Literature Domain Ontology-Based Semantic Search Technology Research And Implementation

With the explosive growth of network resources, how to find information rapidly and exactly from huge amounts of information has become an urgent problem to solve. The traditional search engine based on keywords or text cannot fully express the semantic information, and there are many drawbacks, such as "faithful expression","vocabulary isolated island" and so on. In order to solve the problem, we implement retrieval on semantic level by giving full consideration to the implicit knowledge and associated expression between information.Ontology, a shared conceptual model of the explicit and formal specification, has a good hierarchy and logical reasoning ability. It provides the generally accepted concepts of a specific area and the relationships between concepts. Ontology supports knowledge reuse, sharing and modeling, so it can be well understood by the computer. Ontology, as the core technology of the semantic Web, is high-profile. And it plays a decisive role in the research and implementation of semantic search.This paper introduces the conceptual model, description language, classification and function of ontology, and analyzes the construction principles, methods and tools of ontology. It discusses the conception, classification and working principle of search engines, and the related technology to realize semantic search. A building model for the literature domain ontology in the field of information security is proposed, and the literature domain ontology includes document ontology and conceptual semantic dictionary ontology. A detailed construction process of the literature domain ontology can be described, and defines related document inference rules based on ontology reasoning mechanism. Finally, focus on the study and realization of Chinese word segmentation, concept similarity calculation and HTML Parsing based on the construction of the literature domain ontology-based semantic search. On this basis, design and implement the semantic search demo system based on the literature domain ontology, and the experimental results and analyses are given. Compared with the traditional search engine, the semantic search engine based on the literature domain ontology has higher precision and recall rate in results, and can get more related implied information.