skip to main content
10.5555/1567281.1567440guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Semantic relatedness in semantic networks

Published: 27 June 2008 Publication History

Abstract

This paper presents a new semantic relatedness measure on semantic networks (SN) that uses both hierarchical and non-hierarchical relations. Our approach relies on two assumptions. Firstly, in a given SN, only a few numbers of paths can be considered as “semantically correct” and these paths obey to a given set of rules. Secondly, following a given edge in a path has a cost (which depends on its type, is-a, part-of, etc.) and its position in the path. We propose an evaluation of our measure on WordNet with two different benchmarks, using the part-of relation. We show that, in this context, our measure does better than the classical semantic measures.

References

[1]
A. Budanitsky and G. Hirst, 'Evaluating wordnet-based measures of semantic distance', Computational Linguistics, 32(1), 13-47, (March 2006).
[2]
K. Eliasson, 'Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System', in Proc. of IJ- CAI07, pp. 1600-1605, (2007).
[3]
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, and Eytan Ruppin, 'Placing search in context: the concept revisited', in WWW '01: Proceedings of the 10th international conference on World Wide Web, pp. 406-414, New York, (2001). ACM Press.
[4]
J. Hau, W. Lee, and J. Darlington, 'A Semantic Similarity Measure for Semantic Web Services', in Proc. Workshop on Web Service Semantics, (2005).
[5]
G. Hirst and D. St-Onge, 'Lexical chains as representation of context for the detection and correction malapropisms', in WordNet: An Electronic Lexical Database, ed., Christiane Fellbaum, chapter 13, 305- 332, MIT Press, (1998).
[6]
J. Jiang and D. Conrath, 'Semantic similarity based on corpus statistics and lexical taxonomy', in Proc. on International Conference on Research in Computational Linguistics, pp. 19-33, Taiwan, (1997).
[7]
D. Lin, 'An information-theoretic definition of similarity', in Proc. 15th International Conf. on Machine Learning, pp. 296-304. Morgan Kaufmann, San Francisco, CA, (1998).
[8]
L. Mazuel and N. Sabouret, 'Generic command interpretation algorithms for conversational agents', in Proc. Intelligent Agent Technology (IAT'06), pp. 146-153. IEEE Computer Society, (2006).
[9]
G.A. Miller and W.G. Charles, 'Contextual correlates of semantic similarity', Language and Cognitive Processes, 6(1), 1-28, (1991).
[10]
R. Rada, H. Mili, E. Bicknell, and M. Blettner, 'Development and Application of a Metric on Semantic Nets', IEEE Transactions on Systems, Man, and Cybernetics, 19(1), 17-30, (1989).
[11]
P. Resnik, 'Using information content to evaluate semantic similarity in a taxonomy.', in 14th International Joint Conference on Artificial Intelligence (IJCAI'05), pp. 448-453, (1995).
[12]
N. Seco, T. Veale, and J. Hayes, 'An Intrinsic Information Content Metric for Semantic Similarity in WordNet', in Proc. ECAI'2004, the 16th European Conference on Artificial Intelligence, pp. 1089-1090, (2004).

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
June 2008
940 pages
ISBN:9781586038915

Publisher

IOS Press

Netherlands

Publication History

Published: 27 June 2008

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 17 Oct 2024

Other Metrics

Citations

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media