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An applied ontology: A semantic query builder for health GIS system

Authors: Theeradol Boonprapasri; Gridaphat Sriharee;

An applied ontology: A semantic query builder for health GIS system

Abstract

GIS information is important for e-Health surveillance because such information is required for monitoring, exchanging and shared across health GIS systems. However, interacting with the health GIS system is difficult for the users who may have less knowledge about GIS systems. This paper proposes a semantic query builder that provides a query service and can interact with health GIS systems. The semantic query builder receives the semantic query and translates such queries into a SQL query to allow querying information from databases stored in the health GIS system. It delivers GIS tuple data — the data from the map service is provided by the health GIS system. With the proposed semantic query builder, the users who may have less knowledge of SQL and GIS system are able to specify the query flexibly which meets their requirement.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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