Posted:February 18, 2008

99 Wikipedia Sources Aiding the Semantic Web

W3C Semantic WebWikipedia

Most Comprehensive Reference List Available Shows Impressive Depth, Breadth

Since about 2005 — and at an accelerating pace — Wikipedia has emerged as the leading online knowledge base for conducting semantic Web and related research. The system is being tapped for both data and structure. Wikipedia has arguably replaced WordNet as the leading lexicon for concepts and relations. Because of its scope and popularity, many argue that Wikipedia is emerging as the de facto structure for classifying and organizing knowledge in the 21st century.

Our work on the UMBEL lightweight reference subject concept structure has stated since the project’s announcement in July 2007 that Wikipedia is a key intended resource for identifying subject concepts and entities. For the past few months I have been scouring the globe attempting to find every drop of research I could find on the use of Wikipedia for semantic Web, information extraction, categorization and related issues.

Thus, I’m pleased to offer up herein the most comprehensive such listing available anywhere: more than 99 resources and counting! (I say “more than” because some entries below have multiple resources; I just liked the sound of 99 as a round number!)

Wikipedia itself maintains a listing of academic studies using Wikipedia as a resource; fewer than one-third of the listings below are on that list (which itself may be an indication of the current state of completeness within Wikipedia). Some bloggers and other sources around the Web also maintain listings in lesser degrees of completeness.

It is well documented the tremendous growth of content and topics within Wikipedia (see, as examples, the W1, W2, W3, W4, W5, W6 and W7 internal Wikipedia sources for gory details), with as of early 2008 about 2.25 million articles in English and versions in 256 languages and variants.

Download access to the full knowledge base has enabled the development of notable core references to the Linked Data aspects of the semantic Web such as DBpedia [5,6] and YAGO [72,73]. Entire research teams, such as Ponzetto and Strube [61-65] (and others as well; see below) are moving toward creating a full-blown ontologies or structured knowledge bases useful for semantic Web purposes based on Wikipedia. So, one of the first and principle uses of Wikipedia to date has been as a data source of concepts, entities and relations.

But much broader data mining and text mining and analysis is being conducted against Wikipedia, that is currently defining the state-of-the-art in these areas, too:

  • Ontology development and categorization
  • Word sense disambiguation
  • Named entity recognition
  • Named entity disambiguation
  • Semantic relatedness and relations.

These objectives, in turn, are mining and extracting these various kinds of structure for these purposes in Wikipedia:

  • Articles
    • First paragraph — Definitions
    • Full text — Description of meaning; related terms; translations
    • Redirects — Synonymy; spelling variations, misspellings; abbreviations
    • Title — Named entities; domain specific terms or senses
    • Subject — Category suggestion (phrase marked in bold or in first paragraph)
    • Section heading — Category suggestions
  • Article links
    • Context — Related terms; co-occurrences
    • Label — Synonyms; spelling variations; related terms
    • Target — Link graph; related terms
    • LinksTo — Category suggestion
    • LinkedBy — Category suggestion
  • Categories
    • Category — Category suggestion
    • Contained articles — Semantically related terms (siblings)
    • Hierarchy — Hyponymic and meronymic relations between terms
  • Disambiguation pages
    • Article links — Sense inventory
  • Infobox Templates
    • Name –
    • Item — Category suggestion; entity suggestion
  • Lists
    • Hyponyms

These are some of the specific uses that are included in the 99 resources listed below.

This is an exciting (and, for most all of us just a few years back, unanticipated) use of the Web in socially relevant and contextual knowledge and research. I’m sure such a listing one year by now will be double in size or larger!

BTW, suggestions for new or overlooked entries are very much welcomed! :)

A – B

  1. Sisay Fissaha Adafre and Maarten de Rijke, 2006. Finding Similar Sentences across Multiple Languages in Wikipedia, in EACL 2006 Workshop on New Text–Wikis and Blogs and Other Dynamic Text Sources, April 2006.See http://www.science.uva.nl/~mdr/Publications/Files/eacl2006-similarsentences.pdf.
  2. Sisay Fissaha Adafre, V. Jijkoun and M. de Rijke. Fact Discovery in Wikipedia, in 2007 IEEE/WIC/ACM International Conference on Web Intelligence. See http://staff.science.uva.nl/~mdr/Publications/Files/wi2007.pdf.
  3. Sisay Fissaha Adafre and Maarten de Rijke, 2005. Discovering Missing Links in Wikipedia, in LinkKDD 2005, August 21, 2005, Chicago, IL. See http://data.isi.edu/conferences/linkkdd-05/Download/Papers/linkkdd05-13.pdf.
  4. David Ahn, Valentin Jijkoun, Gilad Mishne, Karin Müller, Maarten de Rijke, and Stefan Schlobach. 2004. Using Wikipedia at the TREC QA Track, in Proceedings of TREC 2004.
  5. Sören Auer, Chris Bizer, Jens Lehmann, Georgi Kobilarov, Richard Cyganiak and Zachary Ives, 2007. DBpedia: A nucleus for a web of open data, in Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, volume 4825 of LNCS, pages 715–728, November 2007. See http://iswc2007.semanticweb.org/papers/ISWC2007_IU_Auer.pdf.
  6. Sören Auer and Jens Lehmann, 2007. What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content, in The Semantic Web: Research and Applications, pages 503-517, 2007. See http://www.eswc2007.org/pdf/eswc07-auer.pdf.
  7. Somnath Banerjee, 2007. Boosting Inductive Transfer for Text Classification Using Wikipedia, at the Sixth International Conference on Machine Learning and Applications (ICMLA). See http://portal.acm.org/citation.cfm?id=1336953.1337115.
  8. Somnath Banerjee, Krishnan Ramanathan, Ajay Gupta, 2007. Clustering Short Texts using Wikipedia, poster presented at Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Amsterdam, The Netherlands, pp. 787-788.
  9. F. Bellomi and R. Bonato, 2005. Lexical Authorities in an Encyclopedic Corpus: A Case Study with Wikipedia, online reference not found.
  10. F. Bellomi and R. Bonato, 2005. Network Analysis for Wikipedia, presented at Wikimania 2005; see http://www.fran.it/articles/wikimania_bellomi_bonato.pdf
  11. Bibauw (2005) analyzed the lexicographical structure of Wiktionary (in French).
  12. Abhijit Bhole, Blaž Fortuna, Marko Grobelnik and Dunja Mladenić, 2007.Mining Wikipedia and Relating Named Entities over Time, see http://www.cse.iitb.ac.in/~abhijit.bhole/SiKDD2007ExtractingWikipedia.pdf.
  13. Razvan Bunescu and Marius Pasca. 2006. Using Encyclopedic Knowledge for Named Entity Disambiguation, in Proceedings of the 11th Conference of the EACL, pages 9-16, Trento, Italy.
  14. Razvan Bunescu, 2007. Learning for Information Extraction: From Named Entity Recognition and Disambiguation To Relation Extraction, Ph.D. thesis for the University of Texas, August 2007, 168 pp. See http://oucsace.cs.ohiou.edu/~razvan/papers/thesis-white.pdf.
  15. Luciana Buriol, Carlos Castillo, Debora Donato, Stefano Leonardi, and Stefano Millozzi. 2006. Temporal Analysis of the Wikigraph, in Proceedings of Web Intelligence, Hong Kong.
  16. Davide Buscaldi and Paolo Rosso, 2007. A Comparison of Methods for the Automatic Identification of Locations in Wikipedia, in Proceedings of GIR’07, November 9, 2007, Lisbon, Portugal, pp 89-91. See http://www.dsic.upv.es/~prosso/resources/BuscaldiRosso_GIR07.pdf.

C – F

  1. Ruiz-Casado, M., Alfonseca, E., and Castells, P. 2005. Automatic Assignment of Wikipedia Encyclopedic Entries to WordNet Synsets, in AWIC, pages 380-386. See http://nets.ii.uam.es/publications/nlp/awic05.pdf.
  2. Maria Ruiz-Casado, Enrique Alfonseca and Pablo Castells, 2006. From Wikipedia to Semantic Relationships: a Semi-automated Annotation Approach, in ESWC2006.
  3. Maria Ruiz-Casado, Enrique Alfonseca and Pablo Castells, 2007. Automatising the Learning of Lexical Patterns: an Application to the Enrichment of WordNet by Extracting Semantic Relationships from Wikipedia. See http://nets.ii.uam.es/publications/nlp/dke07.pdf.
  4. Sergey Chernov, Tereza Iofciu, Wolfgang Nejdl, and Xuan Zhou, 2006. Extracting Semantic Relationships between Wikipedia Categories, from SEMWIKI 2006.
  5. Aron Culotta, Andrew McCallum and Jonathan Betz, 2006. Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text, in Proceedings of HLT-NAACL-2006. See http://www.cs.umass.edu/~culotta/pubs/culotta06integrating.pdf
  6. Silviu Cucerzan, 2007. Large-Scale Named Entity Disambiguation Based on Wikipedia Data, in Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). See http://www.aclweb.org/anthology-new/D/D07/D07-1074.pdf.
  7. Cyclopedia, from the Cyc Foundation, an online version of Wikipedia that enables browsing the encyclopedia by concepts. See http://www.cycfoundation.org/blog/?page_id=15.
  8. Wisam Dakka and Silviu Cucerzan, 2008. Augmenting Wikipedia with Named Entity Tags, to be published in IJCNLP. See http://research.microsoft.com/users/silviu/Papers/np-ijcnlp08.pdf.
  9. Wisam Dakka and Silviu Cucerzan, 2008. Also, see the online tool http://wikinet.stern.nyu.edu/ (not yet implemented).
  10. Turdakov Denis, 2007. Recommender System Based on User-generated Content. See http://syrcodis.citforum.ru/2007/9.pdf.
  11. EachWiki, online system from Fu et al.
  12. Linyun Fu, Haofen Wang, Haiping Zhu, Huajie Zhang, Yang Wang and Yong Yu, 2007. Making More Wikipedians: Facilitating Semantics Reuse for Wikipedia Authoring, at ISWC 2007. See http://iswc2007.semanticweb.org/papers/ISWC2007_RT_Fu.pdf.

G – H

  1. Evgeniy Gabrilovich and Shaul Markovitch. 2006. Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge, in AAAI, pages 1301-1306, Boston, MA.
  2. Evgeniy Gabrilovich and Shaul Markovitch. 2007. Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis, in Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.
  3. Evgeniy Gabrilovich, 2006. Feature Generation for Textual Information Using World Knowledge, Ph.D. Thesis for The Technion – Israel Institute of Technology, Haifa, Israel, December 2006, 218 pp. See http://www.cs.technion.ac.il/~gabr/papers/phd-thesis.pdf. (There is also an informative video at http://www.researchchannel.org/prog/displayevent.aspx?rID=4915).)
  4. See also Gabrilovich’s Perl Wikipedia tool, WikiPrep.
  5. Rudiger Gleim, Alexander Mehler and Matthias Dehmer, 2007. Web Corpus Mining by Instance of Wikipedia, in Proc. 2nd Web as Corpus Workshop at EACL 2006. See http://acl.ldc.upenn.edu/W/W06/W06-1710.pdf.
  6. Andrew Gregorowicz and Mark A. Kramer, 2006. Mining a Large-Scale Term-Concept Network from Wikipedia, Mitre Technical Report, October 2006. See http://www.mitre.org/work/tech_papers/tech_papers_06/06_1028/06_1028.pdf.
  7. Andreas Harth, Hannes Gassert, Ina O’Murchu, John Breslin and Stefan Decker, 2005. WikiOnt: An Ontology for Describing and Exchanging Wiki Articles, presented at Wikimania, Frankfurt, 5th August 2005. See http://sw.deri.org/~jbreslin/presentations/20050805a.pdf.
  8. Martin Hepp, Daniel Bachlechner and Katharina Siorpaes, 2006. Harvesting Wiki Consensus – Using Wikipedia Entries as Ontology Elements, See http://www.heppnetz.de/files/SemWiki2006-Harvesting%20Wiki%20Consensus-LNCS-final.pdf.
  9. Martin Hepp, Katharina Siorpaes, Daniel Bachlechner, 2007. Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management, in IEEE Internet Computing, Vol. 11, No. 5, pp. 54-65, Sept-Oct 2007. See http://www.heppnetz.de/files/hepp-siorpaes-bachlechner-harvesting%20wikipedia%20w5054.pdf. Also, sample data at http://www.heppnetz.de/harvesting-wikipedia/.
  10. A. Herbelot and Ann Copestake, 2006. Acquiring Ontological Relationships from Wikipedia Using RMRS, in Proc. International Semantic Web Conference 2006 Workshop, Web Content Mining with Human Language Technologies, Athens, GA, 2006. See http://orestes.ii.uam.es/workshop/12.pdf.
  11. Ryuichiro Higashinaka, Kohji Dohsaka and Hideki Isozaki, 2007. Learning to Rank Definitions to Generate Quizzes for Interactive Information Presentation, in Companion Volume to the Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics; see pages 117-120 within http://acl.ldc.upenn.edu/P/P07/P07-2.pdf
  12. Todd Holloway, Miran Bozicevic, and Katy Börner. 2005. Analyzing and Visualizing the Semantic Coverage of Wikipedia and Its Authors. ArXiv Computer Science e-prints, cs/0512085.
  13. Wei Che Huang, Andrew Trotman, and Shlomo Geva, 2007. Collaborative Knowledge Management: Evaluation of Automated Link Discovery in the Wikipedia, in SIGIR 2007 Workshop on Focused Retrieval, July 27, 2007, Amsterdam, The Netherlands. See http://www.cs.otago.ac.nz/sigirfocus/paper_15.pdf.

I – K

  1. Jonathan Isbell and Mark H. Butler, 2007. Extracting and Re-using Structured Data from Wikis, Hewlett-Packard Technical Report HPL-2007-182, 14th November, 2007, 22 pp. See http://www.hpl.hp.com/techreports/2007/HPL-2007-182.pdf.
  2. Maciej Janik and Krys Kochut, 2007. Wikipedia in Action: Ontological Knowledge in Text Categorization, University of Georgia, Computer Science Department Technical Report no. UGA-CS-TR-07-001. See http://lsdis.cs.uga.edu/~mjanik/UGA-CS-TR-07-001.pdf.
  3. Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath and Gerhard Weikum, 2007. NAGA: Searching and Ranking Knowledge, Technical Report, Max-Planck-Institut f¨ur Informatik, MPI–I–2007–5–001, March 2007, 42 pp.See http://www.mpi-inf.mpg.de/~kasneci/naga/report.pdf
  4. Jun’ichi Kazama and Kentaro Torisawa, 2007. Exploiting Wikipedia as External Knowledge for Named Entity Recognition, in Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 698–707, Prague, June 2007.See http://acl.ldc.upenn.edu/D/D07/D07-1073.pdf.
  5. Daniel Kinzler, 2005. WikiSense Mining the Wiki, V 1.1, presented at Wikimania 2005, 10 pp. See http://brightbyte.de/repos/papers/2005/WikiSense-Presentation.pdf.
  6. A. Krizhanovsky, 2006. Synonym Search in Wikipedia: Synarcher, in 11th International Conference “Speech and Computer” SPECOM’2006. Russia, St. Petersburg, June 25-29, 2006, pp. 474-477. See http://arxiv.org/abs/cs/0606097 (also PDF).
  7. Natalia Kozlova, 2005. Automatic Ontology Extraction for Document Classification, a Master’s Thesis for Saarland University, February 2005, 90 pp. See http://domino.mpi-inf.mpg.de/imprs/imprspubl.nsf/80255f02006a559a80255ef20056fc02/3b864d86612739b0c1256fb70042547a/$FILE/Masterarbeit-Kozlova-Nat-2005.pdf. [READ]
  8. M. Krötzsch, D. Vrandečić and M. Völkel, 2005. Wikipedia and the Semantic Web: the Missing Links, at Wikimania 2005.Wikipedia and the Semantic Web: the Missing Links, at Wikimania 2005. See http://citeseer.ist.psu.edu/cache/papers/cs2/143/http:zSzzSzwww.aifb.uni-karlsruhe.dezSzWBSzSzmakzSzpubzSzwikimania.pdf/krotzsch05wikipedia.pdf.

L – N

  1. 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 ’07 , November 6-8, 2007, pp. 233-241. See ACM portal retrieval (http://portal.acm.org/citation.cfm?id=1321475&coll=Portal&dl=ACM&CFID=8333672&CFTOKEN=48251251).
  2. Rada Mihalcea, 2007. Using Wikipedia for Automatic Word Sense Disambiguation, in Proceedings of NAACL HLT 2007, pages 196–203, April 2007.See http://www.cs.unt.edu/~rada/papers/mihalcea.naacl07.pdf.
  3. David Milne, 2007. Computing Semantic Relatedness using Wikipedia Link Structure; see also the Wikipedia Miner Toolkit (http://sourceforge.net/projects/wikipedia-miner/) provided by the author
  4. D. Milne, O. Medelyan and I. H. Witten, 2006. Mining Domain-Specific Thesauri from Wikipedia: A Case Study, in Proceedings of the International Conference on Web Intelligence (IEEE/WIC/ACM WI’2006), Hong Kong. Also Olena Medelyan’s home page, http://www.cs.waikato.ac.nz/~olena/.
  5. David Milne, Ian H. Witten and David M. Nichols, 2007. A Knowledge-Based Search Engine Powered by Wikipedia, at CIKM ’07.
  6. Lev Muchnik, Royi Itzhack, Sorin Solomon and Yoram Louzoun, 2007. Self-emergence of Knowledge Trees: Extraction of the Wikipedia Hierarchies, in Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 76, No. 1.
  7. Nadeau, D., Turney, P., Matwin, S., 2006. Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity, at 19th Canadian Conference on Artificial Intelligence. Québec City, Québec, Canada. June 7, 2006.See http://www.iit-iti.nrc-cnrc.gc.ca/iit-publications-iti/docs/NRC-48727.pdf. Doesn’t specifically use Wikipedia, but techniques are applicable.
  8. Kotaro Nakayama, Takahiro Hara and Shojiro Nishio, 2007. Wikipedia Mining for an Association Web Thesaurus Construction, in Web Information Systems Engineering – WISE 2007, Vol. 4831 (2007), pp. 322-334.
  9. Dat P.T. Nguyen, Yutaka Matsuo and Mitsuru Ishizuka, 2007. Relation Extraction from Wikipedia Using Subtree Mining, from AAAI ’07.

O – P

  1. Yann Ollivier and Pierre Senellar, 2007. Finding Related Pages Using Green Measures: An Illustration with Wikipedia, in Proceedings of the AAAI-07 Conference. See http://pierre.senellart.com/publications/ollivier2006finding.pdf. See also http://pierre.senellart.com/publications/ollivier2006finding/ for tools and data.
  2. Simon Overell and Stefan Ruger, 2006. Identifying and Grounding Descriptions of Places, in SIGIR Workshop on Geographic Information Retrieval, pages 14–16, 2006.See http://mmis.doc.ic.ac.uk/www-pub/sigir06-GIR.pdf.
  3. Simone Paolo Ponzetto and Michael Strube, 2006. Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution, in NAACL 2006. See http://www.eml-research.de/english/homes/strube/papers/naacl06.pdf.
  4. Simone Paolo Ponzetto and Michael Strube, 2007a. Deriving a Large Scale Taxonomy from Wikipedia, in Association for the Advancement of Artificial Intelligence (AAAI2007).
  5. Simone Paolo Ponzetto and Michael Strube, 2007b. Knowledge Derived From Wikipedia For Computing Semantic Relatedness, in Journal of Artificial Intelligence Research 30 (2007) 181-212. See also these PPT slides (in PDF format): Part I, Part II, and References.
  6. Simone Paolo Ponzetto and Michael Strube, 2007c. An API for Measuring the Relatedness of Words in Wikipedia, in Companion Volume to the Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, See pages 49-52 within http://acl.ldc.upenn.edu/P/P07/P07-2.pdf
  7. Simone Paolo Ponzetto, 2007. Creating a Knowledge Base from a Collaboratively Generated Encyclopedia, in Proceedings of the NAACL-HLT 2007 Doctoral Consortium, pp 9-12, Rochester, NY, April 2007. See http://www.aclweb.org/anthology-new/N/N07/N07-3003.pdf.

R – S

  1. Tyler Riddle. 2006. Parse::mediawikidump. URL http://search.cpan.org/~triddle/Parse-MediaWikiDump-0.40/.
  2. Ralf Schenkel, Fabian Suchanek and Gjergji Kasneci, 2007. YAWN: A Semantically Annotated Wikipedia XML Corpus, in BTW2007.
  3. Péter Schönhofen, 2006. Identifying Document Topics Using the Wikipedia Category Network, in Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 456-462, 2006.See http://amber.exp.sis.pitt.edu/gale/paper/Identifying%20document%20topics%20using%20the%20Wikipedia%20category%20network.ppt.
  4. Börkur Sigurbjörnsson, Jaap Kamps, and Maarten de Rijke. 2006. Focused Access to Wikipedia. In Proceedings DIR-2006.
  5. Suzette Kruger Stoutenburg, 2007. Research Proposal: Acquiring the Semantic Relationships of Links between Wikipedia Articles, class proposal to http://www.coloradostoutenburg.com/cs589%20stoutenburg%20project%20proposal%20v1.doc
  6. Strube, M. and Ponzetto, S. P. 2006. WikiRelate! Computing Semantic Relatedness Using Wikipedia, in AAAI, pages 1419-1424, Boston, MA.
  7. Fabian M. Suchanek, Gjergji Kasneci and Gerhard Weikum, Yago – A Core of Semantic Knowledge, in 16th international World Wide Web Conference (WWW 2007), Banff, Alberta. See http://www.mpi-inf.mpg.de/~suchanek/downloads/yago/.
  8. Fabian M. Suchanek, Gjergji Kasneci and Gerhard Weikum, 2007. Yago: A Large Ontology from Wikipedia and WordNet, in Technical Report, submitted to the Elsevier Journal of Web Semantics 67 pp. See http://www.mpi-inf.mpg.de/~suchanek/publications/yagotr.pdf.
  9. Fabian M. Suchanek, Georgiana Ifrim and Gerhard Weikum, 2006. Combining Linguistic and Statistical Analysis to Extract Relations from Web Documents, in Knowledge Discovery and Data Mining (KDD 2006). See http://www.mpi-inf.mpg.de/~ifrim/publications/kdd2006.pdf.
  10. S. Suh, H. Halpin and E. Klein, 2006. Extracting Common Sense Knowledge from Wikipedia, in Proc. International Semantic Web Conference 2006 Workshop, Web Content Mining with Human Language Technologies, Athens, GA, 2006. See http://orestes.ii.uam.es/workshop/22.pdf.
  11. Zareen Syed, Tim Finin, and Anupam Joshi, 2008. Wikipedia as an Ontology for Describing Documents, from Proceedings of the Second International Conference on Weblogs and Social Media, AAAI, March 31, 2008. See http://ebiquity.umbc.edu/paper/html/id/383/Wikipedia-as-an-Ontology-for-Describing-Documents.

T – V

  1. J. A. Thom, J, Pehcevski and A. M. Vercoustre, 2007. Use of Wikipedia Categories in Entity Ranking. in Proceedings of the 12th Australasian Document Computing Symposium, Melbourne, Australia (2007). See http://arxiv.org/PS_cache/arxiv/pdf/0711/0711.2917v1.pdf.
  2. Antonio Toral and Rafael Muñoz, 2007. Towards a Named Entity Wordnet (NEWN), in Proceedings of the 6th International Conference on Recent Advances in Natural Language Processing (RANLP). Borovets (Bulgaria). pp. 604-608 . September 2007.See http://www.dlsi.ua.es/~atoral/publications/2007_ranlp_newn_poster.pdf.
  3. Antonio Toral and Rafael Muñoz, 2006. A Proposal to Automatically Build and Maintain Gazetteers for Named Entity Recognition by using Wikipedia, in Workshop on New Text, 11th Conference of the European Chapter of the Association for Computational Linguistics, Trento (Italy). April 2006.See http://www.dlsi.ua.es/~atoral/publications/2006_eacl-newtext_wiki-ner_paper.pdf.
  4. Anne-Marie Vercoustre, Jovan Pehcevski and James A. Thom, 2007. Using Wikipedia Categories and Links in Entity Ranking, in Pre-proceedings of the Sixth International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2007), Dec 17, 2007. See http://hal.inria.fr/docs/00/19/24/89/PDF/inex07.pdf.
  5. Anne-Marie Vercoustre, James A. Thom and Jovan Pehcevski, 2008. Entity Ranking in Wikipedia, in SAC’08 March 16-20, 2008, Fortaleza, Ceara, Brazil. See http://arxiv.org/PS_cache/arxiv/pdf/0711/0711.3128v1.pdf.
  6. Max Völkel, Markus Krötzsch, Denny Vrandecic, Heiko Haller and Rudi Studer, 2006. Semantic Wikipedia, in Proceedings of WWW2006, pp 585-594.See http://www.aifb.uni-karlsruhe.de/WBS/hha/papers/SemanticWikipedia.pdf
  7. Jakob Voss. 2006. Collaborative Thesaurus Tagging the Wikipedia Way. ArXiv Computer Science e-prints, cs/0604036. See http://arxiv.org/abs/cs.IR/0604036
  8. Denny Vrandecic, Markus Krötzsch and Max Völkel, 2007. Wikipedia and the Semantic Web, Part II, in Phoebe Ayers and Nicholas Boalch, Proceedings of Wikimania 2006 – The Second International Wikimedia Conference, Wikimedia Foundation, Cambridge, MA, USA, August 2007.See http://wikimania2006.wikimedia.org/wiki/Proceedings:DV1.

W – Z

  1. Wang Y , Wang H , Zhu H , Yu Y, 2007. Exploit Semantic Information for Category Annotation Recommendation in Wikipedia, in Natural Language Processing and Information Systems (2007), pp. 48-60.
  2. Gang Wang, Yong Yu and Haiping Zhu, 2007. PORE: Positive-Only Relation Extraction from Wikipedia Text, at ISWC 2007, See http://iswc2007.semanticweb.org/papers/ISWC2007_RT_Wang(1).pdf.
  3. Yotaro Watanabe, Masayuki Asahara and Yuji Matsumoto, 2007. A Graph-based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields, in EMNLP-CoNLL 2007, 29th June 2007, Prague, Czech. Has a useful CRF overview. See http://www.aclweb.org/anthology-new/D/D07/D07-1068.pdf and http://cl.naist.jp/~yotaro-w/papers/2007/emnlp2007.ppt.
  4. Timothy Weale, 2006. Utilizing Wikipedia Categories for Document Classification.
  5. Nicolas Weber and Paul Buitelaar, 2006. Web-based Ontology Learning with ISOLDE. See http://orestes.ii.uam.es/workshop/4.pdf.
  6. Wikify!, online service to automatically turn selected keywords into Wikipedia-style links. See http://www.wikifyer.com/.
  7. Wikimedia Foundation. 2006. Wikipedia. URL http://en.wikipedia.org/wiki/Wikipedia:Searching.
  8. Wikipedia, full database. See http://download.wikimedia.org.
  9. Wikipedia, general references. See especially (but only a small subset) for the Semantic Web, RDF, RDF Schema, OWL, SPARQL, GRDDL, W3C, Linked Data, many, many ontologies and controlled vocabularies such as FOAF, SKOS, SIOC, Dublin Core, etc; description logic areas (such as FOL), etc., etc. etc.
  10. Wikipedia, (as a) research source; see http://en.wikipedia.org/wiki/Wikipedia:Wikipedia_in_academic_studies.
  11. Fei Wu and Daniel S. Weld, 2007. Autonomously Semantifying Wikipedia.
  12. Hugo Zaragoza, Henning Rode, Peter Mika, Jordi Atserias, Massimiliano Ciaramita & Giuseppe Attardi, 2007. Ranking Very Many Typed Entities on Wikipedia, in CIKM ’07: Proceedings of the Sixteenth ACM International Conference on Information and Knowledge Management. See http://grupoweb.upf.es/hugoz/pdf/zaragoza_CIKM07.pdf.
  13. Torsten Zesch, Iryna Gurevych, Max Mühlhäuser, 2007. Analyzing and Accessing Wikipedia as a Lexical Semantic Resource, and the longer technical report. See http://www.ukp.tu-darmstadt.de/software/JWPL.
  14. Torsten Zesch and Iryna Gurevych, 2007. Analysis of the Wikipedia Category Graph for NLP Applications, in Proceedings of the TextGraphs-2 Workshop (NAACL-HLT).
  15. Vinko Zlatic, Miran Bozicevic, Hrvoje Stefancic, and Mladen Domazet. 2006. Wikipedias: Collaborative Web-based Encyclopedias as Complex Networks, in Physical Review E, 74:016115.

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99 Wikipedia Sources Aiding the Semantic Web

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Most Comprehensive Reference List Available Shows Impressive Depth, Breadth Since about 2005 — and at an accelerating pace — Wikipedia has emerged as the leading online knowledge base for conducting semantic Web and related research. The system is being tapped for both data and structure. Wikipedia has arguably replaced WordNet as the leading lexicon for […]

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12 thoughts on “99 Wikipedia Sources Aiding the Semantic Web

  1. Hi, I would like to suggest one of our projects to make it a three digit number!

    Bests,

    Sebastian

    Sebastian Blohm, Philipp Cimiano, Using the Web to Reduce Data Sparseness in Pattern-based Information Extraction, in Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp. 18-29. Springer , Warsaw, Poland, September 2007.

    http://www.aifb.uni-karlsruhe.de/WBS/seb/publications/pronto-pkdd07.pdf

  2. As usual, technical papers quickly become outdated. I would suggest replacing [82] with the more recent updated journal version:

    Markus Krötzsch, Denny Vrandecic, Max Völkel, Heiko Haller, Rudi Studer. Semantic Wikipedia. In Journal of Web Semantics 5/2007, pp. 251ÃÆ’ƒÂ¢ÃÆ’¢â€Ã…¡Ã‚¬ÃÆ’¢â‚¬Åâ€Å“261. Elsevier 2007. PDF at http://korrekt.org/page/Semantic_Wikipedia

    The project homepage with most recent content is at http://semantic-mediawiki.org.

    Cheers,

    Markus

  3. Hi, Mike.

    I’m one of the authors. What you done is quite helpful work for other Wikipedia researchers including me. Thank you very much.

    By the way, our system named “Wikipedia Thesaurus,” a huge scale association thesaurus constructed by mining Wikipedia, is available on the WWW to prove the capability of Wikipedia Mining. (The method is described in paper #57).

    http://wikipedia-lab.org:8080/WikipediaThesaurusV2/

    Recently, I developed a visualization program based on Java applet. Have a look and fun.

  4. Thank you for this great bibliography! I have collected quite a few papers about wikipedia myself (here), for my master’s thesis (see here). Have a look if you like – there’s quite some overlap, and the top-most 20 are the ones i imported from your list just now, so scroll down a bit.

    By the way: it would be nice to have your list in a machine-readable form, like bibtex, so entries can easily be transferred into places like citeulike or bibsonomy.

  5. Hi Daniel,

    So you are brightbyte; I have seen the reference many times before. :) Thank you for the compliment.

    I agree with your idea about machine readable form. In fact, I have been playing around at times with things like Zotero, Connotea and the ones you mention. What I am really looking for is an easy online place to put the thousands of references I track (the Wikipedia is only one example), but gives me easy re-formatting, etc. Initial finds I keep in an internal wiki, but structured entry is not the easiest.

    I probably already have encountered the solution, but have not taken it the last step. Any ideas?

  6. Hello again

    First, let me clarify that my thesis is work in progress. More work than progress, lately… I probably shouldn’t be posting on the web right now :)

    Anyway, I have myself been frustrated quite a bit about the state of the art of online bibliography systems. After ranting about it, some interresting discussion developed, involving, among others, Jakob Voss (who is not only one of the authors on your list, but also a professional bibliographer, involved with Wikipedia Deutschalnd and, it seems, with Zotero). Have a look and join in (account available on request but not needed for comments).

  7. Thanks Mike!

    Some refs you might wish to include (BibTeX format):

    @INPROCEEDINGS{Minier2007,
    author = {Minier, Zsolt and Bodo, Zalan and Csato, Lehel},
    title = {Wikipedia-Based Kernels for Text Categorization},
    booktitle = {International Symposium on Symbolic and Numeric Algorithms for Scientific
    Computing},
    year = {2007},
    pages = {157–164},
    address = {Timisoara, Romania},
    url = {http://ieeexplore.ieee.org/iel5/4438060/4438061/04438094.pdf?tp=&isnumber=&arnumber=4438094}
    }

    @INPROCEEDINGS{Picca2007,
    author = {Davide Picca and Adrian Popescu},
    title = {Using Wikipedia and supersense tagging for semi-automatic complex
    taxonomy construction},
    booktitle = {RANLP 2007, CALP workshop},
    year = {2007},
    address = {Borovets, Bulgaria},
    url = {http://moromete.net/articles/picca_et_al_calp07_cr.pdf}
    }

    @INCOLLECTION{Wang2007,
    author = {Gang Wang and Huajie Zhang and Haofen Wang and Yong Yu},
    title = {Enhancing Relation Extraction by Eliciting Selectional Constraint
    Features from {Wikipedia}},
    booktitle = {Natural Language Processing and Information Systems},
    publisher = {Springer},
    year = {2007},
    volume = {4592},
    series = {Lecture Notes in Computer Science},
    pages = {329–340},
    doi = {10.1007/978-3-540-73351-5\_29},
    journal = {Natural Language Processing and Information Systems},
    url = {http://dx.doi.org/10.1007/978-3-540-73351-5\_29}
    }

    @INPROCEEDINGS{Weaver2006,
    author = {Gabriel Weaver and Barbara Strickland and Gregory Crane},
    title = {Quantifying the accuracy of relational statements in {Wikipedia}:
    a methodology},
    booktitle = {JCDL ’06: Proceedings of the 6th ACM/IEEE-CS joint conference on
    Digital libraries},
    year = {2006},
    pages = {358–358},
    address = {New York, NY, USA},
    publisher = {ACM},
    doi = {http://doi.acm.org/10.1145/1141753.1141853},
    isbn = {1-59593-354-9},
    location = {Chapel Hill, NC, USA},
    }

    @INPROCEEDINGS{Wu2008,
    author = {Fei Wu and Daniel S. Weld},
    title = {Automatically Refining the {Wikipedia} Infobox Ontology},
    booktitle = {17th International World Wide Web Conference},
    year = {2008},
    address = {Beijing, China},
    month = {April},
    url = {http://www.cs.washington.edu/ai/iwp/publications/www08.pdf}
    }

    @INPROCEEDINGS{Zesch2007,
    author = {Torsten Zesch and Iryna Gurevych and Max Mühlhäuser},
    title = {Comparing {Wikipedia} and {German} {WordNet} by Evaluating Semantic
    Relatedness on Multiple Datasets},
    booktitle = {NAACL-HLT},
    year = {2007},
    owner = {Joel},
    timestamp = {2008.03.26},
    url = {http://elara.tk.informatik.tu-darmstadt.de/publications/2007/hlt-short.pdf}
    }

  8. WikiXMLDB provides a way of querying Wikipedia with XQuery:

    http://wikixmldb.dyndns.org/

    We have parsed English Wikipedia into a well-structured XML
    document (21 Gb in size) and loaded it into Sedna XML
    database (http://modis.ispras.ru/sedna). With WikiXMLDB
    demo you can run predefined or your own XQuery queries via
    Web interface.

    Querying Wikipedia in XQuery allows you to implement many
    interesting applications. Read “Use case” section
    (http://wikixmldb.dyndns.org/help/use-cases) for more
    details.

    Enjoy it!

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