Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Extracting Hyponymy Patterns in Tibetan Language to Enrich Minority Languages Knowledge Base

  • Conference paper
Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7004))

  • 2207 Accesses

Abstract

Semantic ontology is a formal, explicit specification of a shared conceptualization. The construction of semantic ontology knowledge base is the vital process in language processing, which is applied in information retrieval, information extraction and automatic translation. Hyponymy pattern is a basic semantic relationship between concepts, which is used to concepts acquisition to enrich ontology automatically. In this paper, the construction idea of multilingual ontology with unified criteria and interface are introduced, and hyponymy pattern is represented as a pair of a meaning frame defining the necessary information extraction in Tibetan language. The research of hyponymy relationship pattern can assist concept enrichment in ontology, which can reduce the cost during the ontology engineering process.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

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. Neches, R., Fikes, R.E., Cruber, T.R., et al.: Enabling Technology for Knowledge Sharing. AI Magazine 12(3), 36–56 (1991)

    Google Scholar 

  2. Agirre, E., Ansa, O., Hovy, E., Martinez, D.: Enriching very large ontologies using the WWW. In: ECAI 2000 (2000)

    Google Scholar 

  3. Mititelu, V.B.: Hyponymy patterns. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds.) TSD 2008. LNCS (LNAI), vol. 5246, pp. 37–44. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  4. HowNet, http://www.keenage.com/

  5. Jiang, D., Long, C.: Research of characters in Tibetan language – character, sound, code, sorting, graph, and rules of Latin interoperability. Social Sciences Academic Press, Beijing (2010)

    Google Scholar 

  6. Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th International Conference on Computational Linguistics, Nantes, France, pp. 539–545 (1992)

    Google Scholar 

  7. Brent, M.R.: Automatic acquisition of subcategorization frames from untagged, free-text corpora. In: Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics (1991)

    Google Scholar 

  8. Liu, L., Zhang, S., Diao, L.H., Yan, S.Y., Cao, C.G.: Using Concept Space to Verify Hyponymy in Building a Hyponymy Lexicon. In: Deng, H., Wang, L., Wang, F.L., Lei, J. (eds.) AICI 2009. LNCS, vol. 5855, pp. 479–486. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Qiu, L., Weng, Y., Zhao, X., Qiu, X. (2011). Extracting Hyponymy Patterns in Tibetan Language to Enrich Minority Languages Knowledge Base. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23896-3_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23896-3_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23895-6

  • Online ISBN: 978-3-642-23896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics