An open-source toolkit for mining Wikipedia

Artificial Intelligence

Volumn 194, Issue , 2013, Pages 222-239

  Milne, David ^a   Witten, Ian H ^a  

^a UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

Annotation; Disambiguation; Ontology extraction; Semantic relatedness; Toolkit; Wikipedia

Indexed keywords

ANNOTATION; DISAMBIGUATION; ONTOLOGY EXTRACTION; SEMANTIC RELATEDNESS; TOOLKIT; WIKIPEDIA;

MINERS; NATURAL LANGUAGE PROCESSING SYSTEMS; RESEARCH; SEMANTICS; WEB SERVICES;

WEBSITES;

EID: 84870290122     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artint.2012.06.007     Document Type: Article

References (30)

1. S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, Z. Ives, Dbpedia: A nucleus for a web of open data, in: 6th International Semantic Web Conference, Busan, South Korea, 2007, pp. 715-728.
2. K. Bollacker, R. Cook, P. Tufts, Freebase: A shared database of structured general human knowledge, in: 22nd National Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2007, pp. 1962-1963. (Pubitemid 350149893)
3. A. Budanitsky, and G. Hirst Evaluating WordNet-based measures of lexical semantic relatedness Computational Linguistics 32 1 2006 13 47 (Pubitemid 43764024)
4. R.L. Cilibrasi, and P.M.B. Vitanyi The Google similarity distance IEEE Transactions on Knowledge and Data Engineering 19 3 2007 370 383 (Pubitemid 46374534)
5. G. de Melo, G. Weikum, Menta: Inducing multilingual taxonomies from Wikipedia, in: 19th ACM Conference on Information and Knowledge Management, Toronto, Canada, 2010, pp. 1099-1108.
6. J. Dean, and S. Ghemawat MapReduce: Simplified data processing on large clusters Communications of the ACM 51 1 2008 107 113
7. M. Erdmann, K. Nakayama, T. Hara, S. Nishio, An approach for extracting bilingual terminology from Wikipedia, in: 13th International Conference on Database Systems for Advanced Applications, New Delhi, India, 2008, pp. 380-392.
8. L. Finkelstein, E. Gabrilovich, Y. Matias, E. Rivlin, Z. Solan, G. Wolfman, and E. Ruppin Placing search in context: The concept revisited ACM Transactions on Information Systems 20 1 2002 116 131 (Pubitemid 44642309)
9. E. Gabrilovich Wikipedia preprocessor (Wikiprep). Retrieved 29 October 2010 from http://www.cs.technion.ac.il/~gabr/resources/code/wikiprep/ 2007
10. E. Gabrilovich, S. Markovitch, Computing semantic relatedness using Wikipedia-based explicit semantic analysis, in: 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, 2007, pp. 1606-1611.
11. S. Ghemawat, H. Gobioff, and S. Leung The Google file system ACM SIGOPS Operating Systems Review 37 5 2003 29 43 (Pubitemid 40929686)
12. A. Huang, D. Milne, E. Frank, I.H. Witten, Clustering documents using a Wikipedia-based concept representation, in: 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Bangkok, Thailand, 2009, pp. 628-636.
13. M. Ito, K. Nakayama, T. Hara, S. Nishio, Association thesaurus construction methods based on link co-occurrence analysis for Wikipedia, in: 17th ACM Conference on Information and Knowledge Management, Napa Valley, CA, 2008, pp. 817-826.
14. U.S. Kohomban, W.S. Lee, Learning semantic classes for word sense disambiguation, in: 43rd Annual Meeting of the Association for Computational Linguistics, Ann Arbor, MI, 2005, pp. 34-41.
15. D. Mackay Introduction to Gaussian Processes NATO ASI Series: Computer and Systems Sciences vol. 168 1998 pp. 133-166
16. O. Medelyan, C. Legg, Integrating Cyc and Wikipedia: Folksonomy meets rigorously defined common-sense, in: Wikipedia and Artificial Intelligence: An Evolving Synergy, Chicago, IL, 2008.
17. O. Medelyan, D. Milne, Augmenting domain-specific thesauri with knowledge from Wikipedia, in: New Zealand Computer Science Research Student Conference, Christchurch, New Zealand, 2008.
18. O. Medelyan, D. Milne, C. Legg, and I.H. Witten Mining meaning from Wikipedia International Journal of Human-Computer Studies 67 9 2009 716 754
19. O. Medelyan, I.H. Witten, D. Milne, Topic indexing with Wikipedia, in: Wikipedia and Artificial Intelligence: An Evolving Synergy, Chicago, IL, 2008, pp. 10-24.
20. D. Milne, O. Medelyan, I.H. Witten, Mining domain-specific thesauri from Wikipedia: A case study, in: Proc. IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, China, 2006, pp. 442-448.
21. D. Milne, I.H. Witten, An effective, low-cost measure of semantic relatedness obtained from Wikipedia links, in: Wikipedia and Artificial Intelligence: An Evolving Synergy, Chicago, IL, 2008, pp. 25-30.
22. D. Milne, I. Witten, Learning to link with Wikipedia, in: 17th ACM Conference on Information and Knowledge Management, Napa Valley, CA, 2008, pp. 509-518.
23. V. Nastase, D. Milne, and K. Filippova Summarizing with encyclopedic knowledge 2nd Text Analysis Conference 2009 National Institute of Standards and Technology Gaithersburg, MA
24. R. Navigli, S.P. Ponzetto, BabelNet: Building a very large multilingual semantic network, in: 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, 2010, pp. 216-225.
25. S. Ponzetto, and M. Strube Knowledge derived from Wikipedia for computing semantic relatedness Journal of Artificial Intelligence Research 30 1 2007 181 212
26. F.M. Suchanek, G. Kasneci, and G. Weikum Yago: A large ontology from Wikipedia and WordNet Web Semantics: Science, Services and Agents on the World Wide Web 6 3 2007 203 217
27. T. White Hadoop: The Definitive Guide second edition 2010 O'Reilly Media/Yahoo Press
28. I.H. Witten, E. Frank, and M.A. Hall Data Mining: Practical Machine Learning Tools and Techniques third edition 2011 Morgan Kaufmann Burlington, MA
29. H. Yadava The Berkeley DB Book 2007 Springer-Verlag New York
30. T. Zesch, C. Müller, and I. Gurevych Extracting lexical semantic knowledge from Wikipedia and Wiktionary Conference on Language Resources and Evaluation (LREC) 2008 Citeseer Marrakech, Morocco 1646 1652