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Semantic annotation of hierarchical taxonomies

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Warianty tytułu
Konferencja
Human Language Technologies as a challenge for Computer Science and Linguistics (2; 21-23.04.2005; Poznań, Poland)
Języki publikacji
EN
Abstrakty
EN
Hierarchical taxonomies (HTs) like Web directories or marketplace catalogs are used to organize documents in a way that helps user in their retrieval. However, using HTs in tasks like automatic schema mapping or automatic services discovery requires the semantics of HTs hidden in their structures and labels to be made explicit. The goal of this paper is given a hierarchical taxonomy, return an interpretation of each node in terms of a logical formula built from word senses. In the proposed methodology we rely on a linguistic repositoryWordNet and we use Bayesian networks as a tool for the word sense disambiguation.
Słowa kluczowe
Rocznik
Strony
349--357
Opis fizyczny
Bibliogr. 15 poz. rys. tab.
Twórcy
Bibliografia
  • [1] E. Agirre and G. Rigau: Word sense disambiguation using conceptual density. In Proc. COLING'96. (1996).
  • [2] A. Doan, P. Domingos and A. Levy: Learning source descriptions for data integration. In Procc. 3rd Int. Workshop on the Web and Databases, Dallas, Texas, (2000), 81-86.
  • [3] C. Fellbaum (Ed.): WordNet: An Electronic Lexical Database. Cambrige, US. The MIT Press. 1998.
  • [4] D. Heckerman: A tutorial on Learning with Bayesian Networks. Technical Report MSRTR-9506. Advanced Technology Division, Microsoft Research, 1995.
  • [5] Hugin Lite 6.5. http://www.hugin.com.
  • [6] M. Kavalec and V. Svatek: Information Extraction and Ontology Learning Guided by Web Directory. In ECAI Workshop on NLP and ML for Ontology engineering, Lyon, (2002).
  • [7] S. Lamparter, M. Ehrig and C. Tempich: Knowledge Extraction from Classification Schemes. In Proc. CoopIS/DOA/ODBASE, (2004), 618-636.
  • [8] B. Magnini, L. Serafini and M. Speranza: Linguistic Based Matching of Local Ontologies. In Working notes of MeaN-02 (Workshop held in conjunction with AAAI2002), Edmonton. Alberta. Canada. (2002).
  • [9] B. Magnini, L. Serafini and M. Speranza: Making explicit the Semantics Hidden in Schema Models. In Proc. Workshop on Human Language Technology for the Semantic Web and Web Services, held at ISWC-2003. Sanibel Island, Florida, (2003).
  • [10] B. Magnini, M. Speranza and C. A. Girardi: Semantic based Approach to Interoperability of Classification Hierarchies: Evaluation of Linguistic Techniques. In Proc. COUNG-2004. Geneva, Switzerland, (2004).
  • [11] M. Missikoff, R. Navigli and P. Velardi: Integrated approach for Web ontology learning and engineering. IEEE Computer, November (2002).
  • [12] MSBNX. http://research.microsoft.com/adapt/MSBNx/.
  • [13] G. Ramakrishnan, B. P. Pritviraj, A. Deepa, P. Bhattacharyya and S. Chakrabarti: Soft Word Sense Disambiguation. In Proc. Int. Conf. Global Wordnet (GWC04) Brno, Czech Republic, (2004).
  • [14] J. Wiebe, T. O'Hara and R. Bruce: Constructing Bayesian Networks from WordNet for Word-Sense Disambiguation: Representational and Processing Issues. Usage of WordNet in Natural Language Processing Systems. Coling-ACL'98 Workshop, University of Montreal, (1998).
  • [15] A. Woods: Conceptual indexing: A better way to organize knowledge. Technical Report SMLI TR 97-61. Sun Microsystems Laboratories. Mountain View. CA. USA, (1997). http://www.sun.com/research/tcchrep/1997/abstract-6l.html.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW3-0021-0008
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