Linked Data A Geographic Perspective
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 so
A Gentle Beginning. Linked Data and the Semantic Web. Geographic Information. Geographic Information in an Open World. The Resource Description Framework. Organizing GI as Linked Data. Publishing Linked Data. Using Linked Data. OWL. Building Geographic Ontologies. Linking It All Together. References. Appendices. Index.
"Anybody interested in how geographical information can be used to combine and access datasets and information in the Web should read this book. This text introduces developments in the Semantic Web and Linked Data, and offers guidance on how to implement Geographic Information as Linked Data. … The reader does not need to be an expert in the Semantic Web, Linked Data, or Geographic Information to follow this text. Terms and concepts are explained in relatively easy-to-follow language, and the material is presented in a logically structured sequence. … Glen Hart and Catherine Dolbear deserve to be complimented on how they have approached this subject matter and for their ability to present the material in an engaging style that is reasonably straightforward to follow. Anybody who needs to understand how to work with Geographic Information should think of this book as mandatory reading."
—Peter Keller, GEOMATICA, Vol. 67, No. 4, 2013
"It is unusual to enthuse over a book on such a technical topic, but this volume is a gem. ... It fully meets [the authors’] objective of being a practical guide to implementing solutions based on Linked Data and the Semantic Web that involve Geographic Information. The practical experience of the authors shines through and the text is complete and precise enough to allow little scope for argument over academic detail. But my greatest praise is for its readability. To produce a book that is such a pleasure to read on ... such a technical topic is an outstanding achievement. ... [Hart and Dolbear] have a rare talent for making complex concepts clear and the potentially dull sparkle."
—Mike Jackson, Ph.D., FRICS, FRGS, Emeritus Professor for Geospatial Science, Nottingham Geospatial Institute, The University of Nottingham, UK