Project : acacia
Section: Overall Objectives
Context and Objectives
Our multidisciplinary project aims at offering methodological and software support (i.e. models, methods and tools) for knowledge management (KM), i.e., for building, managing and distributing a corporate memory. This research can be extended to any organization or community.
We study the case where the building of a corporate memory relies on use of knowledge underlying documents, on the management of links between documents and knowledge bases or on the modelling of multiple viewpoints. We study knowledge acquisition, modelling and management from multiple expertise sources (experts and documents).We are especially interested in several scenarios of corporate memory: technical memory, profession memory and project memory, in particular in concurrent design, skills management and scientific and technological watch.
We study the problems raised by the dissemination of knowledge through a knowledge server via the corporate Intranet or via the Web: we consider the semantic Web as a privileged way for supporting management of knowledge distributed either inside a company or between several companies. We aim at building knowledge servers enabling search for information in a heterogeneous corporate memory, this search being ``intelligently'' guided by ontologies and ontological annotations.
This work is a contribution to the construction of a semantic Web for a company or a community. We focus on the case of a corporate memory materialized in the form of a XML-based corporate semantic Web.
For representing ontologies or knowledge models, we use Sowa's conceptual graphs formalism and the languages of the XML galaxy (especially RDF - Resource Description Framework).
Our research topics can be decomposed as follows:
Support for Corporate Memory Construction:
Methodology for building a corporate memory.
Multi-agents architecture for corporate memory.
Project memory and technical memory for concurrent design.
Management of multi-expertise:
Acquisition, modeling and capitalizing knowledge from several experts.
Managing multiple expert models, multiple ontologies, multiple points of view.
Acquisition, modeling and capitalizing knowledge from texts.
Support for Corporate Memory Broadcast and Use:
Knowledge Servers on a Semantic Web.
Tools for Querying and Browsing Ontologies and Documents.
Support to ``Intelligent'' Information-Retrieval, guided by ontologies.
Multi-agents System for Information Retrieval in a Distributed Corporate memory and for Proactive Dissemination.
International and industrial relations
Our work was applied in the context of the IST project CoMMA. We collaborate or collaborated with industrialists in the following fields: aeronautics (Aerospace, Dassault-Aviation, EADS), car industry (Renault), telecommunications (CSELT, T-NOVA, Telecom Valley), service integration (Atos Origin). We also had collaborations with researchers in accidentology (INRETS) and currently we have collaborations in civil engineering sector (CSTB), in the field of health (Nautilus) or in biology (IPMC). We had international relations with Griffith University and CSIRO (Australia), Parma University (Italia) and T-Systems Nova (Germany). We took part in the OntoWeb thematic network and we take part in the Knowledge Web Network of Excellence.