Learning Ontology from Text: A Storytelling Exploratory Case Study

摘要

Business and IT systems are facing increasingly complex environments characterized by collaboration, change and variety of customers, suppliers and products. Appling group storytelling technique can contribute to the organization knowledge management. It brings benefits from capture to disseminating information, through communication and understanding of the concepts. American companies (3M and Apple), Japanese (Sony and Toshiba) and European (ClubMed and Oce) already use this approach in practice. On the other hand, the Ontology Engineering can contribute towards improving the quality of information and offer a solution to address knowledge management systematically. However, the specification and manually made of ontology management can be expensive, tedious, biased and pruned to error. Aiming to contribute with the management and quality of information, we explore the automatic learning of ontologies, which is an approach that extracts ontologies from data, both structured and unstructured (text). This work presents a proposal to extract an ontology from the tacit knowledge of those involved in the field. An exploratory study was able to get an ontology automatically from stories told by a group from a university department.