CONCEPT SIMILARITY IN FUZZY FORMAL CONCEPT ANALYSIS FOR SEMANTIC WEB

Anna Formica

doi:10.1142/s0218488510006465

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CONCEPT SIMILARITY IN FUZZY FORMAL CONCEPT ANALYSIS FOR SEMANTIC WEB

Anna Formica

Year: 2010 Journal: International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Vol: 18 (02)Pages: 153-167 Publisher: World Scientific

DOI: 10.1142/s0218488510006465

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Abstract

This paper presents a method for evaluating concept similarity within Fuzzy Formal Concept Analysis. In the perspective of developing the Semantic Web, such a method can be helpful when the digital resources found on the Internet cannot be treated equally and the integration of fuzzy data becomes fundamental for the search and discovery of information in the Web.

Keywords:

Computer science Social Semantic Web Semantic Web Semantic similarity Information retrieval Formal concept analysis Perspective (graphical) Fuzzy logic Similarity (geometry) The Internet World Wide Web Artificial intelligence Algorithm

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Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Advanced Computational Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

CONCEPT SIMILARITY IN FUZZY FORMAL CONCEPT ANALYSIS FOR SEMANTIC WEB

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