Skip to main content

Semantic Annotation Using Ontology and Bayesian Networks

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 6085)

Abstract

The research presents a semantic annotation framework, named BNOSA. The framework uses ontology to conceptualize a problem domain and uses Bayesian networks to resolve conflicts and to predict missing data. Experiments have been conducted to analyze the performance of the presented semantic annotation framework on different problem domains. The sets of corpuses used in the experiment belong to selling-purchasing websites where product information is entered by ordinary web users.

Keywords

  • Ontology
  • Bayesian Network
  • Semantic Annotation

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-13059-5_61
  • Chapter length: 3 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   99.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-13059-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   129.00
Price excludes VAT (USA)

References

  1. Michelson, M., Knoblock, C.A.: Semantic annotation of unstructured and ungrammatical text. In: Proceedings of 19th International Joint Conference on Artificial Intelligence, pp. 1091–1098 (2005)

    Google Scholar 

  2. Ding, Y., Embley, D., Liddle, S.: Automatic Creation and Simplified Querying of Semantic Web Content: An Approach Based on Information-Extraction Ontologies. In: Mizoguchi, R., Shi, Z.-Z., Giunchiglia, F. (eds.) ASWC 2006. LNCS, vol. 4185, pp. 400–414. Springer, Heidelberg (2006)

    CrossRef  Google Scholar 

  3. Yildiz, B., Miksch, S.: OntoX - a method for ontology-driven information extraction. In: Gervasi, O., Gavrilova, M.L. (eds.) ICCSA 2007, Part III. LNCS, vol. 4707, pp. 660–673. Springer, Heidelberg (2007)

    CrossRef  Google Scholar 

  4. Rajput, Q.N., Haider, S.: Use of Bayesian Network in Information Extraction from Unstructured Data Sources. International Journal of Information Technology 5(4), 207–213 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rajput, Q. (2010). Semantic Annotation Using Ontology and Bayesian Networks. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_61

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13059-5_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13058-8

  • Online ISBN: 978-3-642-13059-5

  • eBook Packages: Computer ScienceComputer Science (R0)