2014/01/26 by Robert Jeansoulin, Jeansoulin, Robert, Nic Wilson +1
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Data Management and Algorithms #FOS: Computer and information sciences #Geographic Information Systems Studies #Human-Computer Interaction (cs.HC) #I.2.1 #Semantic Web and Ontologies #cs.AI #cs.HC
paper · pdf · doi:10.48550/arxiv.1401.6679
12 pages, 8th EC-GIS Workshop (European Commission), Dublin, Ireland, July, 3-5, 2002
arxiv created 2014/01/26 · openalex publication_date 2014/01/26 · arxiv updated 2015/01/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The objective is to present one important aspect of the European IST-FET project "REV!GIS"1: the methodology which has been developed for the translation (interpretation) of the quality of the data into a "fitness for use" information, that we can confront to the user needs in its application. This methodology is based upon the notion of "ontologies" as a conceptual framework able to capture the explicit and implicit knowledge involved in the application. We do not address the general problem of formalizing such ontologies, instead, we rather try to illustrate this with three applications which are particular cases of the more general "data fusion" problem. In each application, we show how to deploy our methodology, by comparing several possible solutions, and we try to enlighten where are the quality issues, and what kind of solution to privilege, even at the expense of a highly complex computational approach. The expectation of the REV!GIS project is that computationally tractable solutions will be available among the next generation AI tools.