Computer-aided Ontology Development: an integrated environment
Manuel Fiorelli, Maria Teresa Pazienza, Steve Petruzza, Armando Stellato, Andrea Turbati · 2010
In this paper we introduce CODA (Computer-aided Ontology Development Architecture), an Architecture and a Framework for semiautomatic development of ontologies through analysis of heterogeneous information sources. We have been motivated in its design by observing that several fields of research provided interesting contributions towards the objective of augmenting/enriching ontology content, but that they lack a common perspective and a systematic approach. While in the context of Natural Language Processing specific architectures and frameworks have been defined, time is not yet completely mature for systems able to reuse the extracted information for ontology enrichment purposes: several examples do exist, though they do not comply with any leading model or architecture. Objective of CODA is to acknowledge and improve existing frameworks to cover the above gaps, by providing: a conceptual systematization of data extracted from unstructured information to enrich ontology content, an architecture defining the components which take part in such a scenario, and a framework supporting all of the above through standard implementations. This paper provides a first overview of the whole picture, and introduces UIMAST, an extension for the Knowledge Management and Acquisition Platform Semantic Turkey, that implements CODA principles by allowing reuse of components developed inside UIMA framework to drive semi-automatic Acquisition of Knowledge from Web Content. 1.