Article ID: | iaor20012834 |
Country: | United Kingdom |
Volume: | 8C |
Issue: | 1/6 |
Start Page Number: | 109 |
End Page Number: | 127 |
Publication Date: | Feb 2000 |
Journal: | Transportation Research. Part C, Emerging Technologies |
Authors: | Mainguenaud Michel |
Keywords: | artificial intelligence: decision support |
An end-user query of a Geographical Information System (GIS) can formally be defined as the application of a set of operators (spatial or not). Geographical Information Systems used for Transportation (GIS-T) must provide a path evaluation operator. For example, an end-user query may involve a selection based on alphanumeric criteria, an evaluation of path, and a spatial intersection. This composition of operators and the fact that the evaluation of a path may not provide a unique result impose the definition of a query resolution model or a database query language able to support this composition. In this paper we present a query resolution model. The use of multi-criteria analysis and the definition of aggregates in a query (nearly mandatory) may involve ambiguities in the final presentation of the results to an end-user. The formal modeling of query results must take into account this risk. The philosophies of a query definition and the presentation of the results may be different (e.g. formular vs visual). The management of query results must take into account the data model associated with the query results, the results themselves (metabase/database), and the interpretation. The interpretation avoids errors due to visual ambiguities of an operator with an aggregate function.