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Applied Semantic Web Technologies Gulla Jon Atle Sugumaran Vijayan

  • SKU: BELL-5397822
Applied Semantic Web Technologies Gulla Jon Atle Sugumaran Vijayan
$ 31.00 $ 45.00 (-31%)

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Publisher: Taylor & Francis
File Extension: PDF
File size: 41.04 MB
Pages: 454
Author: Gulla, Jon Atle; Sugumaran, Vijayan
ISBN: 9781439801574, 9781439808795, 9781439808801, 1439801576, 1439808791, 1439808805
Language: English
Year: 2012

Product desciption

Applied Semantic Web Technologies Gulla Jon Atle Sugumaran Vijayan by Gulla, Jon Atle; Sugumaran, Vijayan 9781439801574, 9781439808795, 9781439808801, 1439801576, 1439808791, 1439808805 instant download after payment.

"The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case studies to illustrate the history, current state, and future direction of the semantic web. It maintains an emphasis on real-world applications and examines the technical and practical issues related to the use of semantic technologies in intelligent information management. The book starts with an introduction to the fundamentalsreviewing ontology basics, ontology languages, and research related to ontology alignment, mediation, and mapping. Next, it covers ontology engineering issues and presents a collaborative ontology engineering tool that is an extension of the Semantic MediaWiki. Unveiling a novel approach to data and knowledge engineering, the text: Introduces cutting-edge taxonomy-aware algorithmsExamines semantics-based service composition in transport logisticsOffers ontology alignment tools that use information visualization techniquesExplains how to enrich the representation of entity semantics in an ontologyAddresses challenges in tackling the content creation bottleneckUsing case studies, the book provides authoritative insights and highlights valuable lessons learned by the authorsinformation systems veterans with decades of experience. They explain how to create social ontologies and present examples of the application of semantic technologies in building automation, logistics, ontology-driven business process intelligence, decision making, and energy efficiency in smart homes"--
Abstract: "The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case studies to illustrate the history, current state, and future direction of the semantic web. It maintains an emphasis on real-world applications and examines the technical and practical issues related to the use of semantic technologies in intelligent information management. The book starts with an introduction to the fundamentalsreviewing ontology basics, ontology languages, and research related to ontology alignment, mediation, and mapping. Next, it covers ontology engineering issues and presents a collaborative ontology engineering tool that is an extension of the Semantic MediaWiki. Unveiling a novel approach to data and knowledge engineering, the text: Introduces cutting-edge taxonomy-aware algorithmsExamines semantics-based service composition in transport logisticsOffers ontology alignment tools that use information visualization techniquesExplains how to enrich the representation of entity semantics in an ontologyAddresses challenges in tackling the content creation bottleneckUsing case studies, the book provides authoritative insights and highlights valuable lessons learned by the authorsinformation systems veterans with decades of experience. They explain how to create social ontologies and present examples of the application of semantic technologies in building automation, logistics, ontology-driven business process intelligence, decision making, and energy efficiency in smart homes"

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