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Semantic similarity based on compact concept ontology

Published: 21 April 2008 Publication History

Abstract

This paper presents a new method of calculating the semantic similarity between two articles based on WordNet. To further improve the performance of the proposed method, we build a new Compact Concept Ontology (CCO) from WordNet by combining the words with similar semantic meanings. The experimental results show that our approach significantly outperforms a recent proposal of computing semantic similarity, and demonstrate the superiority of the proposed CCO method.

References

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M. D. Boni and S. Manandhar. Implementing clarification dialogues in open domain question answering. In Natural Language Engineering, 2005.
[2]
C. D. Fellbaum. WordNet: An Electronic Lexical Database. MIT Press, 1998.
[3]
D. Lin. Using syntactic dependency as local context to resolve word sense ambiguity. In 35th ACL, 1997.
[4]
Z. Wu and M. Palmer. Verb semantics and lexical selection. In 32nd ACL, 1994.

Cited By

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  • (2019)Frequent similar pattern mining using non Boolean similarity functionsJournal of Intelligent & Fuzzy Systems10.3233/JIFS-17904036:5(4931-4944)Online publication date: 14-May-2019
  • (2012)MIXCDProceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation10.5555/2387636.2387704(425-429)Online publication date: 7-Jun-2012
  • (2009)A Revisit of Query Expansion with Different Semantic LevelsProceedings of the 14th International Conference on Database Systems for Advanced Applications10.1007/978-3-642-00887-0_58(662-676)Online publication date: 16-Mar-2009
  • Show More Cited By

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      cover image ACM Conferences
      WWW '08: Proceedings of the 17th international conference on World Wide Web
      April 2008
      1326 pages
      ISBN:9781605580852
      DOI:10.1145/1367497
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 21 April 2008

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      Author Tags

      1. concept
      2. ontology
      3. similarity

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      Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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      Cited By

      View all
      • (2019)Frequent similar pattern mining using non Boolean similarity functionsJournal of Intelligent & Fuzzy Systems10.3233/JIFS-17904036:5(4931-4944)Online publication date: 14-May-2019
      • (2012)MIXCDProceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation10.5555/2387636.2387704(425-429)Online publication date: 7-Jun-2012
      • (2009)A Revisit of Query Expansion with Different Semantic LevelsProceedings of the 14th International Conference on Database Systems for Advanced Applications10.1007/978-3-642-00887-0_58(662-676)Online publication date: 16-Mar-2009
      • (2008)A Semantic Similarity Decision Using Ontology Model Base On New N-ary Relation DesignJournal of the Korean Society for information Management10.3743/KOSIM.2008.25.4.04325:4(43-66)Online publication date: 31-Dec-2008

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