| Recently, the abrupt affairs such as terrible activity, earthquake, flood, fire, epidemic, the safety of coal production and power transmission, etc. break out frequently. All these endanger the people's life property and social safety largely. The appropriate processing of abrupt affairs need cooperation of the related section in different regions, different domains, so it is the primary problem to provide the common and coherent comprehension of certain domain knowledge for decision makers. Moreover, other important question that emergency decision support system will face to is how to search the information correctly and roundly, and how to make abundant precise and timely decision with exact data and fast speed at a less cost, when decision-makers confronting with massive data and information.The term Ontology is derived from philosophy, and is defined as "Theory of existence". In computer science, the researchers use the basic idea of Ontology to build ontological howledge base. The modeling of Ontology-based knowledge base system is one of the research hot spots in knowledge engineering. The significance of our introduction of ontology modeling method into emergencydecision is that the knowledge base, which is established according to ontology modeling method and related knowledge representation standard and exchang protocol, would benefit for the exchanging, transferring and sharing of knowledge. Ontology, in its formalization way, represents basic concepts, attributes, processing methods and inner relationships of knowledge in decision areas. This representation can be reusable and shareable, and make it convenient for the knowledge to be searched. Ontology-based knowledge base systems are of high reliability, because the correctness of formalization can be checked through even more reliable software. Representation of the formalization of tasks can be standardized by ontology, which is helpful to the analysis of tasks, the explicit definition of the roles of decision makers and systems in decision making process and the tasks of decision making process. Ontology-based system modeling can make the structure, document and coding of the system even more distinct, thus making it easy to be maintained.After analyzing all kinds of decision support systems, the paper recounts the problem of defence mobilization emergency decision, and designs a general framework of emergency decision support system for national defence mobilization; then existing knowledge representation methods and scientific views of knowledge representation are summarized, we researched international ontologies, and put forward a new diagrammatic method for domain ontology modeling named Domain Knowledge Ontology for Emergency Decision (DKOED). Based on the foundational theory of Ontology, DKOED integrates the methods of semantic network, object-oriented modeling and semantic data modeling. DKOED is capable of modeling and reasoning staticdomain knowledge, including domain structures, concepts and properties of the concepts, and the relations among concepts, etc.. With this modeling method emergency decision domain ontology model was consturcted. I analyze and compare kinds of ontology description languages and ontology editing tools, select OilEd to build the formal description document of the domain ontology model which is based on OWL+RDF+XML.Finally, after constructing the domain knowledge ontology model, we propose the method to query the emergency decision domain knowledge, and design the specification of the query information source data, the framework of the query system and the query model, and construct the query sentence, then compare with the search engine based on traditional key words matching. The results indicate that the knowledge query based on ontology can resolve many problems that traditional search engine fails to resolve, such as synonym, subword and semantic relation between objects etc., and it can satisfy the need of decision maker to search information more comprehensively and precisely.
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