Advertisement

Conceptual Graph Matching for Semantic Search

  • Jiwei Zhong
  • Haiping Zhu
  • Jianming Li
  • Yong Yu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2393)

Abstract

Semantic search becomes a research hotspot. The combined use of linguistic ontologies and structured semantic matching is one of the promising ways to improve both recall and precision. In this paper, we propose an approach for semantic search by matching conceptual graphs. The detailed definitions of semantic similarities between concepts, relations and conceptual graphs are given. According to these definitions of semantic similarity, we propose our conceptual graph matching algorithm that calculates the semantic similarity. The computation complexity of this algorithm is constrained to be polynomial. A prototype of our approach is currently under development with IBM China Research Lab.

Keywords

Semantic Similarity Domain Ontology Graph Match Semantic Distance Recursive Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Reference

  1. 1.
    L. Page, S. Brin, R. Motwani, and T. Winograd.: The PageRank citation ranking: Bringing order to the web. Technical report, Stanford University, 1998. Available at http://www-db.stanford.edu/~backrub/pageranksub.ps
  2. 2.
    Lum et.al.: An architecture for a multimedia DBMS supporting content search. In the Proceedings of International Conference on Computing and Information (ICCI’90), LNCS Vol.468, Springer-Verlag, 1990.Google Scholar
  3. 3.
    N. Guarino, C. Masolo, and G. Vetere.: OntoSeek: Content-Based Access to the Web. IEEE Intelligent Systems, 14(3), pp.70–80.Google Scholar
  4. 4.
    Y. A. Aslandogan, C. Thier, C. T. Yu, C. Liu, and K. R. Nair.: Design, implementation and evaluation of SCORE (a System for COntent based REtrieval of pictures). In Eleventh International Conference on Data Engineering, pages 280–287, Taipei, Taiwan, March 1995Google Scholar
  5. 5.
    J. F. Sowa.: Conceptual Structures: Information Processing in Mind and Machine, Addison-Wesley. 1984.Google Scholar
  6. 6.
    Lei Zhang and Yong Yu.: Learning to Generate CGs from Domain Specific Sentences. In proceeding of the 9th International Conference on Conceptual Structures, (ICCS2001), LNAI Vol.2120, Springer-Verlag, 2001.Google Scholar
  7. 7.
    Jonathan Poole and J. A. Campbell.: A Novel Algorithm for Matching Conceptual and Related Graphs. In G. Ellis et al eds, Conceptual Structures: Applications, Implementation and Theory, pp. 293–307, Santa Cruz, CA, USA. Springer-Verlag, LNAI 954, 1995.Google Scholar
  8. 8.
    George A. Miller.: WordNet: An On-line Lexical Database. In the International Journal of Lexicography, Vol.3, No.4, 1990.Google Scholar
  9. 9.
    John F. Sowa.: Knowledge Representation: Logical, Philosophical, and Computational Foundations, Brooks Cole Publishing Co., Pacific Grove, CA, 1999.Google Scholar
  10. 10.
    N. Kushmerick, Daniel S. Weld and Robert B. Doorenbos.: Wrapper Induction for Information Extraction. Intl. Joint Conference on Artificial Intelligence pp.729–737Google Scholar
  11. 11.
    Jianming Li, Lei Zhang and Yong Yu.: Learning to Generate Semantic Annotation for Domain Specific Sentences. In the Workshop on Knowledge Markup and Semantic Annotation, the First International Conference on Knowledge Capture (K-CAP 2001), Victoria B.C., Canada, Oct.2001.Google Scholar
  12. 12.
    T.H. Cormen, C.E.Leiserson and RX.Rivest: Introduction to Algorithms. The MIT Press, 1994.Google Scholar
  13. 13.
    W. Daelemans, S. Buchholz, and J. Veenstra.: Memory-Based Shallow Parsing. In Proceedings of EMNLP/VLC-99, pages 239–246, University of Maryland, USA, June 1999Google Scholar
  14. 14.
    Norman Foo, B. Garner, E. Tsui and A. Rao.: Semantic Distance in Conceptual Graphs. In J. Nagle and T. Nagle, editors, Fourth Annual Workshop on Conceptual Structures, 1989Google Scholar
  15. 15.
    A. Ralescu and A. Fadlalla.: The issue of semantic distance in knowledge representation with conceptual graphs. In Proceedings of Fifth Annual Workshop on Conceptual Structures, pages 141–142, 1990.Google Scholar
  16. 16.
    R. Richardson, A. F. Smeaton and J. Murphy.: Using WordNet as a Knowledge Base for Measuring Semantic Similarity between Words. In the Proceedings of AICS Conference, Trinity College, Dublin, Ireland, September 1994.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Jiwei Zhong
    • 1
  • Haiping Zhu
    • 1
  • Jianming Li
    • 1
  • Yong Yu
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiP. R. China

Personalised recommendations