Research On LBS Personalized Information Recommendation System Based On Ontology

With the development of information technology, People's demand for all kinds of information is in a continual growth, location based services(LBS) which attracts more people's attention is also used in all aspects of people's daily life.But the flood of information resources for people to search for information which they needed have bought confusion problems. Because the traditional recommendation system is a technology based on keywords for searching and querying, there is a lack of rich semantic information support,As a result, the recommended system information are not closely linked,with the user's location and situation, therefore it can not fully express the real needs of users.In view of the above problems,This paper presents a personalized information recomendation method that based on LBS, introducing the theory of ontology, user's situation and various rules to improve the effectiveness of information recommendation.Firstly,using the web ontology language to formally describe situational context ontology, user ontology and service ontology and construct the relationship of them;Secondly, using the ontology that constructed before to describe the user,service resource and their relationship then construct the ontology instance knowledge,Next, the concepts of ontology previously are defined as the semantic basis, summaring relevant common-sense rules, and using the rules of formal description language to express individual reasoning rules, establishing rules knowledge base as a condition of personalized recommendation algorithm in the optimization;Then,this paper puts forward a method to take into account the context of knowledge and rule-bound user interest model approach, personalized recommendation framework and methodology;Finally, through the development of mobile terminal example of personalized information system based on Ontology in the field,experimentally verified the Accuracy of the system in this paper. and illustrated the feasibility and effectiveness of this method.