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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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L'autore
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
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Composition of OWL-S based Atomic Processes
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LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846551406
ISBN 13: 9783846551400
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch. Codice articolo 9783846551400
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Composition of Owl-S Based Atomic Processes
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Composition of Owl-S Based Atomic Processes
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Composition of Owl-S Based Atomic Processes
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Composition of OWL-S based Atomic Processes
Editore:
LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846551406
ISBN 13: 9783846551400
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Codice articolo 9783846551400
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Composition of OWL-S based Atomic Processes | Towards a Semantic-based Workflow Model
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LAP LAMBERT Academic Publishing, 2012
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Taschenbuch. Condizione: Neu. Composition of OWL-S based Atomic Processes | Towards a Semantic-based Workflow Model | Duygu Çelik (u. a.) | Taschenbuch | 176 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846551400 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106713810
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Composition of OWL-S based Atomic Processes : Towards a Semantic-based Workflow Model
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846551406
ISBN 13: 9783846551400
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783846551400
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