Semantic Similarity in a Taxonomy by Evaluating the Relatedness of Concept Senses with the Linked Data Semantic Distance

Author:

Formica AnnaORCID,Taglino FrancescoORCID

Publisher

Springer Berlin Heidelberg

Reference37 articles.

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2. Adhikari, A., Singh, S., Mondal, D., Dutta, B., Dutta, A.: A novel information theoretic framework for finding semantic similarity in wordnet. CoRR, arXiv:1607.05422, abs/1607.05422 (2016)

3. Adhikari, A., Dutta, B., Dutta, A., Mondal, D., Singh, S.: An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. J. Assoc. Inf. Sci. Technol. 69(8), 1023–1034 (2018)

4. Ajumder, G.O.M., Akray, P.A.P., Elbukh, A.L.G.: Measuring semantic textual similarity of sentences using modified information content and lexical taxonomy. Int. J. Comput. Linguist. Appl. 7(2), 65–85 (2016)

5. Banu, A., Fatima, S.S., Khan, K.: Information content based semantic similarity measure for concepts subsumed by multiple concepts. Int. J. Web Appl. 7(3), 85–94 (2015)

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