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Enhancing the access to public procurement notices by promoting product scheme classifications to the linked Open Data Initiative

Author:
Álvarez Rodríguez, José MaríaUniovi authority; Polo Paredes, Luis; Rubiera Azcona, Emilio; Rodríguez González, AlejandroUniovi authority; Labra Gayo, José EmilioUniovi authority; Ordóñez de Pablos, PatriciaUniovi authority
Subject:

Linked Data

Semantic Web

E-Procurement

Open Data

Publication date:
2013
Editorial:

IGI Global

Publisher version:
http://dx.doi.org/10.4018/978-1-4666-2827-4.ch001
Citación:
Cases on Open-Linked Data and Semantic Web Applications. IGI Global, 2013. p. 1-27
Serie:

Cases on Open-Linked Data and Semantic Web Applications;1

Descripción física:
p. 1-27
Abstract:

This chapter introduces the promotion of existing product scheme classifications to the Linked Open Data initiative in the context of the European Union and other official organizations such as United Nations. A common data model and an enclosed conversion method based on Semantic Web vocabularies such as SKOS are also presented to encode data and information following the W3C standards RDF and OWL. This work is applied to the e-procurement sector, more specifically, to enhance the access to the public procurement notices published in the European Union. Finally, an evaluation of the gain, in terms of expressivity, is reported with the objective of demonstrating the advantages of applying Linked Data to retrieve information resources.

This chapter introduces the promotion of existing product scheme classifications to the Linked Open Data initiative in the context of the European Union and other official organizations such as United Nations. A common data model and an enclosed conversion method based on Semantic Web vocabularies such as SKOS are also presented to encode data and information following the W3C standards RDF and OWL. This work is applied to the e-procurement sector, more specifically, to enhance the access to the public procurement notices published in the European Union. Finally, an evaluation of the gain, in terms of expressivity, is reported with the objective of demonstrating the advantages of applying Linked Data to retrieve information resources.

URI:
http://hdl.handle.net/10651/18316
ISBN:
9781466628274; 1466628278
DOI:
10.4018/978-1-4666-2827-4.ch001
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