Authors:
Jean-Pierre Müller
1
;
Hasina Lalaina Rakotonirainy
2
and
Dominique Hervé
2
Affiliations:
1
GREEN and CIRAD, France
;
2
University of Fianarantsoa, Madagascar
Keyword(s):
Ontology, Metrology, Geographic representation, Knowledge representation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Domain Analysis and Modeling
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
The classical ontologies are based on description logics. Most of the proposed variants fit within the logical framework, with the exception of the introduction of data types. This later extension is suitable for computer scientists but not appropriate for scientists in general. Indeed, most scientists use quantities with full unit systems as defined in metrology. More specifically, the geomaticians use, in addition to attributed or relational structures, what they call coverages, i.e. mappings from coordinates into data. Separate efforts have been made to formalize these aspects but none coped with all of them in an integrated knowledge representation framework. The aim of this paper is to propose description logic extensions able to integrate these various aspects into the general framework of knowledge representation, as a way to talk about matter and space.