Catherine dolbear (20 résultats)

Hardcover. Etat : ex library-very good +. xx, 269 p. 24 cm. Ex librry with label on front, ink stamp on title. How to publish and integrate geographic information using Semantic Web technologies.

Hardcover. Etat : Fine. 2013, hardback in printed board covers, 269 pages | this copy is unread and barely distinguishable from new | professional booksellers based in the UK | we package with great care and usually dispatch within 24hrs, always within two working days | please request scans or further information on any of our listings, which are all in stock and ready to be dispatched.…

Paperback. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Kartoniert / Broschiert. Etat : New.

Paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Hardcover. Etat : Brand New. 1st edition. 289 pages. 9.75x6.50x0.75 inches. In Stock.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 t.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 DataAfter 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 LaypersonsA 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.…