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Friendly web services selection exploiting fuzzy formal concept analysis
by
Fenza, Giuseppe
, Senatore, Sabrina
in
Artificial Intelligence
/ Computational Intelligence
/ Control
/ Engineering
/ Exploitation
/ Focus
/ Internet resources
/ Internet service providers
/ Interoperability
/ Mathematical Logic and Foundations
/ Mechatronics
/ Ontology
/ Query formulation
/ Robotics
/ Semantic web
/ Semantics
/ User interface
/ User services
/ Web services
2010
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Friendly web services selection exploiting fuzzy formal concept analysis
by
Fenza, Giuseppe
, Senatore, Sabrina
in
Artificial Intelligence
/ Computational Intelligence
/ Control
/ Engineering
/ Exploitation
/ Focus
/ Internet resources
/ Internet service providers
/ Interoperability
/ Mathematical Logic and Foundations
/ Mechatronics
/ Ontology
/ Query formulation
/ Robotics
/ Semantic web
/ Semantics
/ User interface
/ User services
/ Web services
2010
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Do you wish to request the book?
Friendly web services selection exploiting fuzzy formal concept analysis
by
Fenza, Giuseppe
, Senatore, Sabrina
in
Artificial Intelligence
/ Computational Intelligence
/ Control
/ Engineering
/ Exploitation
/ Focus
/ Internet resources
/ Internet service providers
/ Interoperability
/ Mathematical Logic and Foundations
/ Mechatronics
/ Ontology
/ Query formulation
/ Robotics
/ Semantic web
/ Semantics
/ User interface
/ User services
/ Web services
2010
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Friendly web services selection exploiting fuzzy formal concept analysis
Journal Article
Friendly web services selection exploiting fuzzy formal concept analysis
2010
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Overview
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.
Publisher
Springer-Verlag,Springer Nature B.V
Subject
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