang-yang"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/45/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/tope-omitola"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/igor-popov"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/yang-yang"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/christos-koumenides"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/56">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/chen-zhou"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/howard-beck"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/jeff-depree"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/stanley-su"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/xuelian-xiao"/>
<dc:subject>matchmaking</dc:subject>
<dc:subject>tableau</dc:subject>
<dc:subject>terminology</dc:subject>
<dc:title>Ontology Management in an Event-Triggered Knowledge Network</dc:title>
<swrc:abstract>This paper presents an ontology management system and ontology processing techniques used to support a distributed event-triggered knowledge network (ETKnet), which has been developed for deployment in a national network for rapid detection and reporting of crop disease and pest outbreaks. The ontology management system called Lyra, is improved to addresses the issues of terminology mapping, rule service discovery, and large ABox’s query processing. A domain ontology that covers the concepts related to events, rules, roles and collaborating organizations in ETKnet was developed. Terms used by different organizations can be located in the ontology by terminology searching. Services that implement knowledge rules and rule structures can be discovered through semantic matching using the concepts defined in the ontology. A tableau algorithm was extended to lazy-load only the needed instances and their relationships into main memory. With this extension, Lyra is capable of processing a large ontology database stored in secondary storage even when the ABox cannot be entirely loaded into memory.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/chen-zhou"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/howard-beck"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/jeff-depree"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/stanley-su"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/xuelian-xiao"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/56/authorlist"/>
<rdfs:label>Ontology Management in an Event-Triggered Knowledge Network</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/chen-zhou"/>
<maker rdf:resource="http://data.semanticweb.org/person/howard-beck"/>
<maker rdf:resource="http://data.semanticweb.org/person/jeff-depree"/>
<maker rdf:resource="http://data.semanticweb.org/person/stanley-su"/>
<maker rdf:resource="http://data.semanticweb.org/person/xuelian-xiao"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/56/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/chen-zhou"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/xuelian-xiao"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/jeff-depree"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/howard-beck"/>
<rdf:_5 rdf:resource="http://data.semanticweb.org/person/stanley-su"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/58">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/antoine-isaac"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/claus-zinn"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/lourens-van-der-meij"/>
<dc:subject>Alignment Service</dc:subject>
<dc:subject>Repository</dc:subject>
<dc:subject>SKOS</dc:subject>
<dc:subject>Semantic Heterogeneity in Cultural Heritage</dc:subject>
<dc:subject>Vocabulary Service</dc:subject>
<dc:title>A web-based repository service for vocabularies and alignments in the Cultural Heritage domain</dc:title>
<swrc:abstract>Controlled vocabularies of various kinds (e.g., thesauri, classification schemes) play an integral part in making Cultural Heritage collections electronically accessible. The various institutions participating in the Dutch CATCH programme maintain and make use of a rich and diverse set of vocabularies. This makes it hard to provide a uniform point of access to all collections at once. Our SKOS-based vocabulary and alignment repository aims at providing technology for managing the various vocabularies, and for exploiting semantic alignments across any two of them. The repository system exposes web services that effectively support the construction of tools for searching and browsing across vocabularies and collections or for collection curation (indexing), as we demonstrate.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/antoine-isaac"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/claus-zinn"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/lourens-van-der-meij"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/58/authorlist"/>
<rdfs:label>A web-based repository service for vocabularies and alignments in the Cultural Heritage domain</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/antoine-isaac"/>
<maker rdf:resource="http://data.semanticweb.org/person/claus-zinn"/>
<maker rdf:resource="http://data.semanticweb.org/person/lourens-van-der-meij"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/58/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/lourens-van-der-meij"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/antoine-isaac"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/claus-zinn"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/59">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/ceri-binding"/>
<dc:subject>CIDOC CRM</dc:subject>
<dc:subject>SKOS</dc:subject>
<dc:subject>semantic interoperability</dc:subject>
<dc:subject>thesaurus</dc:subject>
<dc:title>Implementing archaeological periods using CIDOC CRM and SKOS (full paper)</dc:title>
<swrc:abstract>Within the archaeology domain, datasets frequently refer to time periods using a variety of textual or numeric formats. Traditionally controlled vocabularies of time periods have used classification notation and the collocation of terms in the printed form to represent and convey tacit information about the relative order of concepts. The emergence of the semantic web entails encoding this knowledge into machine readable forms, and so the meaning of this informal ordering arrangement can be lost. Conversion of controlled vocabularies to Simple Knowledge Organisation System (SKOS) format provides a formal basis for semantic web indexing but does not facilitate chronological inference - as thesaurus relationship types are an inappropriate mechanism to fully describe temporal relationships. This becomes an issue in archaeological data where periods are often described in terms of (e.g.) named monarchs or emperors, without additional information concerning relative chronological context. An exercise in supplementing existing controlled vocabularies of time period concepts with dates and temporal relationships was undertaken as part of the Semantic Technologies for Archaeological Resources (STAR) project. The general aim of the STAR project is to demonstrate the potential benefits in cross searching archaeological data conforming to a common overarching conceptual data structure schema - the CIDOC Conceptual Reference Model (CRM). This paper gives an overview of STAR applications and services and goes on to particularly focus on issues concerning the extraction and representation of time period information.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/ceri-binding"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/59/authorlist"/>
<rdfs:label>Implementing archaeological periods using CIDOC CRM and SKOS (full paper)</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/ceri-binding"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/59/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/ceri-binding"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/7">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/dhavalkumar-thakker"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/phil-lakin"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/shakti-gohil"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/taha-osman"/>
<dc:subject>Benchmarking</dc:subject>
<dc:subject>RDF stores</dc:subject>
<dc:subject>Semantic Commercial Application</dc:subject>
<dc:subject>Semantic Repository</dc:subject>
<dc:subject>Triplestore</dc:subject>
<dc:title>A Pragmatic Approach to Semantic Repositories Benchmarking</dc:title>
<swrc:abstract>The aim of this paper is to benchmark various semantic repositories to evaluate their deployment in a commercial image retrieval and browsing technology. We adopt a two-phase approach for evaluating the target semantic repositories: analytical parameters such as query/reasoning language and expected minimum level of reasoning support are used to select the pool of the target repositories, and practical parameters such as load and query response times are used to select the best match to application requirements. In addition to utilising a widely accepted benchmark for OWL repositories (UOBM), we also use a real-life dataset from the target application, which provides us with the opportunity of consolidating our findings. A distinctive advantage of this benchmarking exercise is that the essential requirements for the target system such as the semantic expressivity and data scalability are clearly defined, which allows us to claim contribution to the benchmarking methodology for this class of applications.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/dhavalkumar-thakker"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/phil-lakin"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/shakti-gohil"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/taha-osman"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/7/authorlist"/>
<rdfs:label>A Pragmatic Approach to Semantic Repositories Benchmarking</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/dhavalkumar-thakker"/>
<maker rdf:resource="http://data.semanticweb.org/person/phil-lakin"/>
<maker rdf:resource="http://data.semanticweb.org/person/shakti-gohil"/>
<maker rdf:resource="http://data.semanticweb.org/person/taha-osman"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/inuse/7/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/dhavalkumar-thakker"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/taha-osman"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/shakti-gohil"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/phil-lakin"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/10">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/daniele-braga"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/davide-francesco-barbieri"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/emanuele-della-valle"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/michael-grossniklaus"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/stefano-ceri"/>
<dc:subject>Context-aware</dc:subject>
<dc:subject>Incremental Maintenance</dc:subject>
<dc:subject>Materialization</dc:subject>
<dc:subject>Reasoning</dc:subject>
<dc:subject>Stream</dc:subject>
<dc:title>Incremental Reasoning on Streams and Rich Background Knowledge</dc:title>
<swrc:abstract>Innovative context aware mobile applications require performing complex reasoning tasks that combine streaming information with rich background knowledge. For instance, from a stream of quantitative information about latitude and longitude such applications need to derive qualitative information about places like home, office, or gym. Then, rising up the level of abstraction, they need to reason about concrete problems, such as deciding how to reach such places, which means of transportation to choose, how to attend ongoing events nearby, or how to skip traffic jams. This article presents a technique for Stream Reasoning consisting in incremental maintenance of materializations of ontological entailments in presence of streaming information. In this article we elaborate on previous papers that extend to logic programming results from incremental maintenance of materialized views in deductive databases. Our contribution is a new technique that takes in explicit consideration the order in which streaming information arrives to the Stream Reasoner. By adding time validity information to each RDF statement, we show that is possible to compute a new complete and correct materialization by (a) simply dropping explicit statements and entailments that are no longer valid, and (b) evaluating a maintenance program that propagates changes in explicit RDF statements to the stored implicit entailments. In this paper, we also provide experimental evidence that our approach significantly reduces the time required to compute the new materialization, and that our approach opens up for several further optimizations.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/daniele-braga"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/davide-francesco-barbieri"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/emanuele-della-valle"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/michael-grossniklaus"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/stefano-ceri"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/10/authorlist"/>
<rdfs:label>Incremental Reasoning on Streams and Rich Background Knowledge</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/daniele-braga"/>
<maker rdf:resource="http://data.semanticweb.org/person/davide-francesco-barbieri"/>
<maker rdf:resource="http://data.semanticweb.org/person/emanuele-della-valle"/>
<maker rdf:resource="http://data.semanticweb.org/person/michael-grossniklaus"/>
<maker rdf:resource="http://data.semanticweb.org/person/stefano-ceri"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/10/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/davide-francesco-barbieri"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/daniele-braga"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/stefano-ceri"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/emanuele-della-valle"/>
<rdf:_5 rdf:resource="http://data.semanticweb.org/person/michael-grossniklaus"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/12">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/eugenio-di-sciascio"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/floriano-scioscia"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/michele-ruta"/>
<dc:subject>Description Logics</dc:subject>
<dc:subject>Matchmaking</dc:subject>
<dc:subject>Mobile Ad-hoc Networks</dc:subject>
<dc:subject>Semantic Web</dc:subject>
<dc:subject>Ubiquitous computing</dc:subject>
<dc:title>Mobile Semantic-based Matchmaking: a fuzzy DL approach</dc:title>
<swrc:abstract>Novel wireless handheld devices allow the adoption of revised and adapted discovery approaches originally devised for the Semantic Web in mobile ad-hoc networks. Nevertheless, resource constraints of such devices require an accurate re-design of frameworks and algorithms to efficiently support mobile users. The paper focuses on an implementation of concept abduction and contraction algorithms in (fuzzy) ALND DL settings to perform semantic matchmaking and provide logical explanation services. OWL-DL Knowledge Bases have been properly exploited to enable standard and non-standard inference services. The proposed framework has been implemented and tested in a fire hazards prevention case study: early experimental results are reported.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/eugenio-di-sciascio"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/floriano-scioscia"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/michele-ruta"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/12/authorlist"/>
<rdfs:label>Mobile Semantic-based Matchmaking: a fuzzy DL approach</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/eugenio-di-sciascio"/>
<maker rdf:resource="http://data.semanticweb.org/person/floriano-scioscia"/>
<maker rdf:resource="http://data.semanticweb.org/person/michele-ruta"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/12/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/michele-ruta"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/floriano-scioscia"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/eugenio-di-sciascio"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/13">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/christine-parent"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/dipanjan-chakraborty"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/stefano-spaccapietra"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/zhixian-yan"/>
<dc:subject>GPS feeds</dc:subject>
<dc:subject>computing platform</dc:subject>
<dc:subject>mobility data</dc:subject>
<dc:subject>semantic trajectory</dc:subject>
<dc:title>A Hybrid Model and Computing Platform for Spatio-Semantic Trajectories</dc:title>
<swrc:abstract>Research in spatio-temporal data mangement has progressed significantly towards efficient storage and indexing of mobility data. Typically such mobility data analytics is assumed to follow the model of a stream of (x,y,t) points, usually coming from GPS-enabled mobile devices. With large-scale adoption of GPS-driven systems in several application sectors (shipment tracking to geo-social networks), there is a growing demand from applications to understand the {\it spatio-semantic} behavior of mobile entities. {\it Spatio-semantic} behavior essentially means a semantic (and preferably contextual) abstraction of raw spatio-temporal location feeds. The core contribution of this paper lies in presenting a Hybrid Model and Computing Platform for developing a semantic overlay - analyzing and transforming raw mobility data (GPS) to meaningful semantic abstractions, starting from raw feeds to semantic trajectories. Secondly, we analyze large-scale GPS data using our computing platform and present results of extracted spatio-semantic trajectories. This impacts a large class of mobile applications requiring such semantic abstractions over streaming location feeds in real systems today.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/christine-parent"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/dipanjan-chakraborty"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/stefano-spaccapietra"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/zhixian-yan"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/13/authorlist"/>
<rdfs:label>A Hybrid Model and Computing Platform for Spatio-Semantic Trajectories</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/christine-parent"/>
<maker rdf:resource="http://data.semanticweb.org/person/dipanjan-chakraborty"/>
<maker rdf:resource="http://data.semanticweb.org/person/stefano-spaccapietra"/>
<maker rdf:resource="http://data.semanticweb.org/person/zhixian-yan"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/13/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/zhixian-yan"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/christine-parent"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/stefano-spaccapietra"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/dipanjan-chakraborty"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/4">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/lora-aroyo"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/natalia-stash"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/willem-van-hage"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/yiwen-wang"/>
<dc:subject>guided tour</dc:subject>
<dc:subject>mobile</dc:subject>
<dc:subject>rating</dc:subject>
<dc:subject>recommendation</dc:subject>
<dc:title>Finding Your Way through the Rijksmuseum with an Adaptive Mobile Museum Guide</dc:title>
<swrc:abstract>This paper describes a real-time routing system that implements a mobile museum tour guide for providing personalized tours tailored to the user position inside the museum and interests. The core of this tour guide originates from the CHIP (Cultural Heritage Information Personalization) Web-based tools set for personalized access to the Rijksmuseum Amsterdam collection. In a number of previous papers we presented these tools for interactive discovery of user's interests, semantic recommendations of artworks and art-related topics, and the (semi-)automatic generation of personalized museum tours. Typically, a museum visitor could wander around the museum and get attracted by artworks outside of the current tour he is following. To support a dynamic adaptation of the tour to the current user position and changing interests, we have extended the existing CHIP mobile tour guide with a routing mechanism based on the SWI-Prolog Space package. The package uses (1) the CHIP user profile containing user's preferences and current location; (2) the semantically enriched Rijksmuseum collection and (3) the coordinates of the artworks and rooms in the museum. This is a joint work between the Dutch nationally funded CHIP and Poseidon projects and the prototype demonstrator can be found at http://www.chip-project.org/spacechip.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/lora-aroyo"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/natalia-stash"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/willem-van-hage"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/yiwen-wang"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/4/authorlist"/>
<rdfs:label>Finding Your Way through the Rijksmuseum with an Adaptive Mobile Museum Guide</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/lora-aroyo"/>
<maker rdf:resource="http://data.semanticweb.org/person/natalia-stash"/>
<maker rdf:resource="http://data.semanticweb.org/person/willem-van-hage"/>
<maker rdf:resource="http://data.semanticweb.org/person/yiwen-wang"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/4/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/willem-van-hage"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/natalia-stash"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/yiwen-wang"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/lora-aroyo"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/6">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/bernhard-schandl"/>
<dc:subject>mobile applications</dc:subject>
<dc:subject>offline use</dc:subject>
<dc:subject>partial RDF graphs</dc:subject>
<dc:subject>replication</dc:subject>
<dc:subject>synchronization</dc:subject>
<dc:title>Replication and Versioning of Partial RDF Graphs</dc:title>
<swrc:abstract>The sizes of datasets available as RDF (e.g., as part of the Linked Data cloud) are increasing continuously. For instance, the recent DBpedia version consists of nearly 500 millions triples. A common strategy to avoid problems that arise e.g., from limited network connectivity or lack of bandwidth is to replicate data locally, therefore making them accessible for applications without depending on a network connection. For mobile devices with limited capabilities, however, the replication and synchronization of billions of triples is not feasible. To overcome this problem, we propose an approach to replicate parts of an RDF graph to a client. Applications may then apply changes to this partial replica while being offline; these changes are written back to the original data source upon reconnection. Our approach does not require any kind of additional logic (e.g., change logging) or data structures on the client side, and hence is suitable to be applied on devices with limited computing power and storage capacity.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/bernhard-schandl"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/6/authorlist"/>
<rdfs:label>Replication and Versioning of Partial RDF Graphs</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/bernhard-schandl"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/mobility/6/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/bernhard-schandl"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/onto/14">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/martin-knechtel"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/rafael-penaloza"/>
<dc:subject>access restrictions</dc:subject>
<dc:subject>black-box algorithms</dc:subject>
<dc:subject>labeled ontologies</dc:subject>
<dc:subject>ontology repair</dc:subject>
<dc:subject>security administration</dc:subject>
<dc:title>A Generic Approach for Correcting Access Restrictions to a Consequence</dc:title>
<swrc:abstract>Recent research has shown that annotations are useful for representing access restrictions to the axioms of an ontology and their implicit consequences. Previous work focused on assigning a label, representing its access level, to each consequence from a given ontology. However, a security administrator might not be satisfied with the access level obtained through these methods. In this case, one is interested in finding which axioms would need to get their access restrictions modified in order to get the desired label for the consequence. In this paper we look at this problem and present algorithms for solving it with a variety of optimizations. We also present first experimental results on large scale ontologies, which show that our methods perform well in practice.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/martin-knechtel"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/rafael-penaloza"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/onto/14/authorlist"/>
<rdfs:label>A Generic Approach for Correcting Access Restrictions to a Consequence</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/martin-knechtel"/>
<maker rdf:resource="http://data.semanticweb.org/person/rafael-penaloza"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/onto/14/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/martin-knechtel"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/rafael-penaloza"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/onto/16">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/danica-damljanovic"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/hamish-cunningham"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/milan-agatonovic"/>
<dc:subject>natural language interface</dc:subject>
<dc:subject>ontology</dc:subject>
<dc:subject>question-anwswering</dc:subject>
<dc:title>Natural Language Interface to Ontologies: combining syntactic analysis and ontology-based lookup through the user interaction</dc:title>
<swrc:abstract>With large datasets such as Linked Open Data available, there is a need for more user-friendly interfaces which will bring the advantages of these data closer to the casual users. Several recent studies have shown user preference to Natural Language Interfaces (NLIs) in comparison to others. Although many NLIs to ontologies have been developed, those that have reasonable performance are domain-specific and tend to require customisation for each new domain which, from a developer''s perspective, makes them expensive to maintain and unattractive for practical applications spanning different domains. In this paper we describe FREyA, a system which combines three methods used to assist the user while interacting with the system: feedback, query refinement, and query expansion. These are used in combination to explore whether the performance of existing NLI systems to ontologies can be improved without the extra cost of extensive customisation. We present an evaluation using Mooney geography dataset in order to compare our approach with other similar systems.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/danica-damljanovic"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/hamish-cunningham"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/milan-agatonovic"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/onto/16/authorlist"/>
<rdfs:label>Natural Language Interface to Ontologies: combining syntactic analysis and ontology-based lookup through the user interaction</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/danica-damljanovic"/>
<maker rdf:resource="http://data.semanticweb.org/person/hamish-cunningham"/>
<maker rdf:resource="http://data.semanticweb.org/person/milan-agatonovic"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/onto/16/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/danica-damljanovic"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/milan-agatonovic"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/hamish-cunningham"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/onto/27">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/biswanath-dutta"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/fausto-giunchiglia"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/feroz-farazi"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/vincenzo-maltese"/>
<dc:subject>Geo-spatial ontologies</dc:subject>
<dc:subject>WordNet</dc:subject>
<dc:title>GeoWordNet: a resource for geo-spatial applications</dc:title>
<swrc:abstract>Geo-spatial ontologies provide knowledge about places in the world and spatial relations between them. They are fundamental in order to build semantic information retrieval systems and to achieve semantic interoperability in geo-spatial applications. In this paper we present GeoWordNet, a semantic resource we created from the full integration of GeoNames, other high quality resources and WordNet. The methodology we followed was largely automatic, with manual checks when needed. This allowed us accomplishing at the same time a never reached before accuracy level and a very satisfactory quantitative result, both in terms of concepts and geographical entities.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/biswanath-dutta"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/fausto-giunchiglia"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/feroz-farazi"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/vincenzo-maltese"/>
<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
<swrc_ext:authorList rdf:resource="http://data.semanticweb.org/conference/eswc/2010/paper/onto/27/authorlist"/>
<rdfs:label>GeoWordNet: a resource for geo-spatial applications</rdfs:label>
<maker rdf:resource="http://data.semanticweb.org/person/biswanath-dutta"/>
<maker rdf:resource="http://data.semanticweb.org/person/fausto-giunchiglia"/>
<maker rdf:resource="http://data.semanticweb.org/person/feroz-farazi"/>
<maker rdf:resource="http://data.semanticweb.org/person/vincenzo-maltese"/>
</swrc:InProceedings>
<rdf:Description rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/onto/27/authorlist">
<rdf:_1 rdf:resource="http://data.semanticweb.org/person/fausto-giunchiglia"/>
<rdf:_2 rdf:resource="http://data.semanticweb.org/person/vincenzo-maltese"/>
<rdf:_3 rdf:resource="http://data.semanticweb.org/person/feroz-farazi"/>
<rdf:_4 rdf:resource="http://data.semanticweb.org/person/biswanath-dutta"/>
</rdf:Description>
<swrc:InProceedings rdf:about="http://data.semanticweb.org/conference/eswc/2010/paper/onto/29">
<swc:isPartOf rdf:resource="http://data.semanticweb.org/conference/eswc/2010/proceedings"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/anna-tordai"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/bob-wielinga"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/guus-schreiber"/>
<dc:creator rdf:resource="http://data.semanticweb.org/person/jacco-van-ossenbruggen"/>
<dc:subject>case study</dc:subject>
<dc:subject>cultural heritage</dc:subject>
<dc:subject>methodology</dc:subject>
<dc:subject>vocabulary alignment</dc:subject>
<dc:title>Aligning Large SKOS-like Vocabularies: Two Case Studies</dc:title>
<swrc:abstract>In this paper we build on our methodology for combining and selecting alignment techniques for vocabularies, with two alignment case studies of large vocabularies in two languages. Firstly, we analyze the vocabularies and based on that analysis choose our alignment techniques. Secondly, we test our hypothesis based on earlier work that by first generating alignments using simple lexical alignment techniques, followed by a separate disambiguation of alignments performs best in terms of precision and recall. The experimental results show for example, that this combination of techniques provides an estimated precision of 0.7 for a sample of 12,725 concepts for which alignments were generated of the total 27,992 concepts. Thirdly, we explain our results in light of the characteristics of the vocabularies and discuss their impact on the alignments techniques.</swrc:abstract>
<swrc:author rdf:resource="http://data.semanticweb.org/person/anna-tordai"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/bob-wielinga"/>
<swrc:author rdf:resource="http://data.semanticweb.org/person/guus-schreiber"/>
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<swrc:month>June</swrc:month>
<swrc:year>2010</swrc:year>
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<rdfs:label>Aligning Large SKOS-like Vocabularies: Two Case Studies</rdfs:label>
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<dc:creator rdf:resource="http://data.semanticweb.org/person/sonja-zillner"/>
<dc:subject>Knowledge Engineering</dc:subject>