Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
WordNet: a lexical database for English
Communications of the ACM
Contextual correlates of synonymy
Communications of the ACM
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
Building Hypertext Links By Computing Semantic Similarity
IEEE Transactions on Knowledge and Data Engineering
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Similarity between words computed by spreading activation on an English dictionary
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Word sense disambiguation and text segmentation based on lexical cohesion
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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Semantic similarity measurement can be applied in many different fields and has variety of ways to measure it. As a foundation paper for semantic similarity, we explored the edge counting method for measuring semantic similarity by considering the weighting attributes from where they affect an edge's strength. We considered the attributes of scaling depth effect and semantic relation type extensively. Further, we showed how the existing edge counting method could be improved by considering virtual connection. Finally, we compared the performance of the proposed method with a benchmark set of human judgment of similarity. The results of proposed measure were encouraging compared with other combined approaches.