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Ingramcontent Ontological Engineering of Information Science

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Description

Explore the complex field of ontology within the context of artificial intelligence and information systems. This book addresses the growing importance of ontology as a component of the semantic web, covering a wide variety of knowledge domains. As the development of domain ontologies remains a significant challenge in design and implementation, this work provides necessary insights into areas requiring new models. Information Science (IS) specifically requires a unified ontology model to improve how we manage data. This text focuses on how such a model can facilitate better information access among heterogeneous data resources. By establishing a common understanding of the domain, this approach helps bridge the gap between different data systems. It is a valuable resource for those studying how to create structured knowledge frameworks to improve information sharing and system interoperability.

Key Features

Examines the role of ontology within artificial intelligence and information system communities.

Addresses the challenges of designing and implementing domain ontologies in modern computing.

Explores the application of ontology as a key component of the semantic web.

Provides a framework for creating a unified ontology model for Information Science.

Focuses on facilitating information access across heterogeneous data resources.

Offers methods to establish a common understanding of the Information Science domain.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 September 2016
Listed Since
22 August 2015

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