Semi-automatic Integration of Learned Ontologies into a Collaborative Framework

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Authors	NOVÁČEK Vít LAERA Loredana HANDSCHUH Siegfried
Year of publication	2007
Type	Article in Proceedings
Conference	Proceedings of IWOD/ESWC 2007
MU Faculty or unit	Faculty of Informatics
Citation
Field	Informatics
Keywords	ontology evalution; dynamics; inconsistency resolution; semantic web framework
Description	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.
Related projects:	Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)