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- Title: Linked Data: A Geographic Perspective
- Author(s) Glen Hart, Catherine Dolbear
- Publisher: CRC Press; 1st edition (January 28, 2013); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback: 290 pages
- eBook: PDF and ePub
- Language: English
- ISBN-10: 1439869952
- ISBN-13: 978-1439869956
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Combine Geographic Information from Multiple Sources Using Linked Data - A Practical, Readable Guide for Geographers, Software Engineers, and Laypersons.
Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so.
About the Authors- N/A
- Linked Data, Semantic Web and Web 3.0
- Geographic Information Science and Systems (GIS)
- Artificial Intelligence, Machine Learning, and Logic Programming
- Data Analysis and Data Mining
- Web Programming
- Website Style, Design and Accessibility
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Linked Data: Evolving the Web into a Global Data Space
This book provides readers with a detailed technical introduction to Linked Data. It begins by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture.
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Foundations of Fuzzy Logic and Semantic Web Languages
This book provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic Web languages. The book focuses on the three main streams of Semantic Web languages.
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Mathematical Aspects of Logic Programming Semantics
This book discusses applications of Logic Programming to computational logic and potential applications to the integration of models of computation, knowledge representation and reasoning, and the Semantic Web.
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Practical Semantic Web and Linked Data Applications
This book is intended to be a practical guide for using RDF data in information processing, linked data, and semantic web applications using both the AllegroGraph product and the Sesame open source project.
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An Introduction to Ontology Engineering (Maria Keet)
This has as main aim to provide the reader with a comprehensive introductory overview of Ontology Engineering. A secondary aim is to provide hands-on experience in ontology development that illustrate the theory.
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A Semantic Web Primer (Grigoris Antoniou, et al.)
Provides a systematic treatment of the different languages (XML, RDF, OWL, and rules) and technologies (explicit metadata, ontologies, and logic and inference) that are central to Semantic Web development as well as such crucial related topics.
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Semantic Web (Gang Wu)
Written by a team of highly experienced Web developers, this book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and services that are available on the Internet.
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Ontologies on the Semantic Web (Catherine Legg)
This book is for who are interested in exploring the technology of Semantic web. It simplifies the tough concepts associated with Semantic web and hence it can be considered as the base to build the knowledge about Web 3.0.
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Data, Syntax and Semantics (J. V. Tucker, et al.)
This book is an introduction to the mathematical theory of programming languages. It is in tended to provide a first course, one that is suitable for all university students of Computer Science to take early in their education.
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