Authors:
Kanso Hassan
1
;
Elhore Ali
2
;
Soulé-Dupuy Chantal
3
and
Tazi Said
4
Affiliations:
1
Université de Toulouse 1; IRIT,CNRS Université Paul Sabatier, France
;
2
Université de Toulouse 1, France
;
3
Université de Toulouse 1; IRIT, CNRS Université Paul Sabatier, France
;
4
Université de Toulouse 1; LAAS, CNRS, France
Keyword(s):
Information Research, Intentional Structure, Intentional Explanation, Ontology.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Modeling Formalisms, Languages and Notations
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
We present RICAD system based on a semi-automatic method from specific-domain corpus (with which it is impossible to apply classical method information research). This approach is based on a model of intentional structure and RICAD system to recognize the author’s intentions from written documents in a specific domain. Our RICAD system happens in three stage: 1) to make a segmentation in a semi-automatic way of a document according to the authors intentions, and to extract the intentional verbs accompanied by their concepts of each segment through the system algorithms, 2) ontology building and 3) This system is also able to update the ontology of intentions for the enrichment of the knowledge base containing all possible intentions of a domain.