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Discovery and Selection of Semantic Web Services [electronic resource] / by Xia Wang, Wolfgang A. Halang.

By: Wang, Xia [author.].
Contributor(s): Halang, Wolfgang A [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 453Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XIV, 154 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642339387.Subject(s): Engineering | Artificial intelligence | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl. Internet)Additional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
SemanticWeb Services and Ontologies -- RelatedWork -- A Service Model Facilitating to Discover SemanticWeb Services -- Building Application Ontologies for SemanticWeb Services -- Ontology-based Service Selection.-QoS-based Selection of Semantic Services -- Evaluation.
In: Springer eBooksSummary: For advanced web search engines to be able not only to search for semantically related information dispersed over different web pages, but also for semantic services providing certain functionalities, discovering semantic services is the key issue. Addressing four problems of current solution, this book presents the following contributions. A novel service model independent of semantic service description models is proposed, which clearly defines all elements necessary for service discovery and selection. It takes service selection as its gist and improves efficiency. Corresponding selection algorithms and their implementation as components of the extended Semantically Enabled Service-oriented Architecture in the Web Service Modeling Environment are detailed. Many applications of semantic web services, e.g. discovery, composition and mediation, can benefit from a general approach for building application ontologies. With application ontologies thus built, services are discovered in the same way as with single domain ontologies, and the mediation problem between service ontologies is solved. Further, an ontology-based approach to improve service discovery is proposed and validated. Within the service model, a service selection approach oriented at quality criteria is proposed. It normalises diverse qualities of a service in their respective metrics and employs a service selection algorithm based on soundness.
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SemanticWeb Services and Ontologies -- RelatedWork -- A Service Model Facilitating to Discover SemanticWeb Services -- Building Application Ontologies for SemanticWeb Services -- Ontology-based Service Selection.-QoS-based Selection of Semantic Services -- Evaluation.

For advanced web search engines to be able not only to search for semantically related information dispersed over different web pages, but also for semantic services providing certain functionalities, discovering semantic services is the key issue. Addressing four problems of current solution, this book presents the following contributions. A novel service model independent of semantic service description models is proposed, which clearly defines all elements necessary for service discovery and selection. It takes service selection as its gist and improves efficiency. Corresponding selection algorithms and their implementation as components of the extended Semantically Enabled Service-oriented Architecture in the Web Service Modeling Environment are detailed. Many applications of semantic web services, e.g. discovery, composition and mediation, can benefit from a general approach for building application ontologies. With application ontologies thus built, services are discovered in the same way as with single domain ontologies, and the mediation problem between service ontologies is solved. Further, an ontology-based approach to improve service discovery is proposed and validated. Within the service model, a service selection approach oriented at quality criteria is proposed. It normalises diverse qualities of a service in their respective metrics and employs a service selection algorithm based on soundness.

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