Semi-automatic Integration of Learned Ontologies into a Collaborative Framework

The paper presents a novel ontology lifecycle scenario that explicitly takes the dynamics and data-intensiveness of real world ap- plications into account. Changing and growing knowledge is handled by semi-automatic incorporation of ontology learning results into a collabo- rative ontology development framework. This integration bases mainly on automatic negotiation of agreed alignments, inconsistency resolution, an ontology versioning system and support of natural language gene- ration 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.