Research On Teaching KB Based On Ontology

The knowledge representation of knowledge base is one of the first important problems that must be settled in intellectualized system. Because the traditional intelligence teaching system resources lacks the uniform knowledge representation framework, all the learning resources are difficult to operate and share each other in various teaching system. At present the keyword-based knowledge information retrieval mode of ITS, being very limited in revealing semantics and pragmatics, is difficult to satisfy the users' actual demands. So it is very useful to research the knowledge representation of knowledge base.This dissertation gains the following results by introducing ontology to the modeling process of teaching KB:First, starting with the knowledge representation of ITS, the dissertation offers model of share concept based on ontology. This promotes the standardization of entities property and glossary express in KB. Simultaneity, it can offer knowledge share and semantic mutual-operation by establishing a space of semantic concept.Second, at the procedure of modeling ontology-based KB, we design an ontology modeling method and process based on CRUP by combining the ontology modeling methods in existence and the technology of software engineering. Then we construct the ontology of Data Structure based on OWL representation and probe into its validity according to our CRUP-based method.Third, we develop a prototype system of semantic search based on our constructed ontology-based KB. We study its principle of construction, working flow and methods of development. Then by analyzing circulation of system, we think that the searching system based on semantic is more round and exact than the searching method based on keyword of traditional way.In order to provide the modeling of sharing concepts and semantic concepts, ontology is introduced to the KB modeling of ITS. This not only solves the problem of knowledge sharing and operating and easily realizes the inquiry function based on semantic search, but also realizes semantic search based on conception easily. This can raised the precision and recall of information search system.