Linked data : a geographic perspective
- Glen Hart, Catherine Dolbear.
- Boca Raton : CRC Press, c2013.
- Physical description
- xx, 269 p. : ill. ; 24 cm.
Earth Sciences Library (Branner)
|G70.2 .H37 2013||Unknown|
- Includes bibliographical references (p. 235-239) and index.
- A Gentle Beginning What This Book Is About and Who It Is For Geography and the Semantic Web GI in the Semantic Web Examples Conventions Used in the Book Structure of the Book A Last Thought about How to Read This Book Linked Data and the Semantic Web Introduction From a Web of Documents to a Web of Knowledge Early History and the Development of the Semantic Web Semantic Web Benefits How It Works Recent Trends in the Field Summing Up and Signposts to the Next Chapter Notes Geographic Information Introduction What Is Geographic Information? The Many Forms of GI Representations and Uses of GI A Brief History of Geographic Information Summary Notes Geographic Information in an Open World Introduction Principles Applying the Semantic Web to GI Important Observations Summary Notes The Resource Description Framework Introduction RDF: The Purpose A Word about Identity The RDF Data Model RDF Serialization RDFS Popular RDFS Vocabularies RDF for the Thinking Geographer Summary Notes Organizing GI as Linked Data Introduction Identity: Designing and Applying Universal Resource Identifiers Identity: Names Geometry Classification Topology and Mereology Summary Notes Publishing Linked Data Introduction Linked Data Principles Making URIs Dereferenceable or Slash versus Hash Linked Data Design Linked Data Generation Describing the Linked Dataset Provenance Authentication and Trust Licensing Linked Data Software Tools Testing and Debugging Linked Data Summary Notes Using Linked Data Introduction Business Models for Linked Data SPARQL Linking to External Datasets: Types of Link Link Design Process Link Discovery and Creation Encoding Context: An Atheist's View of Web Identity Link Maintenance Evaluating Link Quality and Avoiding Semantic Spam Summary Notes OWL Introduction The Nature of OWL OWL Language Elements Properties Tools for Authoring Summary Notes Building Geographic Ontologies Introduction Types of Ontology Methodologies Building the Topographic Ontology of Merea Maps Ontology Reuse: Aiding Third-Party Data Integration Summary Notes Linking It All Together Introduction The Wide Scope of Geographic Information An Open World The Simplicity and Complexity of the Semantic Web The Technologies Benefits and Business Models Future Directions Concluding Thoughts Note References Appendix A: OWL Species Appendix B: OWL Constructs: Manchester Syntax and Rabbit Index.
- (source: Nielsen Book Data)
- Publisher's Summary
- Geographic Information has an important role to play in linking and combining datasets through shared location, but the potential is still far from fully realized because the data is not well organized and the technology to aid this process has not been available. Developments in the Semantic Web and Linked Data, however, are making it possible to integrate data based on Geographic Information in a way that is more accessible to users. Drawing on the industry experience of a geographer and a computer scientist, Linked Data: A Geographic Perspective is a practical guide to implementing Geographic Information as Linked Data. Combine Geographic Information from Multiple Sources Using Linked Data After an introduction to the building blocks of Geographic Information, the Semantic Web, and Linked Data, the book explores how Geographic Information can become part of the Semantic Web as Linked Data. In easy-to-understand terms, the authors explain the complexities of modeling Geographic Information using Semantic Web technologies and publishing it as Linked Data. They review the software tools currently available for publishing and modeling Linked Data and provide a framework to help you evaluate new tools in a rapidly developing market. They also give an overview of the important languages and syntaxes you will need to master. Throughout, extensive examples demonstrate why and how you can use ontologies and Linked Data to manipulate and integrate real-world Geographic Information data from multiple sources. A Practical, Readable Guide for Geographers, Software Engineers, and Laypersons A coherent, readable introduction to a complex subject, this book supplies the durable knowledge and insight you need to think about Geographic Information through the lens of the Semantic Web. It provides a window to Linked Data for geographers, as well as a geographic perspective for software engineers who need to understand how to work with Geographic Information. Highlighting best practices, this book helps you organize and publish Geographic Information on the Semantic Web with more confidence.
(source: Nielsen Book Data)
- Publication date
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