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• WebLearn : Content Management for Semantic Web: application to E-learning

Due to the growth of resources on the Web and to their heterogeneousness, it is difficult to find the relevant resources to answer a user's request. Our goal is to modelise, organise and personalize resources available on the web and for that, provide web pages which contain the significant information and especially the sequence of resources and their personalized presentation. We work to solve problems generated by the identification and composition steps.

• Identification of resources from ontologies

This step includes the discovery of resources, for example from services, and their enrichment which will facilitate their use, using tasks like classification, semantic marking and indexing. Semantic marking requires models and help tools to annote and manage ontologies. Some specific methods of indexing are used to organize these annotations and ontologies.
We represent pedagogical resources with S-Nodes graphs and adapt algorithms in the context of Education.

• Assistance to compose resources

These studies have been applied in the field of e-learning, in order to help a teacher preparing his course. The goal is to model and synchronize the teaching resources available on the Web, in order to design, evaluate and revise a course. So, Assistance is given to create courses by enriching an ontology of teaching concepts.

• Identification of open problems in Semantic Web for e-learning (slide)
  

• Design and implementation of semi-automatic annotation tools including semantic aspects.
• Description of learning resources and services using metadata, annotations and ontologies, not ontly static but with ability to evolve with the time. Description of data can change. So we suggest to adopt an approch like this used by Edutella for data, in view to store metadata, annotation and ontologies.
  
• Treatment of metadata with a declarative mean, at a high level of abstraction, in view to reduce significatly, maintenance and development costs of learning applications.
  
• Definition of modular metadata warehouses able to install only needed services. Indeed the services needed for learning applications, particularly by resources storage, are different according to applications of learning.
  

• Methodologie based on users roles
  

Supported by the action "Web Semantic and Learning" of Kaleidoscope NoE, and in collaboration with others partners, we proposed a methodology based on users roles (teacher, student) to identify and describe scenarios of semantic annotation of learning contents.

• LMD

This work is relevant of Research and Development and consists to design a prototype for the management of offers of formations of Universities in the context of European Higher System (called LMD in French).
The prototype has been implemented essentially by students in engineering (master level).

• Composition of resources and services adapted to the user with a semantic approach

 For the elearning application, this concern either the learner during his training  according his asset and if its training context, or the teache in his role of design of course, by taking of account semantic aspects through ontologies.

• Fiability, Privacy and evaluation of information and resources

How to guarantee the validity of distributed informations and resources?

These works will apply to the field of education, but also in a general way for research, composition and diffusion of information and resources accessible to the Web.

• Chimère: Integration and Exploitation os Semi-Structured Informations from Heterogeneous Source. France Telecom (1998 - 2001).
• Reanimatic: Evolutive data Warehouse for Observation of Patients in Reanimaiton. Telemedecine. French Research and Medecine Ministeries. Elisabeth Metais (1998 - 2000).
• Cooperative Information Systems Modeling. A Negociation driven Approach  (1996-1999)
• Genome and Computer Science. Tool to help biologist scientist. Datasys (1993-1998).
• Acquisition of Contextual Knowledge. Sapiens, a System for the Transliteration of Egyptian Hieroglyphic Texts (1992-1996)
• Symbolic Machine Learning from Geometrical Examples for Decision. Go game application (1989-1993)
• Knowledge Representation for Malfunctions Diagnosis in Integrated Production Systems. Télémécanique Electrique (1888-1892).
• EDDI: Environments for the Development of DIdacticiels. Intelligent Tutoring System (1988-1992).
  
• Demo'Project: Representation of Knowledge and Reasoning to describe a Knowledge Base. Object and Semantic Network based Approach. Taking into account of Explanation and Teaching (1997-1992).
  
• Demsi'Project: Specification of Information System Evolution. Object Approach (1980-1986).
• Lapage'Project: Specification of Information System. Relational Approach (1976-1980).

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