Discovery and selection of semantic web services /

Discovery and selection of semantic web services /

Saved in:

Bibliographic Details
Author / Creator:	Wang, Xia.
Imprint:	Berlin ; New York : Springer, ©2013.
Description:	1 online resource.
Language:	English
Series:	Studies in computational intelligence, 1860-949X ; 453 Studies in computational intelligence ; 453.
Subject:	Semantic Web. Web services. Web search engines. Ingénierie. Semantic Web. Web search engines. Web services. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11077381

Hidden Bibliographic Details
Other authors / contributors:	Halang, Wolfgang A., 1951-
ISBN:	9783642339387 3642339387 3642339379 9783642339370 9783642339370
Notes:	Includes bibliographical references.
Summary:	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.

Description
Physical Description:	1 online resource.
Bibliography:	Includes bibliographical references.
ISBN:	9783642339387 3642339387 3642339379 9783642339370
ISSN:	1860-949X ;