An adaptation of Text2Onto for supporting the French language

The ontologies are progressively imposing themselves in the field of knowledge management. While the manual construction of an ontology is by far the most reliable, this task has proved to be too tedious and expensive. To assist humans in the process of building an ontology, several tools have emerged proposing the automatic or semi-automatic construction of ontologies. In this context, Text2Onto has become one of the most recognized ontology learning tools. The performance of this tool is confirmed by several research works. However, the development of this tool is based on Princeton WordNet (PWN) for English. As a result, it is limited to the processing of textual resources written in English. In this paper, we present our approach based on JWOLF, a Java API to access the free WordNet for French that we have developed to adapt this tool for the construction of ontologies from corpus in French. To evaluate the usefulness of our approach, we assessed the performance of the improved version of Text2Onto on a simplistic corpus of French language documents. The results of this experiment have shown that the improved version of Text2Onto according to our approach is effective for the construction of an ontology from textual documents in the French language

From text mining to knowledge mining: An integrated framework of concept extraction and categorization for domain ontology

Organizations are struggling with the challenges coming from the regulatory, social and economic environment which are complex and changing continuously. They cause increase demand for the management of organizational knowledge, like how to provide employees, the necessary job-specific knowledge in right time and in right format. Employees have to update their knowledge, improve their competencies continuously. Knowledge repositories have key roles from knowledge management aspects, because they contain primarily the organizations’ intellectual assets (it is explicit knowledge) while employees have tacit knowledge, which is difficult to extract and codify. Business processes are also important from the management of organizational knowledge aspects, they have explicit and tacit knowledge elements as well. One of the key questions is how to handle this hidden knowledge in order to improve the organizational knowledge especially employees' knowledge by providing the most appropriate learning and/or training materials and how can we ensure that the knowledge in business processes are the same as in knowledge repositories and employees' head. These are the major themes in this thesis

Semantic and pragmatic characterization of learning objects

Tese de doutoramento. Engenharia Informática. Universidade do Porto. Faculdade de Engenharia. 201