OntoLP: Ontology Engineering in Portuguese Language

• Luiz Carlos Ribeiro Junior PUCRS
• Renata Vieira PUCRS

Abstract

The continuous growth of digital information resources of many kinds (texts, images, videos, services) points to the need of consistent knowledge representation structures for modeling, storing, accessing and communicating about these resources. In this context, ontologies are being claimed as an important technology. Ontologies wide adoption is, however, difficult due to the large cost of building them from scratch. This problem instigate a new area of research related to ontology learning from texts. For this kind of problem, many of the tools and methods needed are language dependent, since they rely on linguistic knowledge. Efforts are needed for each language. This paper presents a tool (OntoLP) developed as a plug-in to the ontology editor Protégé which analyzes a given domain corpus of Portuguese texts and suggests concept candidates and their hierarchy to the ontology engineer, based on the knowledge presented in the texts.

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