SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH

In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process r...

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Main Authors: S. Hasani, A. Sadeghi-Niaraki, M. Jelokhani-Niaraki
Format: Article
Language:English
Published: Copernicus Publications 2015-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/293/2015/isprsarchives-XL-1-W5-293-2015.pdf
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spelling doaj-93110b4ab88047c4b73924c1946ab71c2020-11-25T00:17:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-12-01XL-1-W529329610.5194/isprsarchives-XL-1-W5-293-2015SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACHS. Hasani0A. Sadeghi-Niaraki1M. Jelokhani-Niaraki2Department of GIS, Faculty of Geodesy and Geomatics Engineering, K.N.Toosi University of Technology, Tehran, IranDepartment of GIS, Faculty of Geodesy and Geomatics Engineering, K.N.Toosi University of Technology, Tehran, IranDepartment of GIS & RS, Faculty of Geography, University of Tehran, Tehran, IranIn today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we introduce an ontology-based method to provide sharing and integration capabilities for the existing databases. In addition to resolving semantic heterogeneity, better access to information is also provided by our proposed method. Our approach is consisted of three steps, the first step is identification of the object in a relational database, then the semantic relationships between them are modelled and subsequently, the ontology of each database is created. In a second step, the relative ontology will be inserted into the database and the relationship of each class of ontology will be inserted into the new created column in database tables. Last step is consisted of a platform based on service-oriented architecture, which allows integration of data. This is done by using the concept of ontology mapping. The proposed approach, in addition to being fast and low cost, makes the process of data integration easy and the data remains unchanged and thus takes advantage of the legacy application provided.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/293/2015/isprsarchives-XL-1-W5-293-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Hasani
A. Sadeghi-Niaraki
M. Jelokhani-Niaraki
spellingShingle S. Hasani
A. Sadeghi-Niaraki
M. Jelokhani-Niaraki
SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet S. Hasani
A. Sadeghi-Niaraki
M. Jelokhani-Niaraki
author_sort S. Hasani
title SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH
title_short SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH
title_full SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH
title_fullStr SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH
title_full_unstemmed SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH
title_sort spatial data integration using ontology-based approach
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2015-12-01
description In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we introduce an ontology-based method to provide sharing and integration capabilities for the existing databases. In addition to resolving semantic heterogeneity, better access to information is also provided by our proposed method. Our approach is consisted of three steps, the first step is identification of the object in a relational database, then the semantic relationships between them are modelled and subsequently, the ontology of each database is created. In a second step, the relative ontology will be inserted into the database and the relationship of each class of ontology will be inserted into the new created column in database tables. Last step is consisted of a platform based on service-oriented architecture, which allows integration of data. This is done by using the concept of ontology mapping. The proposed approach, in addition to being fast and low cost, makes the process of data integration easy and the data remains unchanged and thus takes advantage of the legacy application provided.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/293/2015/isprsarchives-XL-1-W5-293-2015.pdf
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