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)


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.


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.


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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

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