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Automatic Metadata Generation for Geospatial Resource Discovery

Automatic Metadata Generation for Geospatial Resource Discovery

Miguel-Angel Manso-Callejo, Arturo Beltran Fonollosa
Copyright: © 2013 |Pages: 32
ISBN13: 9781466620384|ISBN10: 1466620382|EISBN13: 9781466620391
DOI: 10.4018/978-1-4666-2038-4.ch129
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MLA

Manso-Callejo, Miguel-Angel, and Arturo Beltran Fonollosa. "Automatic Metadata Generation for Geospatial Resource Discovery." Geographic Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 2176-2207. https://doi.org/10.4018/978-1-4666-2038-4.ch129

APA

Manso-Callejo, M. & Fonollosa, A. B. (2013). Automatic Metadata Generation for Geospatial Resource Discovery. In I. Management Association (Ed.), Geographic Information Systems: Concepts, Methodologies, Tools, and Applications (pp. 2176-2207). IGI Global. https://doi.org/10.4018/978-1-4666-2038-4.ch129

Chicago

Manso-Callejo, Miguel-Angel, and Arturo Beltran Fonollosa. "Automatic Metadata Generation for Geospatial Resource Discovery." In Geographic Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 2176-2207. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2038-4.ch129

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Abstract

In the metadata generation context, metadata extraction is the first and most important stage in the production chain and has an enormous complexity due to the huge variety of storage formats for geospatial datasets. In addition, the authors analyze the current situation and importance of metadata in information systems and particularly in SDI. This chapter identifies and justifies the need to automate the metadata generation. In this context, the different metadata points of view according to their functions and interoperability levels are analyzed. Afterwards, different metadata generation methods and workflows, and various metadata generation related tools are reviewed, respectively. Finally, the authors introduce topics related to the automatic metadata generation that have neither been studied in depth nor prototypically implemented as future works.

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