2008 LinkingDocumentToEncyclopedicKnowledge

From GM-RKB
(Redirected from Csomai & Mihalcea, 2008)
Jump to navigation Jump to search

Subject Headings: Wikification Task, Wikification Algorithm, Wikipedia.

Notes

Cited By

Quotes

Abstract

Wikipedia can support the development of automatic methods for keyword extraction and word-sense disambiguation. The Wikify system combines these two methods to automatically enrich a text with links to Wikipedia content. The system identifies the important concepts in a given document and automatically links these concepts to the corresponding Wikipedia pages. An evaluation of the system using a Turing-like test shows that the automatic annotations are hardly distinguishable from manual annotations. A second evaluation in an educational environment shows that enriching educational materials with such annotations can improve the learning process by allowing faster access to background knowledge. This article is part of a special issue on Natural Language Processing and the Web.

References

  • 1. Ilire Hasani-Mavriqi, Supporting Creation of Networked Knowledge by Automatically Generated Links, Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies, September 07-09, 2011, Graz, Austria
  • 2. Ikuya Yamada, Tomotaka Ito, Shinnosuke Usami, Shinsuke Takagi, Hideaki Takeda, Yoshiyasu Takefuji, Evaluating the Helpfulness of Linked Entities to Readers, Proceedings of the 25th ACM Conference on Hypertext and Social Media, September 01-04, 2014, Santiago, Chile
  • 3. Matias Nicoletti, Silvia Schiaffino, Daniela Godoy, Mining Interests for User Profiling in Electronic Conversations, Expert Systems with Applications: An International Journal, v.40 n.2, p.638-645, February, 2013
  • 4. Denis Helic, Sebastian Wilhelm, Ilire Hasani-Mavriqi, Markus Strohmaier, The Effects of Navigation Tools on the Navigability of Web-based Information Systems, Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies, September 07-09, 2011, Graz, Austria
  • 5. Sara Tonelli, Claudio Giuliano, Wikipedia As Frame Information Repository, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1, August 06-07, 2009, Singapore
  • 6. Massimo Poesio, Jon Chamberlain, Udo Kruschwitz, Livio Robaldo, Luca Ducceschi, Phrase Detectives: Utilizing Collective Intelligence for Internet-scale Language Resource Creation, Proceedings of the 24th International Conference on Artificial Intelligence, p.4202-4206, July 25-31, 2015, Buenos Aires, Argentina
  • 7. Massimo Poesio, Jon Chamberlain, Udo Kruschwitz, Livio Robaldo, Luca Ducceschi, Phrase Detectives: Utilizing Collective Intelligence for Internet-scale Language Resource Creation, ACM Transactions on Interactive Intelligent Systems (TiiS), v.3 n.1, p.1-44, April 2013
  • 8. Simone Paolo Ponzetto, Michael Strube, Taxonomy Induction based on a Collaboratively Built Knowledge Repository, Artificial Intelligence, v.175 n.9-10, p.1737-1756, June, 2011
  • 9. Sara Tonelli, Claudio Giuliano, Kateryna Tymoshenko, Wikipedia-based WSD for Multilingual Frame Annotation, Artificial Intelligence, 194, p.203-221, January, 2013
  • 10. Eduard Hovy, Roberto Navigli, Simone Paolo Ponzetto, Collaboratively Built Semi-structured Content and Artificial Intelligence: The Story So Far, Artificial Intelligence, 194, p.2-27, January, 2013
  • 11. Krisztian Balog, Yi Fang, Maarten De Rijke, Pavel Serdyukov, Luo Si, Expertise Retrieval, Foundations and Trends in Information Retrieval, v.6 n.2–3, p.127-256, February 2012
  • (Mihalcea & Csomai, 2007) ⇒ Rada Mihalcea, and Andras Csomai. (2007). “Wikify!: Linking documents to encyclopedic knowledge.” In: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management (CIKM 2007). doi:10.1145/1321440.1321475
  • …,


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2008 LinkingDocumentToEncyclopedicKnowledgeRada Mihalcea
Andras Csomai
Linking Documents to Encyclopedic KnowledgeIEEE Intelligent Systemhttp://saude.londrina.pr.gov.br/buscapdf/mex2008050034.pdf10.1109/MIS.2008.862008