An ant-inspired approach for semantic web service clustering

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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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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Beschreibung
Zusammenfassung: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 are annotated with similar ontology concepts. We propose a matching method which evaluates the semantic similarity level between two service descriptions. The ant-based clustering method was tested and validated on the set of semantic Web services included in the SAWSDL-TC benchmark collection.
ISSN:2068-1038