Name
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1023/A:1015808104769 | Ann. Math. Artif. Intell. |
Keywords | Field | DocType |
Ontology,information integration,granularity,GIS,spatial information,semantics | Information system,Ontology (information science),Information integration,Cognitive models of information retrieval,Information retrieval,Computer science,Local information systems,Enterprise GIS,Information filtering system,Information quality | Journal |
Volume | Issue | ISSN |
36 | 1-2 | 1573-7470 |
Citations | PageRank | References |
71 | 3.31 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frederico Fonseca | 1 | 218 | 11.13 |
| Max J. Egenhofer | 2 | 4293 | 503.82 |
| Clodoveu A. Davis | 3 | 227 | 20.16 |
| Gilberto Câmara | 4 | 691 | 69.10 |