Research And Implementation Of Personalized Semantic Search Based On SWRL Rules

When the explosive development of Internet in the environment, more and more information resources or website come out to people. Facing the massive cyber source, using a new technology to search the vast information, and provides the user the most suitable result to the user are necessary. Because most of the existing information search system is based on key words, the computer only use full text matching and present the results to the user by keywords, and the results just matching literal and cannot be given the semantic level correlation information at the same time. Resulting in the information search is not complete, decreased the quality of results. Therefore, the search engine technology combined with semantic technology can solve the problem very well, and provided more suitable result to the users.This article study the semantic search from the construction of SWRL rules of ontology, and build the search model based on SWRL rules analysis and semi automatically building ontology. This paper mainly introduces the regulations of the SWRL rules analysis and the establishment in regular way, beside, we use an improved pattern match algorithm to solve the difficulty of automatic construction of ontology, last we actualized the whole system, and carries on the analysis to the feasibility and effectiveness of the experiment.The proposed personalized semantic search method based on SWRL in semantic search provides support for rapid construction of ontology theory, when you develop the semantic ontology in the future, you can use this method complete it in a short period of time, and bring convenience to the scientific research work.