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Article: Retrieval of Heterogeneous Geographical Information Using Concept Brokering and Upper Level Ontology

TitleRetrieval of Heterogeneous Geographical Information Using Concept Brokering and Upper Level Ontology
Authors
Issue Date2004
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, v. 3289, p. 172-183 How to Cite?
AbstractDifferent concept and attribute definitions for geographical features underlying information systems make it difficult to share geographical information. This paper provides concept brokering methods based on upper level ontology for retrieval of heterogeneous geographical information. The methods include design of upper level ontology using Concept Lattices. The user ontology is associated with domain ontology through upper level ontology by concept brokering rules. An example for the upper level ontology of transportation is given to illustrate the concept brokering methods. © Springer-Verlag 2004.
Persistent Identifierhttp://hdl.handle.net/10722/330096
ISSN
2023 SCImago Journal Rankings: 0.606

 

DC FieldValueLanguage
dc.contributor.authorYi, Shanzhen-
dc.contributor.authorHuang, Bo-
dc.contributor.authorChan, Weng Tat-
dc.date.accessioned2023-08-09T03:37:45Z-
dc.date.available2023-08-09T03:37:45Z-
dc.date.issued2004-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, v. 3289, p. 172-183-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/330096-
dc.description.abstractDifferent concept and attribute definitions for geographical features underlying information systems make it difficult to share geographical information. This paper provides concept brokering methods based on upper level ontology for retrieval of heterogeneous geographical information. The methods include design of upper level ontology using Concept Lattices. The user ontology is associated with domain ontology through upper level ontology by concept brokering rules. An example for the upper level ontology of transportation is given to illustrate the concept brokering methods. © Springer-Verlag 2004.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleRetrieval of Heterogeneous Geographical Information Using Concept Brokering and Upper Level Ontology-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-540-30466-1_16-
dc.identifier.scopuseid_2-s2.0-35048826816-
dc.identifier.volume3289-
dc.identifier.spage172-
dc.identifier.epage183-
dc.identifier.eissn1611-3349-

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