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Discovery of Relation Axioms from the Web

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Knowledge Science, Engineering and Management (KSEM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6291))

Abstract

Given the proven usefulness of ontologies in many areas, the representation of logical axioms associated to ontological concepts and relations has become an important task in order to create an expressive representation of domain knowledge. Manual inclusion of logical axioms into an ontology can be a harsh, time consuming task. As a result, very few ontologies include axioms in their formal definition. From the ontology learning point of view, axiom learning is one of the less tackled and unexplored problems. In this paper we introduce a preliminary methodology to learn axioms associated to ontological relationships in an automatic and unsupervised way using the Web as corpus.

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References

  1. Sánchez, D.: Domain Ontology Learning from the Web. VDM Verlag Dr. Mueller (2008)

    Google Scholar 

  2. Cimiano, P.: Ontology Learning and Population from Text. Springer Science, 9–10 (2006)

    Google Scholar 

  3. Euzenat, J.M.: Research Challenges and perspectives of the Semantic Web. In: Report of the EU-NSF strategic workshop, Sophia-Antipolis, France, pp. 86–88 (2001)

    Google Scholar 

  4. Volker, J., Haase, P., Hitzler, P.: Learning Expressive Ontologies. In: Conference on Ontology Learning and Population, Germany, pp. 45–69 (2008)

    Google Scholar 

  5. Sánchez, D., Moreno, A.: Pattern-based automatic taxonomy learning from the Web. AI Communications 21(1), 27–48 (2008)

    MATH  MathSciNet  Google Scholar 

  6. Shamsfard, M., Abdollahzadeh, A.: Learning Ontologies from Natural Language Texts. International Journal of Human-Computer Studies 60, 17–63 (2004)

    Article  Google Scholar 

  7. Rudolph, S., Volker, J., Hitzler, P.: Supporting Lexical Ontology Learning by Relational Exploration. In: Priss, U., Polovina, S., Hill, R. (eds.) ICCS 2007. LNCS (LNAI), vol. 4604, pp. 488–491. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  8. Volker, J., Hitzler, P., Cimiano, P.: Acquisition of OWL DL Axioms from Lexical Resources. In: 4th European Conference on The Semantic Web, Germany, pp. 670–685 (2007)

    Google Scholar 

  9. Hearts, M.: Automatic Acquisition of Hyponyms from Large Text Corpora. In: 14th Conference on Computational linguistics, France, vol. 2, pp. 539–545 (1992)

    Google Scholar 

  10. Ritter, A., Downey, D., Soderland, S., Etzioni, O.: It’s a Contradiction-No it’s not: A Case study using Functional Relations. In: Conference on Empirical Methods in Natural Language Processing. University of Washington, USA, pp. 11–20 (2008)

    Google Scholar 

  11. Volker, J., Vrande, D., Sure, Y., Hotho, A.: Learning Disjointness. In: 4th European Conference on The Semantic Web, Germany, pp. 175–189 (2007)

    Google Scholar 

  12. Schutz, A., Buitelaar, P.: RelExt: A Tool for Relation Extraction from Text in Ontology Extension. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 593–606. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Dias, G., Santos, C., Cleuzious, G.: Automatic Knowledge Representation using a Graph-based Algorithm for Language-Independent Lexical Chaining. In: Workshop on Information Extraction Beyond The Document, Sydney, pp. 36–47 (2006)

    Google Scholar 

  14. Sánchez, D., Moreno, M.: Learning non-taxonomic relationships from web documents for domain ontology construction. Data and Knowledge Engineering 63(3), 600–623 (2008)

    Article  Google Scholar 

  15. Rudolph, T.: Exploring relational structures via FLE. In: Wolff, K.E., Pfeiffer, H.D., Delugach, H.S. (eds.) Conceptual Structures at Work, pp. 196–212 (2004)

    Google Scholar 

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Del Vasto Terrientes, L., Moreno, A., Sánchez, D. (2010). Discovery of Relation Axioms from the Web. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_22

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  • DOI: https://doi.org/10.1007/978-3-642-15280-1_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15279-5

  • Online ISBN: 978-3-642-15280-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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