Composition of OWL-S based Atomic Processes: Towards a Semantic-based Workflow Model - Couverture souple

Çelik, Duygu; Elçi, Atilla

 
9783846551400: Composition of OWL-S based Atomic Processes: Towards a Semantic-based Workflow Model
Couverture souple
ISBN 10 : 3846551406 ISBN 13 : 9783846551400
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Lack of sufficient semantic description makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. As Semantic Web Services provide well-defined meaning, composition of new services is possible through logical deductions achieving resolutions automatically. This book develops an Inference-based Semantic Business Process Composition Agent (SCA). Utilizing Revised Armstrong’s Axioms (RAAs) in inferring functional dependencies, SCA System composes available OWL-S based atomic processes into required services. RAAs are embedded in the knowledge base ontology of SCA System. In order to find functional dependencies between processes in the candidate set of SWSs, the Semantic Matching Step (SMS) was prepared using a well-organized matchmaking algorithm. The SMS scores the similarity of two focused-on processes based on the assessment of distance among concepts. Experiments show that the SCA System produces process sequences as a composition plan that satisfies user’s requirement for a complex task. The SCA System is the first to use RAAs for semantic-based planning and inference.

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Présentation de l'éditeur

Lack of sufficient semantic description makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. As Semantic Web Services provide well-defined meaning, composition of new services is possible through logical deductions achieving resolutions automatically. This book develops an Inference-based Semantic Business Process Composition Agent (SCA). Utilizing Revised Armstrong’s Axioms (RAAs) in inferring functional dependencies, SCA System composes available OWL-S based atomic processes into required services. RAAs are embedded in the knowledge base ontology of SCA System. In order to find functional dependencies between processes in the candidate set of SWSs, the Semantic Matching Step (SMS) was prepared using a well-organized matchmaking algorithm. The SMS scores the similarity of two focused-on processes based on the assessment of distance among concepts. Experiments show that the SCA System produces process sequences as a composition plan that satisfies user’s requirement for a complex task. The SCA System is the first to use RAAs for semantic-based planning and inference.

Biographie de l'auteur

Duygu Çelik is Asst.Prof.Dr. at the Department of Computer Engineering of IAU,Turkey. Her research topics are Web&Semantics, Discovery and Composition of Semantic Web Services, Semantic Agents. She also supervises several researches and development projects based on Semantic Web supported by government, university and industry.duygucelik@msn.com

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3846551406
ISBN 13 
9783846551400
Reliure
Broché
Nombre de pages
176
Coordonnées du fabricant
non disponible
Personne responsable
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