Research And Development Of A Ontology Automatic Generation System Oriented Medical Diagnosis

Ontology is mainly used to describe the relationship between concepts and concept, and in artificial intelligence, Web semantics, heterogeneous e-commerce and Web information processing and other fields has been very good application. But there are basically hand-built ontology, this is a tedious and hard work, the study on the automatic generation of ontology is necessary.This manual for the Medical Domain Ontology Construction of some of the issues, knowledge of electronic medical records data sources, focus on resolving the ontology automatically generated in the medical field, the three key issues-the concept of extracting the medical field, medical field, and the concept of relationship between the classification the extraction of non-classified relations problem, a medical clinic for automatic ontology generation system theory and technology.The main thesis as follows:First, the concept of the medical domain ontology automatically generated theory and technology. Through the Chinese word and POS tagging method of electronic medical records processing, using both statistical algorithm and a knowledge based approach to thesaurus concepts for the medical field, statistical algorithm is based on word the concept of vector space model of the areas related to access and domain concepts the same degree and the field of algorithm on the combination of the concept; knowledge-based dictionary combined forward the concept of maximizing access to the word algorithm is to use the field of medicine is the main dictionary, the concept can be matched directly to obtain the medical field, but also can be split in the medical field maximize the positive concept of the merger, thereby avoiding the concept of the medical field is split.Secondly, the concept of the medical field to obtain the relationship between the theory and technology. From the medical field through the concept of hierarchical clustering a collection of concepts in the medical field to extract relationships between the classification; use of Association Rules from the medical field to extract the concept of a collection of non-classified relations between concepts and relationships and non-classified under the category to generate the face Medical treatment of the body structure;Finally, the case of the medical field experiments on the prototype system. Enter the electronic medical record for ontology extraction and treatment, and the experimental results are analyzed.The experiment illustrates the use of this thesis in the theory and technology is feasible. This thesis focuses on the medical field theory and technology of automatic generation of ontology conducted in-depth research, medical clinics built ontology for automatic generation system, the present study the value of good theory and practical application of significance.