Citation

Jo Daiber edited this page Feb 15, 2016 · 5 revisions
Clone this wiki locally

How to cite

If you use this work in your research, please cite:

Joachim Daiber, Max Jakob, Chris Hokamp, Pablo N. Mendes Improving Efficiency and Accuracy in Multilingual Entity Extraction. Proceedings of the 9th International Conference on Semantic Systems (I-Semantics). Graz, Austria, 4–6 September 2013.

@inproceedings{isem2013daiber,
  title = {Improving Efficiency and Accuracy in Multilingual Entity Extraction},
  author = {Joachim Daiber and Max Jakob and Chris Hokamp and Pablo N. Mendes},
  year = {2013},
  booktitle = {Proceedings of the 9th International Conference on Semantic Systems (I-Semantics)}
}

How to cite: Lucene version

For the older, Lucene-based version (not used in public endpoints or demos).

Pablo N. Mendes, Max Jakob, Andrés García-Silva and Christian Bizer. DBpedia Spotlight: Shedding Light on the Web of Documents. Proceedings of the 7th International Conference on Semantic Systems (I-Semantics). Graz, Austria, 7–9 September 2011.

@inproceedings{isem2011mendesetal,
  title = {DBpedia Spotlight: Shedding Light on the Web of Documents},
  author = {Pablo N. Mendes and Max Jakob and Andres Garcia-Silva and Christian Bizer},
  year = {2011},
  booktitle = {Proceedings of the 7th International Conference on Semantic Systems (I-Semantics)},
  abstract = {Interlinking text documents with Linked Open Data enables the Web of Data to be used as background knowledge within document-oriented applications such as search and faceted browsing. As a step towards interconnecting the Web of Documents with the Web of Data, we developed DBpedia Spotlight, a system for automatically annotating text documents with DBpedia URIs. DBpedia Spotlight allows users to configure the annotations to their specific needs through the DBpedia Ontology and quality measures such as prominence, topical pertinence, contextual ambiguity and disambiguation confidence. We compare our approach with the state of the art in disambiguation, and evaluate our results in light of three baselines and six publicly available annotation systems, demonstrating the competitiveness of our system. DBpedia Spotlight is shared as open source and deployed as a Web Service freely available for public use.}
}

The corpus used to evaluate DBpedia Spotlight in this work is described [http://wiki.dbpedia.org/spotlight/evaluation here].