Skip to main content

DODDLE-OWL: A Domain Ontology Construction Tool with OWL

  • Conference paper
The Semantic Web – ASWC 2006 (ASWC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4185))

Included in the following conference series:

  • 1082 Accesses

Abstract

In this paper, we propose a domain ontology construction tool with OWL. The advantage of our tool is focusing the quality refinement phase of ontology construction. Through interactive support for refining the initial ontology, OWL-Lite level ontology, which consists of taxonomic relationships (defined as classes) and non-taxonomic relationships (defined as properties), is constructed effectively. The tool also provides semi-automatic generation of the initial ontology using domain specific documents and general ontologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American (2001)

    Google Scholar 

  2. Heijst, G.V.: The Role of Ontologies in Knowledge Engineering. Dr.thesis, University of Amsterdam (1995)

    Google Scholar 

  3. Ding, Y., Foo, S.: Ontology Research and Development, Part 1 – a Review of Onlotogy. Journal of Information Science, 123–136 (2002)

    Google Scholar 

  4. Michael, K., Smith, C.W., McGuinness, D.L.: OWL Web Ontology Language Guide (2004), http://www.w3.org/TR/owl-guide/

  5. Kurematsu, M., Iwade, T., Nakaya, N., Yamaguchi, T.: Doddle ii a domain ontology development environment using a mrd and text corpus. IEICE(E) E87-D(4), 908–916 (2004)

    Google Scholar 

  6. Morita, T., Izumi, N., Fukuta, N., Yamaguchi, T.: A graphical rdf-based meta-model management tool. IEICE(E) E89-D(4), 1368–1377 (2006)

    Google Scholar 

  7. Miller, G.A.: WordNet: A Lexical Database for English. ACM 38(11), 39–41 (1995)

    Article  Google Scholar 

  8. National Institute of Information and Communications Technology (EDR Electronic Dictionary Technical Guide), http://www2.nict.go.jp/kk/e416/EDR/ENG/E_TG/E_TG.html

  9. Velardi, P., Fabriani, P., Missikoff, M.: Using Text Processing Techniques to Automatically enrich a Domain Ontology. In: Proceedings of the international conference on Formal Ontology in Information Systems, pp. 270–284 (2001)

    Google Scholar 

  10. Marti, A., Hearst, H.S.: Customizing a Lexicon to Better Suit a Computational Task. Corpus Processing for Lexical Acquisition, 77–96 (1996)

    Google Scholar 

  11. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of VLDB Conference, pp. 487–499 (1994)

    Google Scholar 

  12. Java wordnet library, http://jwordnet.sourceforge.net/

  13. Nakagawa, H., Mori, T.: A simple but powerful automatic term extraction method. In: Computerm2: 2nd International Workshop on Computational Terminology, COLING-2002 WORKSHOP, pp. 29–35 (2002)

    Google Scholar 

  14. Sen, http://ultimania.org/sen/

  15. Tsuruoka, Y., Tsujii, J.: Bidirectional inference with the easiest-first strategy for tagging sequence data. In: Proceedings of HLT/EMNLP, pp. 467–474 (2005)

    Google Scholar 

  16. HP Labs: Jena Semantic Web Framework (2003), http://jena.sourceforge.net/downloads.html

  17. One, C.: xcbl:xml common business library, http://www.xcbl.org/

  18. Navigli, R., Velardi, P.: Automatic adaptation of wordnet to domains. In: Proceedings of International Workshop on Ontologies and Lexical Knowledge Bases (2002)

    Google Scholar 

  19. Yamaguchi, T.: Constructing domain ontologies based on concept drift analysis. In: IJCAI Workshop on Ontologies and Problem-Solving Methods, pp. 13–1–13–7 (1999)

    Google Scholar 

  20. Hahn, U., Schnattingerg, K.: Toward text knowledge engineering. In: AAAI-1998 proceeding, pp. 524–531 (1998)

    Google Scholar 

  21. Faure, D., Nedellec, C.: Knowledge Acquisition of Predicate Argument Structures from Technical Texts. In: Proceedings of International Conference on Knowledge Engineering and Knowledge Management, pp. 329–334 (1999)

    Google Scholar 

  22. Maedche, A., Staab, S.: Discovering Conceptual Relations from Text. In: Proceedings of 14th European Conference on Artificial Intelligence, pp. 321–325 (2000)

    Google Scholar 

  23. Ding, L., Pan, R., Finin, T., Joshi, A., Peng, Y., Kolari, P.: Finding and ranking knowledge on the semantic web. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 156–170. Springer, Heidelberg (2005), http://swoogle.umbc.edu/

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Morita, T., Fukuta, N., Izumi, N., Yamaguchi, T. (2006). DODDLE-OWL: A Domain Ontology Construction Tool with OWL. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11836025_52

Download citation

  • DOI: https://doi.org/10.1007/11836025_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38329-1

  • Online ISBN: 978-3-540-38331-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics