Geographic Information Metadata for Spatial Data Infrastructures : Resources, Interoperability and Information Retrieval /
By: Nogueras-Iso, Javier [author.].
Contributor(s): Zarazaga-Soria, F. Javier [author.] | Muro-Medrano, Pedro R [author.] | SpringerLink (Online service).
Material type: BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: XXI, 263 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540275084.Subject(s): Geography | Earth sciences | Data structures (Computer science) | Computers | Geographical information systems | Geography | Geographical Information Systems/Cartography | Earth Sciences, general | Data Structures, Cryptology and Information Theory | Information Systems and Communication ServiceDDC classification: 910.285 Online resources: Click here to access onlineItem type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books | PK Kelkar Library, IIT Kanpur | Available | EBK4693 |
Spatial Data Infrastructures and related concepts -- A metadata infrastructure for the management of nested collections -- Interoperability between metadata standards -- The use of disambiguated thesauri to improve information retrieval -- Integrating the concepts within the components of a Spatial Data Infrastructure -- Conclusions and future work.
Metadata play a fundamental role in both DLs and SDIs. Commonly defined as "structured data about data" or "data which describe attributes of a resource" or, more simply, "information about data", it is an essential requirement for locating and evaluating available data. Therefore, this book focuses on the study of different metadata aspects, which contribute to a more efficient use of DLs and SDIs. The three main issues addressed are: the management of nested collections of resources, the interoperability between metadata schemas, and the integration of information retrieval techniques to the discovery services of geographic data catalogs (contributing in this way to avoid metadata content heterogeneity).
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