Ontology-based geographic data set integration

H.T.J.A. Uitermark, Harry T. Uitermark, Peter J.M. Oosterom, Nicolaas Mars, Martien Molenaar, M. Molenaar

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

22 Citations (Scopus)

Abstract

In order to develop a system to propagate updates we investigate the semantic and spatial relationships between independently produced geographic data sets of the same region (data set integration). The goal of this system is to reduce operator intervention in update operations between corresponding (semantically similar) geographic object instances. Crucial for this reduction is certainty about the semantic similarity of different object representations. In this paper we explore a framework for ontology-based geographic data set integration, an ontology being a collection of shared concepts. Components of this formal approach are an ontology for topographic mapping (a domain ontology), an ontology for every geographic data set involved (the application ontologies), and abstraction rules (or capture criteria). Abstraction rules define at the class level the relationships between domain ontology and application ontology. Using these relationships, it is possible to locate semantic similarity at the object instance level with methods from computational geometry (like overlay operations). The components of the framework are formalized in the Prolog language, illustrated with a fictitious example, and tested on a practical example.
Original languageUndefined
Title of host publicationProceedings International workshop on Spatio-temporal database management STDBM'99, Lecture Notes in Computer Science, Vol. 1678, Springer Verlag, Berlin
Place of PublicationEdinburgh, Scotland
Pages60-78
DOIs
Publication statusPublished - 4 Feb 1999

Publication series

NameLecture Notes in Computer Science 1678

Keywords

  • METIS-119709
  • IR-59856

Cite this

Uitermark, H. T. J. A., Uitermark, H. T., Oosterom, P. J. M., Mars, N., Molenaar, M., & Molenaar, M. (1999). Ontology-based geographic data set integration. In Proceedings International workshop on Spatio-temporal database management STDBM'99, Lecture Notes in Computer Science, Vol. 1678, Springer Verlag, Berlin (pp. 60-78). (Lecture Notes in Computer Science 1678). Edinburgh, Scotland. https://doi.org/10.1007/3-540-48344-6_4
Uitermark, H.T.J.A. ; Uitermark, Harry T. ; Oosterom, Peter J.M. ; Mars, Nicolaas ; Molenaar, Martien ; Molenaar, M. / Ontology-based geographic data set integration. Proceedings International workshop on Spatio-temporal database management STDBM'99, Lecture Notes in Computer Science, Vol. 1678, Springer Verlag, Berlin. Edinburgh, Scotland, 1999. pp. 60-78 (Lecture Notes in Computer Science 1678).
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abstract = "In order to develop a system to propagate updates we investigate the semantic and spatial relationships between independently produced geographic data sets of the same region (data set integration). The goal of this system is to reduce operator intervention in update operations between corresponding (semantically similar) geographic object instances. Crucial for this reduction is certainty about the semantic similarity of different object representations. In this paper we explore a framework for ontology-based geographic data set integration, an ontology being a collection of shared concepts. Components of this formal approach are an ontology for topographic mapping (a domain ontology), an ontology for every geographic data set involved (the application ontologies), and abstraction rules (or capture criteria). Abstraction rules define at the class level the relationships between domain ontology and application ontology. Using these relationships, it is possible to locate semantic similarity at the object instance level with methods from computational geometry (like overlay operations). The components of the framework are formalized in the Prolog language, illustrated with a fictitious example, and tested on a practical example.",
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Uitermark, HTJA, Uitermark, HT, Oosterom, PJM, Mars, N, Molenaar, M & Molenaar, M 1999, Ontology-based geographic data set integration. in Proceedings International workshop on Spatio-temporal database management STDBM'99, Lecture Notes in Computer Science, Vol. 1678, Springer Verlag, Berlin. Lecture Notes in Computer Science 1678, Edinburgh, Scotland, pp. 60-78. https://doi.org/10.1007/3-540-48344-6_4

Ontology-based geographic data set integration. / Uitermark, H.T.J.A.; Uitermark, Harry T.; Oosterom, Peter J.M.; Mars, Nicolaas; Molenaar, Martien; Molenaar, M.

Proceedings International workshop on Spatio-temporal database management STDBM'99, Lecture Notes in Computer Science, Vol. 1678, Springer Verlag, Berlin. Edinburgh, Scotland, 1999. p. 60-78 (Lecture Notes in Computer Science 1678).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - In order to develop a system to propagate updates we investigate the semantic and spatial relationships between independently produced geographic data sets of the same region (data set integration). The goal of this system is to reduce operator intervention in update operations between corresponding (semantically similar) geographic object instances. Crucial for this reduction is certainty about the semantic similarity of different object representations. In this paper we explore a framework for ontology-based geographic data set integration, an ontology being a collection of shared concepts. Components of this formal approach are an ontology for topographic mapping (a domain ontology), an ontology for every geographic data set involved (the application ontologies), and abstraction rules (or capture criteria). Abstraction rules define at the class level the relationships between domain ontology and application ontology. Using these relationships, it is possible to locate semantic similarity at the object instance level with methods from computational geometry (like overlay operations). The components of the framework are formalized in the Prolog language, illustrated with a fictitious example, and tested on a practical example.

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Uitermark HTJA, Uitermark HT, Oosterom PJM, Mars N, Molenaar M, Molenaar M. Ontology-based geographic data set integration. In Proceedings International workshop on Spatio-temporal database management STDBM'99, Lecture Notes in Computer Science, Vol. 1678, Springer Verlag, Berlin. Edinburgh, Scotland. 1999. p. 60-78. (Lecture Notes in Computer Science 1678). https://doi.org/10.1007/3-540-48344-6_4