An ant-inspired approach for semantic web service clustering

This paper presents a method inspired by ants behavior for creating clusters of semantic Web services. The clustering method groups services according to their semantic similarity. Services are grouped in the same cluster if they provide similar functionality and their input and output parameters ar...

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Bibliographische Detailangaben
Hauptverfasser:	Chifu, V R, Pop, C B, Salomie, I, Dinsoreanu, M, Acretoaie, V, David, T
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	ant ant clustering Benchmark testing Clustering algorithms Clustering methods Computer science Ontologies ontology Search engines semantic matching Semantic Web semantic Web service service clustering Text analysis Text mining Web services
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