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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-10-01
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| 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 |
| Summary: | 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. |
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| ISSN: | 1682-1750 2194-9034 |