@inproceedings{d7069b415001465b9aa3bc4246b21183,
title = "Combining ICS semantic factor into concept similarity evaluating based on RFCA",
abstract = "In this paper, a novel similarity measuring method based on Rough Formal Concept Analysis (RFCA) and information content similarity(ICS) is proposed which evaluates the similarity degree between the concepts. We use the information content approach to automatically obtain part of similarity scores of two concepts which makes up the normal featural and structural evaluating model. Thus the similarity of two concepts can be directly calculated from the lower object approximations and lower attribute approximations based on the RFCA and ICS. Consequently the proposed method combines semantic, featural and structural information into decision which can be viewed as the development of Tversky{\c a}{\'r}s similarity model.",
keywords = "concept lattice, formal context, information content similarity, rough set",
author = "Chongyang Shi and Zhendong Niu",
year = "2009",
doi = "10.1145/1806338.1806432",
language = "English",
isbn = "9781605586601",
series = "iiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services",
pages = "502--506",
booktitle = "iiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services",
note = "11th International Conference on Information Integration and Web-based Applications and Services, iiWAS2009 ; Conference date: 14-12-2009 Through 16-12-2009",
}