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An Ontology-Based Approach to Support Information Discovery in Spatial Data Infrastructures

An Ontology-Based Approach to Support Information Discovery in Spatial Data Infrastructures

Fabio Gomes de Andrade, Cláudio De Souza Baptista
Copyright: © 2013 |Pages: 19
ISBN13: 9781466621909|ISBN10: 1466621907|EISBN13: 9781466621916
DOI: 10.4018/978-1-4666-2190-9.ch018
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MLA

Gomes de Andrade, Fabio, and Cláudio De Souza Baptista. "An Ontology-Based Approach to Support Information Discovery in Spatial Data Infrastructures." Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences, edited by Claus-Peter Rückemann, IGI Global, 2013, pp. 369-387. https://doi.org/10.4018/978-1-4666-2190-9.ch018

APA

Gomes de Andrade, F. & Baptista, C. D. (2013). An Ontology-Based Approach to Support Information Discovery in Spatial Data Infrastructures. In C. Rückemann (Ed.), Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences (pp. 369-387). IGI Global. https://doi.org/10.4018/978-1-4666-2190-9.ch018

Chicago

Gomes de Andrade, Fabio, and Cláudio De Souza Baptista. "An Ontology-Based Approach to Support Information Discovery in Spatial Data Infrastructures." In Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences, edited by Claus-Peter Rückemann, 369-387. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2190-9.ch018

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Abstract

Currently, spatial data infrastructures (SDIs) are becoming the solution adopted by many organizations to facilitate discovery, access and integration of geographic information produced and provided by different agencies. However, the catalog services currently offered by these infrastructures provide keyword-based queries only. This may result on low recall and precision. Furthermore, these catalogs retrieve information based on the metadata records that describe either a service or a dataset. This feature brings limitations to more specific information discovery, such as those based on feature types and instances. This chapter proposes a solution that aims to overcome these limitations by using multiple ontologies to enhance the description of the information offered by SDIs. The proposed ontologies describe the semantics of several features of a service, enabling information discovery at level of services, feature types, and geographic data.

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