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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Distributed Geospatial Data Management for Entomological and Epidemiological Studies

Distributed Geospatial Data Management for Entomological and Epidemiological Studies
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Author(s): Hugo Martins (Universidade Nova de Lisboa, Portugal & Universidade Técnica de Lisboa, Portugal)and Jorge G. Rocha (Universidade do Minho, Portugal)
Copyright: 2013
Pages: 21
Source title: Geographic Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-2038-4.ch106

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Abstract

Since the authors were able to design all the supporting software, all syntactical interoperability was guaranteed by the use of Open Geospatial Consortium (OGC) standards. The semantic interoperability was assured by design, by developing a unique data model. Data invariants are guaranteed either by the interface, with validation routines written in Javascript, or by the data constrains included in the database. Integration and interoperability with other BT programs might require some additional effort, but all the necessary semantic translation could be encapsulated into the WFS component.

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