A Clustering-Based Infrastructure for Reuse of Ontologies

A clustering approach is proposed for identifying candidate reusable regions in any multi-agent decision support system. Clustering allows an axiomatized ontology to be analyzed in the context of its usage instead of in the context of its declaration. Pragati?s Multi-ViewPoint Clustering Analysis (MVP-CA) Technology facilitates analysis of semi-structured systems by clustering meaningful information entities. Manipulable reusable software artifacts such as model fragments and templates can be extracted out of existing systems through clustering, which can be subsequently used to create new ontologies and axioms. Both ontological and axiomatic aspects of legacy systems are thus addressed for reuse. The Façade Creation Toolkit (FCT) project provides an environment for addressing the creation and reuse of ontologies. Our joint approach promises to reduce the cost of developing multi-agents substantially as we propose an informed, interactive, adaptive and holistic approach for reusing legacy multi-agent systems. We anticipate that our proposed infrastructure can benefit several ontology authoring environments, especially the UML-based ones. In addition we anticipate that our research will have impact on the knowledge management market as well. Mining for knowledge in senmi-structured systems has applications in various fields such as forensics, bio informatics, criminal investigation, anti-terrorism-related analysis and so on.