The Intelligent Knowledge Retrieval Based On Ontology

The issue of Knowledge Retrieval has brought great innovations and challenges to information retrieval theory, which formed in the mid-20th century, while, the concerns and joining of scholars also make some results. However, in these fields involving rapid renewal of knowledge and various user demands, further improving the retrieval efficiency has encountered bottlenecks, being lack of the actual capacity of systems thinking. For this reason, taking artificial intelligence-related technology as research background, knowledge retrieval models and methods as research object, and improving the level of intelligent of knowledge retrieval system and retrieval efficiency as research purposes, this paper will delve into the following areas:(1) Ontology-based intelligent Knowledge Retrieval Model. Based on the ontology-based knowledge of the working principle and the general model, This paper first analyzes the impact of intelligent retrieval system of two factors; and then proposes a Ontology-based intelligent Knowledge Retrieval model, which combined Agent, IGA and other artificial intelligence technology, and amply narrate the model of architecture and work flow.(2) A IGA-Based Requirements Elicitation Method of The Knowledge Retrieval. In order to effectively solve the disadvantage of the Requirements Elicitation in Knowledge Retrieval which is caused by users'vague and inadequate demand, this paper analyse the characteristics of user demand which is divided into two parts: explicit part and implicit part, and design a description model of user demand with the idea of Concept map. Applying the theory of Interactive Genetic Algoririthm, we explore the application patten of this technology in Requirements Elicitation of the Knowledge Retrieval based on our requirements model.(3) Concept Map-based matching method of knowledge retrieval. In order to improve the retrieval efficiency, Combined of the mutual information produced in the retrieval process, calculated users retrieval value of the concept, and applied to knowledge matching method based on concept map.Finally, according to the contents of this paper constructed Ontology-based Intelligent Knowledge Retrieval System Example - sport shoes product retrieval systems, and on this basis performed the group retrieval experiments, proved the feasibility and effectiveness of this model and methods.