Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies

Nowadays, spatial information is not only used by professionals, but also by common citizens, who uses it for their daily activities. Open Data initiative states that data should be freely and unreservedly available for all users. It also applies to spatial data. As spatial data becomes widely avail...

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Main Authors: M. Strzelecki, A. Iwaniak, J. Łukowicz, I. Kaczmarek
Format: Article
Language:English
Published: Copernicus Publications 2013-10-01
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-7-W2/231/2013/isprsarchives-XL-7-W2-231-2013.pdf
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spelling doaj-ce2d31da1a1d427b8e1b0f873d71f5602020-11-25T00:40:19ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-10-01XL-7/W223123610.5194/isprsarchives-XL-7-W2-231-2013Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologiesM. Strzelecki0A. Iwaniak1J. Łukowicz2I. Kaczmarek3Wrocław University of Environmental and Life Sciences, Wrocław, PolandWrocław University of Environmental and Life Sciences, Wrocław, PolandWrocław University of Environmental and Life Sciences, Wrocław, PolandWrocław University of Environmental and Life Sciences, Wrocław, PolandNowadays, spatial information is not only used by professionals, but also by common citizens, who uses it for their daily activities. Open Data initiative states that data should be freely and unreservedly available for all users. It also applies to spatial data. As spatial data becomes widely available it is essential to publish it in form which guarantees the possibility of integrating it with other, heterogeneous data sources. Interoperability is the possibility to combine spatial data sets from different sources in a consistent way as well as providing access to it. Providing syntactic interoperability based on well-known data formats is relatively simple, unlike providing semantic interoperability, due to the multiple possible data interpretation. One of the issues connected with the problem of achieving interoperability is data harmonization. It is a process of providing access to spatial data in a representation that allows combining it with other harmonized data in a coherent way by using a common set of data product specification. Spatial data harmonization is performed by creating definition of reclassification and transformation rules (mapping schema) for source application schema. Creation of those rules is a very demanding task which requires wide domain knowledge and a detailed look into application schemas. The paper focuses on proposing methods for supporting data harmonization process, by automated or supervised creation of mapping schemas with the use of ontologies, ontology matching methods and Semantic Web technologies.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W2/231/2013/isprsarchives-XL-7-W2-231-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Strzelecki
A. Iwaniak
J. Łukowicz
I. Kaczmarek
spellingShingle M. Strzelecki
A. Iwaniak
J. Łukowicz
I. Kaczmarek
Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet M. Strzelecki
A. Iwaniak
J. Łukowicz
I. Kaczmarek
author_sort M. Strzelecki
title Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies
title_short Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies
title_full Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies
title_fullStr Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies
title_full_unstemmed Supporting spatial data harmonization process with the use of ontologies and Semantic Web technologies
title_sort supporting spatial data harmonization process with the use of ontologies and semantic web technologies
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2013-10-01
description Nowadays, spatial information is not only used by professionals, but also by common citizens, who uses it for their daily activities. Open Data initiative states that data should be freely and unreservedly available for all users. It also applies to spatial data. As spatial data becomes widely available it is essential to publish it in form which guarantees the possibility of integrating it with other, heterogeneous data sources. Interoperability is the possibility to combine spatial data sets from different sources in a consistent way as well as providing access to it. Providing syntactic interoperability based on well-known data formats is relatively simple, unlike providing semantic interoperability, due to the multiple possible data interpretation. One of the issues connected with the problem of achieving interoperability is data harmonization. It is a process of providing access to spatial data in a representation that allows combining it with other harmonized data in a coherent way by using a common set of data product specification. Spatial data harmonization is performed by creating definition of reclassification and transformation rules (mapping schema) for source application schema. Creation of those rules is a very demanding task which requires wide domain knowledge and a detailed look into application schemas. The paper focuses on proposing methods for supporting data harmonization process, by automated or supervised creation of mapping schemas with the use of ontologies, ontology matching methods and Semantic Web technologies.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W2/231/2013/isprsarchives-XL-7-W2-231-2013.pdf
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