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An Evaluation of Semantically Enriched Spatial Data Infrastructure

Authors:
Hamon Henriques
Fabio Andrade
Cláudio Baptista

Keywords: spatial data infrastructure; catalog service; spatial database; GIS

Abstract:
Spatial Data Infrastructures (SDI) have become an important solution for easing the interoperability of geographic data offered by different organizations. An important challenge that must be overcome by such infrastructures consists in allowing their users to easily locating the available data. Presently, this task is implemented by means of catalog services, which still have important limitations that prevent effective data retrieval. Due to those limitations, many research works have been developed to improve information retrieval in SDIs. One of such works is Semantically Enabled Spatial Data Infrastructures (SESDI), which is a framework that uses a model-based on information at feature type level and ontologies. The first results obtained during the experimental evaluation of SESDI showed that it improved the quality of several kinds of queries concerning geographic data. Nevertheless, a deeper evaluation, besides the comparison to catalog services provided by other infrastructures, was still necessary. Aiming at meeting this need, this paper describes an experiment carried out in order to deepen that evaluation. In this experiment, the performance of SESDI was compared with catalog services offered by other two infrastructures. The results obtained from the new experiments showed the viability of the solution used to implement the framework.

Pages: 115 to 121

Copyright: Copyright (c) IARIA, 2014

Publication date: March 23, 2014

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-326-1

Location: Barcelona, Spain

Dates: from March 23, 2014 to March 27, 2014