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K-GATE Ontology Driven Knowledge Based System for Decision Support

Author(s): Ladislav Burita | Pavel Gardavsky | Tomas Vejlupek

Journal: Journal of Systems Integration
ISSN 1804-2724

Volume: 3;
Issue: 1;
Start page: 19;
Date: 2012;
Original page

Keywords: Topic Maps | ISO 13250 | ontology | taxonomy | faceted classification | thesaurus | metadata | controlled vocabulary | K-GATE | AToM2 | AION | Tovek | NEC | Network Enabled Capability.

The purpose of this paper is to describe a practical solution how to build an ontology driven knowledge based system for decision support about a domain of interest. Topic Maps standardized techniques were used for ontology building and also for keeping ontology open for new requirements. After detailed evaluation process, AToM2 software product was chosen for ontology development. Besides ontology development AToM2 provides complex tools for normalizing data into ontology both in interactive/automated way, mining knowledge from the ontology and presenting results. Software product Tovek Server was used for analysing and determining useful and domain relevant structures in unstructured content. The resulting knowledge based system is created as an output of methodological processes called Coordinated Analysis and Sharing of Information. The resulting Ontology Driven Knowledge Based System for Decision Support proposal was named K-GATE.
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