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OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment

OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment

Marek Smid
Copyright: © 2019 |Volume: 15 |Issue: 1 |Pages: 20
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522564447|DOI: 10.4018/IJSWIS.2019010101
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MLA

Smid, Marek. "OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment." IJSWIS vol.15, no.1 2019: pp.1-20. https://doi.org/10.4018/IJSWIS.2019010101

APA

Smid, M. (2019). OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment. International Journal on Semantic Web and Information Systems (IJSWIS), 15(1), 1-20. https://doi.org/10.4018/IJSWIS.2019010101

Chicago

Smid, Marek. "OnGIS: Geospatial Data Integration Using Semantic Technologies and Query Containment," International Journal on Semantic Web and Information Systems (IJSWIS) 15, no.1: 1-20. https://doi.org/10.4018/IJSWIS.2019010101

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Abstract

Geospatial data sources are heterogeneous and backed by different data management technologies. This brings problems in data integration as well as their subsequent interpretation. This article proposes a technique for choosing the relevant data source out of many such sources, given a complex spatial query. Each source is described with a set of prototypical queries that are algorithmically arranged into a lattice. Upon query execution, the lattice is searched for an element matching best the input query. The matching algorithm makes use of the GeoSPARQL query containment enhanced with OWL 2 QL semantics. The technique is implemented in a prototypical system called OnGIS.

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