Semantic Web Services
Fensel, Dieter.
Semantic Web Services [electronic resource] / by Dieter Fensel, Federico Michele Facca, Elena Simperl, Ioan Toma. - XI, 357 p. online resource.
Introduction -- Web Science -- Service Science -- Web Services -- Web2.0 and RESTful Services -- SemanticWeb -- Web Service Modeling Ontology -- The Web Service Modeling Language -- The Web Service Execution Environment -- Triple Space Computing for SemanticWeb Services -- OWL-S and Other Approaches -- Lightweight SemanticWeb Service Descriptions -- SWS Are Good For What: dip, SUPER, and SOA4All Use Cases -- Seekda: The Business Point of View.-.
A paradigm shift is taking place in computer science: one generation ago, we learned to abstract from hardware to software, now we are abstracting from software to serviceware implemented through service-oriented computing. Yet ensuring interoperability in open, heterogeneous, and dynamically changing environments, such as the Internet, remains a major challenge for actual machine-to-machine integration. Usually significant problems in aligning data, processes, and protocols appear as soon as a specific piece of functionality is used within a different application context. The Semantic Web Services (SWS) approach is about describing services with metadata on the basis of domain ontologies as a means to enable their automatic location, execution, combination, and use. Fensel and his coauthors provide a comprehensive overview of SWS in line with actual industrial practice. They introduce the main sociotechnological components that ground the SWS vision (like Web Science, Service Science, and service-oriented architectures) and several approaches that realize it, e.g. the Web Service Modeling Framework, OWL-S, and RESTful services. The real-world relevance is emphasized through a series of case studies from large-scale R&D projects and a business-oriented proposition from the SWS technology provider Seekda. Each chapter of the book is structured according to a predefined template, covering both theoretical and practical aspects, and including walk-through examples and hands-on exercises. Additional learning material is available on the book website www.swsbook.org. With its additional features, the book is ideally suited as the basis for courses or self-study in this field, and it may also serve as a reference for researchers looking for a state-of-the-art overview of formalisms, methods, tools, and applications related to SWS.
9783642191930
10.1007/978-3-642-19193-0 doi
Computer science.
Software engineering.
Artificial intelligence.
Management information systems.
Computer Science.
Information Systems Applications (incl. Internet).
Artificial Intelligence (incl. Robotics).
Business Information Systems.
Software Engineering.
QA76.76.A65
005.7
Semantic Web Services [electronic resource] / by Dieter Fensel, Federico Michele Facca, Elena Simperl, Ioan Toma. - XI, 357 p. online resource.
Introduction -- Web Science -- Service Science -- Web Services -- Web2.0 and RESTful Services -- SemanticWeb -- Web Service Modeling Ontology -- The Web Service Modeling Language -- The Web Service Execution Environment -- Triple Space Computing for SemanticWeb Services -- OWL-S and Other Approaches -- Lightweight SemanticWeb Service Descriptions -- SWS Are Good For What: dip, SUPER, and SOA4All Use Cases -- Seekda: The Business Point of View.-.
A paradigm shift is taking place in computer science: one generation ago, we learned to abstract from hardware to software, now we are abstracting from software to serviceware implemented through service-oriented computing. Yet ensuring interoperability in open, heterogeneous, and dynamically changing environments, such as the Internet, remains a major challenge for actual machine-to-machine integration. Usually significant problems in aligning data, processes, and protocols appear as soon as a specific piece of functionality is used within a different application context. The Semantic Web Services (SWS) approach is about describing services with metadata on the basis of domain ontologies as a means to enable their automatic location, execution, combination, and use. Fensel and his coauthors provide a comprehensive overview of SWS in line with actual industrial practice. They introduce the main sociotechnological components that ground the SWS vision (like Web Science, Service Science, and service-oriented architectures) and several approaches that realize it, e.g. the Web Service Modeling Framework, OWL-S, and RESTful services. The real-world relevance is emphasized through a series of case studies from large-scale R&D projects and a business-oriented proposition from the SWS technology provider Seekda. Each chapter of the book is structured according to a predefined template, covering both theoretical and practical aspects, and including walk-through examples and hands-on exercises. Additional learning material is available on the book website www.swsbook.org. With its additional features, the book is ideally suited as the basis for courses or self-study in this field, and it may also serve as a reference for researchers looking for a state-of-the-art overview of formalisms, methods, tools, and applications related to SWS.
9783642191930
10.1007/978-3-642-19193-0 doi
Computer science.
Software engineering.
Artificial intelligence.
Management information systems.
Computer Science.
Information Systems Applications (incl. Internet).
Artificial Intelligence (incl. Robotics).
Business Information Systems.
Software Engineering.
QA76.76.A65
005.7