Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
WordNet: a lexical database for English
Communications of the ACM
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Complex semantic web ontology mapping
Web Intelligence and Agent Systems
OSS: a semantic similarity function based on hierarchical ontologies
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Measuring Semantic Similarity Based on WordNet
WISA '09 Proceedings of the 2009 Sixth Web Information Systems and Applications Conference
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words
IEEE Transactions on Knowledge and Data Engineering
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Sentence similarity measure is an important concern for researchers for text retrieval in areas such as text mining, web information retrieval, decision making and question matching. Existing methods for computing sentence similarity have been adopted and derived from word similarity measure and concentrated on multidimensional space. In this proposed work, words from the sentences are considered and their respective taxonomies are built using Word Net. The evolved taxonomies are merged to develop Hierarchical Ontologies. A comparison is done using an empirical formula (SenSim) on the Hierarchical Ontology developed from the two sentences and found that our proposed method gives fairly good sentence similarity measure.