Semi-automatic Integration of Learned Ontologies into a Collaborative Framework

Abstract

The paper presents a novel ontology lifecycle scenario that explicitly takes the dynamics and data-intensiveness of real world applications into account. Changing and growing knowledge is handled by semi-automatic incorporation of ontology learning results into a collaborative ontology development framework. This integration bases mainly on automatic negotiation of agreed alignments, inconsistency resolution, an ontology versioning system and support of natural language generation tools, which alleviate the end-user effort in the incorporation of new knowledge. The architecture of the respective framework and notes on its progressive implementation are presented.