Skip to main content

Acquiring Semantic Relations Using the Web for Constructing Lightweight Ontologies

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5476))

Abstract

Common techniques for acquiring semantic relations rely on static domain and linguistic resources, predefined patterns, and the presence of syntactic cues. We propose a hybrid approach which brings together established and novel techniques in lexical simplification, word disambiguation and association inference for acquiring coarse-grained relations between potentially ambiguous and composite terms using only dynamic Web resources. Our experiments using terms from two different domains demonstrate potential preliminary results.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sanchez, D., Moreno, A.: Learning non-taxonomic relationships from web documents for domain ontology construction. Data & Knowledge Engineering 64(3), 600–623 (2008)

    Article  Google Scholar 

  2. Schutz, A., Buitelaar, P.: Relext: A tool for relation extraction from text in ontology extension. In: Proceedings of the 4th International Semantic Web Conference (ISWC), Ireland (2005)

    Google Scholar 

  3. Rozenfeld, B., Feldman, R.: Clustering for unsupervised relation identification. In: Proceedings of the 16th ACM Conference on Information and Knowledge Management (2007)

    Google Scholar 

  4. Sumida, A., Yoshinaga, N., Torisawa, K.: Boosting precision and recall of hyponymy relation acquisition from hierarchical layouts in wikipedia. In: Proceedings of the 6th International Language Resources and Evaluation (LREC), Marrakech, Morocco (2008)

    Google Scholar 

  5. Sabou, M., d’Aquin, M., Motta, E.: Scarlet: Semantic relation discovery by harvesting online ontologies. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 854–858. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. Poesio, M., Almuhareb, A.: Identifying concept attributes using a classifier. In: Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition, Ann Arbor, USA (2005)

    Google Scholar 

  7. Shinyama, Y., Sekine, S.: Preemptive information extraction using unrestricted relation discovery. In: Proceedings of the NAACL Conference on Human Language Technology (HLT), New York (2006)

    Google Scholar 

  8. Jiang, T., Tan, A., Wang, K.: Mining generalized associations of semantic relations from textual web content. IEEE Transactions on Knowledge and Data Engineering 19(2), 164–179 (2007)

    Article  Google Scholar 

  9. Pei, M., Nakayama, K., Hara, T., Nishio, S.: Constructing a global ontology by concept mapping using wikipedia thesaurus. In: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, Okinawa, Japan (2008)

    Google Scholar 

  10. Wong, W., Liu, W., Bennamoun, M.: Determination of unithood and termhood for term recognition. In: Song, M., Wu, Y. (eds.) Handbook of Research on Text and Web Mining Technologies, IGI Global (2008)

    Google Scholar 

  11. Wong, W., Liu, W., Bennamoun, M.: Tree-traversing ant algorithm for term clustering based on featureless similarities. Data Mining and Knowledge Discovery 15(3), 349–381 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  12. Cilibrasi, R., Vitanyi, P.: The google similarity distance. IEEE Transactions on Knowledge and Data Engineering 19(3), 370–383 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wong, W., Liu, W., Bennamoun, M. (2009). Acquiring Semantic Relations Using the Web for Constructing Lightweight Ontologies. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, TB. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2009. Lecture Notes in Computer Science(), vol 5476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01307-2_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01307-2_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01306-5

  • Online ISBN: 978-3-642-01307-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics