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Research On Construction Of Aviation Product Knowledge Base Based On Ontology

Posted on:2012-11-18Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y F CaiFull Text:PDF
GTID:1102330335451330Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
This paper based on the current field of knowledge management, knowledge engineering, and includes knowledge expression, acquisition and use of the theory and practice results, according to China's aviation industry current urgent requirements for knowledge and knowledge management status, makes a deep research of Aviation Product Lifecycle Knowledge Base(APLKB). The framework, content and function of APLKB are discussed, which makes a research on knowledge expression, knowledge acquisition and knowledge utilization about APLKB. Mainly study the following:(1) Based on the research of present situation of knowledge management and according to the knowledge management and knowledge engineering theory, this paper proposes the theory of PALKB, and devises a framework of APLKB theory, defining location and character and function of APLKB. As for aviation product knowledge management and demands of knowledge management, this paper proposes aviation product life cycle theory of knowledge.(2)The paper makes a research on sort of aviation product knowledge, and makes a representation of origin rule and topic rule, which focus on sort of aviation product knowledge。In accordance with the research of lifecycle activity model of aviation product which it designs a content model of aviation product lifecycle knowledge and framework model with application of these rules.(3)The paper makes research on knowledge expression method of APLKB, which analyzes merits and shortcomings of several methods of knowledge expression, especially analyzes merit and shortcomings of ontology knowledge expression method, then strengthening on argumentation on expression method to use ontology. The paper devises ontology expression model on APLKB, puts forward the method composed by four layers of express knowledge on APLKB.(4)The paper makes a research on ontology theory, and puts forward construction method of aviation domain ontology based on Aviation Encyclopedia Dictionary and part list, taking advantage of method of construction of ontology library based on thesaurus. The method needs less work of domain experts and has higher efficient by which typical aviation ontology is constructed. The calculation of semantic reflection is used in paper returns relation rather than similarity coefficient.(5) Because of knowledge acquisition is always our bottleneck on KM, therefore the paper makes research on it. It puts forward a method to automatically acquire knowledge based on multilayer rules and text mining that knowledge origin is data of business system by means of improvement of text mining calculation based on rule, and makes an innovation method of semantic label and improves method on similarity calculation.(6) This paper makes a research on knowledge retrieval utilization of APLKB that content is how to retrieve knowledge form knowledge base in order to realize computer-aid design and computer-aid manufacture of aviation product through application of ontology. It gives a dissertation on principle of knowledge retrieval and knowledge inference based on ontology, and it systemly gives an emphases dissertation on reusing of knowledge based on instance and fast shaping. It makes an innovation method to reuse knowledge based on instance and fast shaping and summarizes the method to reuse knowledge about fast shaping based on instance by experience. In order to test and verify feasibility of above method, the paper designs a system software model of aviation product knowledge base, which is running in a institute of aviation product.The paper completed with collaboration of on Aeronautical Science Foundation project——The Research on Integration Strategy of Aviation Enterprise Information Systems based on Ontology (2009ZG39001).
Keywords/Search Tags:Aviation product knowledge, knowledge engine, knowledge base, ontology library, knowledge management
PDF Full Text Request
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