Ontology-based decision support for military information systems

Autor: Kiyeol Ryu, Minkoo Kim, Seheon Song
Rok vydání: 2010
Předmět:
Zdroj: 2010 IEEE Long Island Systems, Applications and Technology Conference.
DOI: 10.1109/lisat.2010.5478289
Popis: In this paper, we propose an ontology-based decision support for military information services based on a multi-agent system. Our system consists of sensor agents to detect raw-level data, a context management agent for handling context data, an information service agent, an operational decision support agent, and user agents for maintaining user information. Our approach allows users in military domain to freely access to knowledge and to handle their own business by creating an environment of command and control system. It helps to reduce their workload and to simplify and share knowledge using our intelligent agent system.
Databáze: OpenAIRE