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Research on the Calculation Method of Semantic Similarity Based on Concept Hierarchy

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Machine Translation (CWMT 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 668))

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Abstract

In this paper, for the low similarity computation accuracy of concept in the field of domain ontology mapping, formal concept analysis theory and rough set theory are introduced to similarity computation. Jointly considering attribute hierarchies in concept lattice, the semantic hierarchy of the concepts are weighted differently, and the theory and methods of semantic similarity based on concept hierarchy is given. Finally, similarity computing model is prospected. Experimental results show the model has a high computational accuracy.

Fund projects: Key Project of AnHui Education Department (KJ2015B023by); Key Project of Bengbu Medical College (BYKY1409ZD).

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Correspondence to Kai Wang .

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© 2016 Springer Nature Singapore Pte Ltd.

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Wang, K. (2016). Research on the Calculation Method of Semantic Similarity Based on Concept Hierarchy. In: Yang, M., Liu, S. (eds) Machine Translation. CWMT 2016. Communications in Computer and Information Science, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-10-3635-4_10

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  • DOI: https://doi.org/10.1007/978-981-10-3635-4_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3634-7

  • Online ISBN: 978-981-10-3635-4

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