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BIOGRAPHICAL THESAURUS NRW Created by Jakob Moellers Institute for Geoinformatics, University of Muenster, Germany Folder Structure ---------------- data/ unprocessed-nwbib.zip Title data from NWBib. processed-gnd.tar.gz Converted persons ready for insertion. Concept Group/ Lobid Extractor for downloading and inserting person data. extractorScript.sh Shell script that 1. reads the title-data 2. downloads persons from GND 3. uploads persons to triplestore website/ Important files: query.js: Includes all functionality to query triple store and handle response build*Index.php: Build lucene index for full text search (this is not completed yet) get*FromIndex.php: Returns IDs from the lucene index (this is also not included) search_autocomplete: Code for the autocomplete-functions *.json: Dumps of index index_* folders: Folders that contain the generated lucene index common.php: This provides the multi-language support for the page. Obsolete: Concept Maps/ Old folder with obsolete concept maps. examples/ Some examples how to connect php to a triple store. New Concept Mapf for stis:Person concept ---------------------------------------- This has to be added with the Sesame Workbench Add function to create gnd:Person and stis:Person. @prefix stis: <http://localhost/default#>. @prefix gnd: <http://d-nb.info/standards/elementset/gnd#>. @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>. gnd:DifferentiatedPerson rdfs:subClassOf gnd:Person . gnd:UndifferentiatedPerson rdfs:subClassOf gnd:Person . gnd:Person rdf:type owl:Class ; rdfs:subClassOf stis:Person . stis:Person rdf:type owl:Class . Ideas and future goals for the biographical thesaurus [to be extended!] ----------------------------------------------------- -derive events from the data -what influenced a person/writing process (which historic events etc.)? -link historic maps to the person and the time and the place this person lived... cool idea :-) -can you outsource the process of linking resources to the user? maybe the user could use a tool to annotate the resources... like the Wikipedia concept -generate hypothesis from the data ("We assume that there was a person X in Münster at time YYYY") and present this to the user... maybe this is interesting for research/scientists of the domain (but: how to represent a hypothesis in RDF, what is a fact etc.)
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Biographical Thesaurus Developed for STIS Course 2012/2013
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