Poss-OWL 2: Possibilistic Extension of OWL 2 for an Uncertain Geographic Ontology
Author(s) -
Safia Bal-Bourai,
Aïcha Mokhtari
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.121
Subject(s) - computer science , web ontology language , ontology , extension (predicate logic) , description logic , inference , domain (mathematical analysis) , circumscription , ontology language , owl s , domain knowledge , artificial intelligence , data science , semantic web , programming language , epistemology , mathematics , mathematical analysis , philosophy , semantic web stack
The use of ontologies to represent geographical knowledge has received a lot of attention recently. Nevertheless, classical ontol- ogy languages are not able to represent incomplete and uncertain knowledge, which are very important characteristics of several situations in geographic domain. Based on our previous work, we propose a solution for handling uncertainty and for dealing with inconsistency in geographical applications. In this paper, we present an extension of the OWL 2, named Poss-OWL 2, based on our Poss - SROIQ(D) description logic (DL). Then we describe some reflections about the inference system. Illustrative examples, from archaeological domain, are given
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