Authors:
Amir Souissi
1
;
Walid Chainbi
2
and
Khaled Ghedira
3
Affiliations:
1
Manouba University, Tunisia
;
2
Sousse University, Tunisia
;
3
Tunis University, Tunisia
Keyword(s):
Ontologies, Modularization, Extraction, Semantics.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
MetaModeling
;
Models
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Paradigm Trends
;
Semantic Web
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
Ontology modularization is crucial to support knowledge reuse on the ever increasing Semantic Web. However, modularization methods that serve the reuse goal are often intended for humans to assist them in building new ontologies, rather than for applications that need only a relevant part of an existing ontology. Moreover, modules obtained are always subject to verification and maintenance by humans to validate the semantic consistency of their contents. In this paper, we investigate how semantic comparisons may provide a module relevant to a set of terms which are not part of the ontology. Our objective is to extract a module which may be usable as a separate ontology. The user does not need to be familiar with the exact terms used inside the ontology beforehand to extract from it a module for a specific application/knowledge sub domain.