No abstract

Abstract: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 method is composed from three steps 1)Annotation with part-of-speech tags, 2) Semantic Relation Instances Extraction, 3) Ontology instantiation process. It's based on combined NLP techniques using human intervention between steps 2 and 3 for control and validation. Since it heavily relies on linguistic knowledge it is not domain dependent which is a good feature for portability between the different fields of risk management application. The proposed methodology uses the ontology of the PRIMA 1 project (supported by the European community) as a Generic Domain Ontology and populates it via an available corpus. A first validation of the approach is done through an experiment with Chemical Fact Sheets from Environmental Protection Agency 2 .

No abstract

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 breakdown structure, supports the technical description of a bid, re-using previous bids elements (know-how capitalization). TSI developed a specific tool for logistic support cost evaluation (SICLO). This specific tool proposes a detailed cost structure, year by year, including all the elements involved in their product support : documentation, training, spare parts, test benches, maintenance,... As a result, it is possible to evaluate the overall global cost and its yearly decomposition.The focus will be on the use of DECIDE in the ILS (Integrated Logistic Support) business. In this way, common points and differences will be developed in order to promote DECIDE toolkit in this business context. KEY WORDSLogistics, life-cycle, corporate memory, knowledge capitalization, decision systems, human factors in design.

No abstract