Authors:
Ingrid Falk
;
Samuel Cruz-Lara
;
Nadia Bellalem
and
Lotfi Bellalem
Affiliation:
Nancy Université, France
Keyword(s):
Knowledge representation, Ontology engineering, Multilingual linguistic representation, Ontology and lexicon.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Case-studies
;
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Natural Language Processing
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Pattern Recognition
;
Symbolic Systems
Abstract:
In this paper we discuss ways to handle multilingual linguistic information within the framework of the SEMbySEM projecta. The SEMbySEM project aims at defining tools and standards for the supervision and management of complex and dynamic systems by using a semantic abstract representation of the system to be supervised or managed. As we want our system to conform to an end-user’s point of view, the conceptual information must be available and presentable in the end-user’s language. On the other hand, lately the need for and benefits of more accurate linguistic information associated to ontological knowledge representations have become more evident and there emerged models of how this articulation could be achieved. Two of these models are LexInfo (Buitelaar et al., 2009) and LIR, the Linguistic Information Repository (Montiel-Ponsoda et al., 2008). In this paper we explore these models under the prospect of putting one or both in praxis in the setting of the SEMbySEM project.