Anne-Marie Alquier

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ESPRIT project DECIDE n° 22298 develop a methodology and a related decision support system to assist user companies in their bidding process. In this paper, the costing module will be discussed, in regard of industrial expectation for logistic business. This module is based on an Enterprise Products and Processes Repository (EPPMR). It manages product(More)
One of the challenging tasks in the context of Ontological Engineering is to automatically or semi-automatically support the process of Ontology Learning and Ontology Population from semi-structured documents (texts). In this paper we describe a Semi-Automatic Ontology Instantiation method from natural language text, in the domain of Risk Management. This(More)
In this paper we propose an NLP-based Ontology Population approach for a Generic Structure instantiation from natural language texts, in the domain of Risk Management. The approach is semi-automatic and based on combined NLP techniques using domain expert intervention for control and validation. It relies on the predicative power of verbs in the(More)
A methodology for Knowledge Capitalisation and Corporate Memory in improving project management is proposed. It focuses on knowledge capture, storage and re-use to support strategic decisions at project start up (bidding process or conceptual phase), through communication and information technology. The information support is a Decision Support System which(More)
Project Management existing methods lack adequate Information System concepts to support :-the global design of the project management information system (PMIS) integrating all preoccupations of project control : time, perfomances, cost and risk.-new trends like: knowledge management and capitalisation, strategic decision support systems, integration to the(More)
The research work focuses on corporate memory modeling methods and design. Corporate memory will be defined as a knowledge management issue. A modeling method and related tool will be proposed. The approach is based on an a-priori paradigm, where data are stored because of their relevant degree of interestingness for the company. Enhancing corporate(More)
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