Research And Application Of Knowledge Base Construction Methods Based On Knowledge Retrieval

With the development of network information,knowledge grow rapidly.How to improve the retrieval efficiency,to reduce costs,and to use in all walks of life become an important research project.Because improper semantic expression or retrieval condition are not perfect,traditional retrieval cannot achieve the ideal effect of retrieval.Therefore,in the process of knowledge retrieval,using semantic analysis all kinds of new knowledge,natural language processing,and the statement matching algorithm to automatically deposite in the corresponding knowledge base system,and searching for the user to provide real-time information and effective retrieval interface,which as a goal to carry out the research in this paper.Firstly,the theory research of information retrieval and engineering practice were reviewed.Main methods of natural language processing,main algorithms and models of information retrieval are classified and summarized.Then evaluation indexes of general precision and recall and factors that affecting them too low are analyzed.Secondly,the knowledge retrieval research is analyzed.An improved knowledge retrieval algorithm is proposed and the constructions of knowledge base retrieval system is analyzed,and the function of ontology knowledge base system setup,the overall design,a knowledge base algorithm and the algorithm of retrieval system are discussed.Through experimenting contrast with the traditional method,which shows that the new algorithm has faster retrieval speed and higher retrieval rate.Then,this paper proposes a algorithm to build knowledge base for users to search knowledge retrieval method and apply to the knowledge base system.Introducing a construction of knowledge base and a knowledge search design,which not only collect for agricultural information intelligence,and timely controlling the situation of agriculture and effective control of risks,but also improve the efficiency of management;The design also can carry on the precipitation and to the huge amounts of data mining,which can effectively for the knowledge base to reduce redundant data and history data,to improve the effective utilization rate of the data,and to provide the premise for knowledge base of the further expansion and development.Finally,on the basis of the existing knowledge retrieval algorithm,combining with the proposed improved algorithm,the paper designs and implements the agricultural informationization knowledge base system.