Ontology-based geographic data set integration

Harry T. Uitermark; Peter J.M. Oosterom; Nicolaas J.I. Mars; Martien Molenaar

doi:10.1007/3-540-48344-6_4

Ontology-based geographic data set integration

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

31 Citations (Scopus)

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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.

Original language	English
Title of host publication	Spatio-Temporal Database Management
Subtitle of host publication	International Workshop STDBM’99 Edinburgh, Scotland, September 10–11, 1999. Proceedings
Editors	Michael H. Böhlen, Christian S. Jensen, Michel O. Scholl
Place of Publication	Berlin, Germany
Publisher	Springer
Pages	60-78
ISBN (Electronic)	978-3-540-48344-1
ISBN (Print)	978-3-540-66401-7
DOIs	https://doi.org/10.1007/3-540-48344-6_4
Publication status	Published - 1999
Event	International Workshop on Spatio-Temporal Database Management, STDBM 1999 - Edinburgh, Scotland, United Kingdom Duration: 10 Sept 1999 → 11 Sept 1999

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	1678
ISSN (Print)	0302-9743

Workshop

Workshop	International Workshop on Spatio-Temporal Database Management, STDBM 1999
Abbreviated title	STDBM
Country/Territory	United Kingdom
City	Edinburgh, Scotland
Period	10/09/99 → 11/09/99

Keywords

ADLIB-ART-763
PGM
GIP
Semantic similarity
Object class
Domain ontology
Geographic data
Object instance

Access to Document

10.1007/3-540-48344-6_4

Cite this

Uitermark, H. T., Oosterom, P. J. M., Mars, N. J. I., & Molenaar, M. (1999). Ontology-based geographic data set integration. In M. H. Böhlen, C. S. Jensen, & M. O. Scholl (Eds.), Spatio-Temporal Database Management: International Workshop STDBM’99 Edinburgh, Scotland, September 10–11, 1999. Proceedings (pp. 60-78). (Lecture Notes in Computer Science; Vol. 1678). Springer. https://doi.org/10.1007/3-540-48344-6_4

Uitermark, Harry T. ; Oosterom, Peter J.M. ; Mars, Nicolaas J.I. et al. / Ontology-based geographic data set integration. Spatio-Temporal Database Management: International Workshop STDBM’99 Edinburgh, Scotland, September 10–11, 1999. Proceedings. editor / Michael H. Böhlen ; Christian S. Jensen ; Michel O. Scholl. Berlin, Germany : Springer, 1999. pp. 60-78 (Lecture Notes in Computer Science).

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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.",

keywords = "ADLIB-ART-763, PGM, GIP, Semantic similarity, Object class, Domain ontology, Geographic data, Object instance",

author = "Uitermark, {Harry T.} and Oosterom, {Peter J.M.} and Mars, {Nicolaas J.I.} and Martien Molenaar",

year = "1999",

doi = "10.1007/3-540-48344-6_4",

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Uitermark, HT, Oosterom, PJM, Mars, NJI & Molenaar, M 1999, Ontology-based geographic data set integration. in MH Böhlen, CS Jensen & MO Scholl (eds), Spatio-Temporal Database Management: International Workshop STDBM’99 Edinburgh, Scotland, September 10–11, 1999. Proceedings. Lecture Notes in Computer Science, vol. 1678, Springer, Berlin, Germany, pp. 60-78, International Workshop on Spatio-Temporal Database Management, STDBM 1999, Edinburgh, Scotland, United Kingdom, 10/09/99. https://doi.org/10.1007/3-540-48344-6_4

Ontology-based geographic data set integration. / Uitermark, Harry T.; Oosterom, Peter J.M.; Mars, Nicolaas J.I. et al.
Spatio-Temporal Database Management: International Workshop STDBM’99 Edinburgh, Scotland, September 10–11, 1999. Proceedings. ed. / Michael H. Böhlen; Christian S. Jensen; Michel O. Scholl. Berlin, Germany: Springer, 1999. p. 60-78 (Lecture Notes in Computer Science; Vol. 1678).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Mars, Nicolaas J.I.

AU - Molenaar, Martien

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N2 - 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.

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.

KW - ADLIB-ART-763

KW - PGM

KW - GIP

KW - Semantic similarity

KW - Object class

KW - Domain ontology

KW - Geographic data

KW - Object instance

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SP - 60

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BT - Spatio-Temporal Database Management

A2 - Böhlen, Michael H.

A2 - Jensen, Christian S.

A2 - Scholl, Michel O.

PB - Springer

CY - Berlin, Germany

T2 - International Workshop on Spatio-Temporal Database Management, STDBM 1999

Y2 - 10 September 1999 through 11 September 1999

ER -

Uitermark HT, Oosterom PJM, Mars NJI, Molenaar M. Ontology-based geographic data set integration. In Böhlen MH, Jensen CS, Scholl MO, editors, Spatio-Temporal Database Management: International Workshop STDBM’99 Edinburgh, Scotland, September 10–11, 1999. Proceedings. Berlin, Germany: Springer. 1999. p. 60-78. (Lecture Notes in Computer Science). doi: 10.1007/3-540-48344-6_4

Ontology-based geographic data set integration

Abstract

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Keywords

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