Semantic granularity in ontology-driven geographic information systems

Frederico Fonseca, Max Egenhofer, Clodoveu Davis, Gilberto Câmara

Research output: Contribution to journalArticlepeer-review

143 Scopus citations

Abstract

The integration of information of different kinds, such as spatial and alphanumeric at different levels of detail, is a challenge. While a solution is not reached, it is widely recognized that the need to integrate information is so pressing that it does not matter if detail is lost, as long as integration is achieved. This paper shows the potential for information retrieval at different levels of granularity inside the framework of information systems based on ontologies. Ontologies are theories that use a specific vocabulary to describe entities, classes, properties and functions related to a certain view of the world. The use of an ontology, translated into an active information system component, leads to ontology-driven information systems and, in the specific case of GIS, leads to what we call ontology-driven geographic information systems.

Original languageEnglish (US)
Pages (from-to)121-151
Number of pages31
JournalAnnals of Mathematics and Artificial Intelligence
Volume36
Issue number1-2
DOIs
StatePublished - 2002

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Applied Mathematics

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