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A Methodology for the Development of Computer Ontologies Based Extractor Information
Abstract
In this chapter we propose a new methodology for ontology building, which is based on a set of mapping rules from a conceptual schema (Entity-Relationship) and its corresponding logical model (relational model) toward a conceptual ontology. The proposed methodology consists of three big steps, which are, the Transformation (mapping), the Formalization and the Codification. The crucial step in the building process of this methodology, is the transformation, this last is based on an automatic extraction of information for a conceptual model ER (such as entities, relationship, properties and cardinalities). The data stored in the database (the schema extension) are extracted and used to create instances of the ontology. At the end of this stage we will have a complete conceptual ontology can be used in different applications. The objective behind this work has several aims, which can be exploited in many fields, among others, search and retrieval of relevant terms in a domain of discourse, our methodology minimizes the manual work and gives a good result in an optimal time, the second is to facilitate the migration of an information system based on a classical approach (entity-relationships and relational model) towards another solution based on an ontological approach, while retaining the principle of operation of the first system.
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