Ontology-Based Geographic Data Set Integration

Uitermark, H.T.; Oosterom, Peter van; Mars, Nicolaas; Molenaar, M.

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

Cited by 52 publications

(29 citation statements)

References 20 publications

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“…A fourth research direction is to combine our approach with other approaches, such as the featurebased approach of [13], topological similarity (e.g., [3]) or ontologies (e.g., [7,8,16]). …”

Section: Discussionmentioning

confidence: 99%

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Object Fusion in Geographic Information Systems

BEERI

KANZA

SAFRA

et al. 2004

Proceedings 2004 VLDB Conference

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Given two geographic databases, a fusion algorithm should produce all pairs of corresponding objects (i.e., objects that represent the same real-world entity). Four fusion algorithms, which only use locations of objects, are described and their performance is measured in terms of recall and precision. These algorithms are designed to work even when locations are imprecise and each database represents only some of the real-world entities. Results of extensive experimentation are presented and discussed. The tests show that the performance depends on the density of the data sources and the degree of overlap among them. All four algorithms are much better than the current state of the art (i.e., the onesided nearest-neighbor join). One of these four algorithms is best in all cases, at a cost of a small increase in the running time compared to the other algorithms.

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Section: Discussionmentioning

confidence: 99%

“…In [3], topological similarity is used to find corresponding objects, while in [7,8,16] ontologies are used for that purpose.…”

Section: Related Workmentioning

confidence: 99%

Object Fusion in Geographic Information Systems

BEERI

KANZA

SAFRA

et al. 2004

Proceedings 2004 VLDB Conference

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“…But is not useful for our case where we need to deal with already existing datasets that have not been created following a domain ontology. Uitermark [13] proposes a solution for integrating two datasets of the Netherlands with different scales and ontologies. His domain ontology also contains the terms of a concrete discipline, topographic maps in his case; and he also uses surveying rules in the process, those used to define how the terrain is transformed to a specific geographic dataset.…”

Section: Ontologies For Gimentioning

confidence: 99%

Semantic interoperability of field-based thematic geographic information

Navarrete

Blat

Ruiz³

2004

Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.

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“…Ils mettent en avant la nécessité de ces ontologies (Uitermark, 2001), mais peu d'ontologies ont été réalisées en pratique (Laurens, 2006) ou alors celles-ci décrivent des domaines ciblés, comme Towntology dans le domaine de l'aménagement et de l'urbanisme (Roussey et al, 2004) ou FoDoMuSt dans le domaine du traitement d'images (Brisson et al, 2007).…”

Section: Introductionunclassified