USING NATURAL LANGUAGE PROCESSING FOR AUTOMATIC EXTRACTION OF ONTOLOGY INSTANCES
Carla Gomes de Faria, Rosario Girardi, Ivo Serra, Maria Macedo, Djefferson Smith Santos Maranhão · 2010
Ontologies are used by modern knowledge-based systems to represent and share knowledge about an application domain. Ontology population looks for identifying instances of concepts and relationships of an ontology. Manual population by domain experts and knowledge engineers is an expensive and time consuming task so, automatic and semi-automatic approaches are needed. This article proposes an initial approach for automatic ontology population from textual sources that use natural language processing and machine learning techniques. Some experiments using a family law corpus were conducted in order to evaluate it. Initial results are promising and indicate that our approach can extract instances with good