MOKHTARI NOUREDDINE

               Home                CV                   Publications                Teaching

 

PhD in Computer at INRIA Sophia Antipolis Méditerranée and Université Nice Sophia Antipolis since the 15 December 2010 and a Graduated Master Research Computer Sciences from INSA de LYON

I'm a member of the Edelweiss Research Team of INRIA Sophia Antipolis Méditerranée

 

Mail: Noureddine.Mokhtari at sophia.inria.fr

          Noureddine.Mokhtari at gmail.com

 

Phone: +334 97 15 53 14

Fax: +334 92 38 77 83

Address:  INRIA, 2004 route des lucioles - BP 93, 06902 Sophia Antipolis cedex France

 

PhD thesis Abstract:  

This thesis falls within the framework of the European project SevenPro (Semantic Virtual Engineering Environment for Product Design) whose aim is to improve the engineering process of production in manufacturing companies, through acquisition, formalization and exploitation of knowledge. We propose a methodological approach and software for generating contextual semantic annotations from text. Our approach is based on ontologies and Semantic Web technologies.

In the first part, we propose a model of the concept of "context" for the text. This modeling can be seen as a projection of various aspects of "context" covered by the definitions in literature. We also propose a model of contextual semantic annotations, with the definition of different types of contextual relationships that may exist in the text. Then, we propose a generic methodology for the generation of contextual semantic annotations based on domain ontology that operates at best with the knowledge contained in texts.

The novelty in the methodology is that it uses language automatic processing techniques and grammar extraction (automatically generated) field relations, concepts and values of property in order to produce semantic annotations associated with contextual relations. In addition, we take into account the context of occurrence of semantic annotations for their generation. A system that supports this methodology has been implemented and evaluated.

 

Phd thesis (full version):