A Cross-Cluster Approach for Measuring Semantic Similarity between Concepts

  title={A Cross-Cluster Approach for Measuring Semantic Similarity between Concepts},
  author={Hisham Al-Mubaid and Hoa A. Nguyen},
  journal={2006 IEEE International Conference on Information Reuse & Integration},
We present a cross-cluster approach for measuring the semantic similarity/distance between two concept nodes in ontology. The proposed approach helps overcome the differences of granularity degrees of clusters in ontology that most ontology-based measures do not concern. The approach is based on 3 features (1) cross-modified path length feature between the concept nodes, (2) a new features: the common specificity feature of two concept nodes in the ontology hierarchy, and (3) the local… CONTINUE READING
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Development and Application of a Metric on Semantic Nets

  • R. Rada, H. Mili, E. Bichnell, M. Blettner
  • IEEE Trans. Systems, Man, and Cybernetics, vol. 9…
  • 1989
Highly Influential
4 Excerpts

Combining local context and WordNet similarity for word sense identification

  • C. Leacock, M. Chodorow
  • Fellbaum, C., ed., WordNet: An electronic lexical…
  • 1998
2 Excerpts

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