Paperback. Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel Web service querying techniques. This includes a detailedframework for the query infrastructure for Web databases and services. Case studies are covered in the last section of this book.Semantic Web Services For Web Databases is designed for practitioners and researchers focused on service-oriented computing and Web databases. Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel Web service querying techniques. Semantic Web Services For Web Databases is designed for practitioners and researchers focused on service-oriented computing and Web databases. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Titolo: Semantic Web Services for Web Databases (Paperback)
Editore: Springer-Verlag New York Inc., New York
Data di pubblicazione: 2014
Lingua: Inglese
ISBN 10: 1489998071
ISBN 13: 9781489998071
Rilegatura: Paperback
Condizione: new

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Riassunto

Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel Web service querying techniques. This includes a detailed framework for the query infrastructure for Web databases and services. Case studies are covered in the last section of this book. Semantic Web Services For Web Databases is designed for practitioners and researchers focused on service-oriented computing and Web databases.

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“Ouzzani and Bouguettaya present an efficient and novel query structure based on the concept of quality of Web service (QoWS). They describe this as a contribution to the semantic Web, where software agents formulate queries on behalf of humans. ... For those who work with Web databases, optimization, and Web services, this book provides good background in ontology, the semantic Web, and Web databases. ... The book delivers a very good overview of the process of developing strategies for working with ontologies, queries, and optimization.” (Alyx Macfadyen, ACM Computing Reviews, June, 2012)

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