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Friendly web services selection exploiting fuzzy formal concept analysis

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Abstract

This work describes a system for supporting the user in the discovery of semantic web services, taking into account personal requirements and preference. Goal is to model an ad-hoc service request by selecting conceptual terms rather than using strict syntax formats. Through a concept-based navigation mechanism indeed, the user discovers conceptual terminology associated to the web resources and uses it to generate an appropriate service request which syntactical matches the names of input/output specifications. The approach exploits the fuzzy formal concept analysis for modeling concepts and relative relationships elicited from web resources. After the request formulation and submission, the system returns the list of semantic web services that match the user query.

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Correspondence to Giuseppe Fenza.

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Fenza, G., Senatore, S. Friendly web services selection exploiting fuzzy formal concept analysis. Soft Comput 14, 811–819 (2010). https://doi.org/10.1007/s00500-009-0469-2

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