Abstract
As an important step towards bootstrapping the Semantic Web, many efforts have been made to extract triples from Wikipedia because of its wide coverage, good organization and rich knowledge. One kind of important triples is about Wikipedia articles and their non-isa properties, e.g. (Beijing, country, China). Previous work has tried to extract such triples from Wikipedia infoboxes, article text and categories. The infobox-based and text-based extraction methods depend on the infoboxes and suffer from a low article coverage. In contrast, the category-based extraction methods exploit the widespread categories. However, they rely on predefined properties, which is too effort-consuming and explores only very limited knowledge in the categories. This paper automatically extracts properties and triples from the less explored Wikipedia categories so as to achieve a wider article coverage with less manual effort. We manage to realize this goal by utilizing the syntax and semantics brought by super-sub category pairs in Wikipedia. Our prototype implementation outputs about 10M triples with a 12-level confidence ranging from 47.0% to 96.4%, which cover 78.2% of Wikipedia articles. Among them, 1.27M triples have confidence of 96.4%. Applications can on demand use the triples with suitable confidence.
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References
Opennlp, http://opennlp.sourceforge.net/
Porter stemmer, http://tartarus.org/martin/PorterStemmer/
Stanford parser, http://nlp.stanford.edu/software/lex-parser.shtml
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: DBpedia: A nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007)
Auer, S., Lehmann, J.: What have innsbruck and leipzig in common? Extracting semantics from wiki content. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 503–517. Springer, Heidelberg (2007)
Herbelot, A., Copestake, A.: Acquiring ontological relationships from wikipedia using RMRS. In: Proc.of the ISWC 2006 Workshop on Web Content Mining with Human Language Technologies (2006)
Nguyen, D.P.T., Matsuo, Y., Ishizuka, M.: Exploiting Syntactic and Semantic Information for Relation Extraction from Wikipedia. In: IJCAI Workshop on Text-Mining & Link-Analysis, TextLink 2007 (2007)
Ponzetto, S.P., Strube, M.: Deriving a large-scale taxonomy from wikipedia. In: AAAI 2007, pp. 1440–1445 (2007)
Ponzetto, S.P., Strube, M.: Knowledge derived from wikipedia for computing semantic relatedness. Journal of Artificial Intelligence Research 30, 181–212 (2007)
Strube, M., Ponzetto, S.P.: Wikirelate! computing semantic relatedness using wikipedia. In: AAAI (2006)
Suchanek, F., Kasneci, G., Weikum, G.: Yago: A large ontology from wikipedia and wordnet. Research Report MPI-I-2007-5-003, Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany (2007)
Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: WWW (2007)
Wang, G., Yu, Y., Zhu, H.: Pore: Positive-only relation extraction from wikipedia text. In: ISWC/ASWC, pp. 580–594 (2007)
Wu, F., Weld, D.S.: Autonomously semantifying wikipedia. In: CIKM (2007)
Wu, F., Weld, D.S.: Automatically refining the wikipedia infobox ontology. In: WWW, pp. 635–644 (2008)
Yu, J., Thom, J.A., Tam, A.M.: Ontology evaluation using wikipedia categories for browsing. In: CIKM, pp. 223–232 (2007)
Zesch, T., Gurevych, I.: Analysis of the wikipedia category graph for nlp applications. In: Proceedings of the TextGraphs-2 Workshop (NAACL-HLT) (2007)
Zirn, C., Nastase, V., Strube, M.: Distinguishing between instances and classes in the wikipedia taxonomy. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 376–387. Springer, Heidelberg (2008)
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Liu, Q., Xu, K., Zhang, L., Wang, H., Yu, Y., Pan, Y. (2008). Catriple: Extracting Triples from Wikipedia Categories. In: Domingue, J., Anutariya, C. (eds) The Semantic Web. ASWC 2008. Lecture Notes in Computer Science, vol 5367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89704-0_23
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DOI: https://doi.org/10.1007/978-3-540-89704-0_23
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