Research On Intelligent Search Model Based Semantic Web

In modern information times, the Internet has become an indispensable platform for people to express, show, and communicate. With the explosion of large amount of information, diversity of linguistic sense and people's various behaviors, the traditional information search model has exposed many problems gradually such as vocabulary detached island, expression diversity, faith expression and mechanical matching problems. The essence of the problems is that traditional information search model cannot analyze and enlarge meanings of users'input key words and it is lack of information process and understanding. With the proposal of semantic web, many scholars have put their targets on the study of semantic web in the world since 2000. A research hotspot of semantic web has been the theoretical base for information search model's intelligentized development.This thesis studies the semantic web and relative ontological theories, concept and technology. It depicts the hierarchical model of the semantic web, key technoque, and realizating way. The thesis introduces the ontology and its definition, modeling way, modeling mealanguage, as well as ontological description language OWL .Finally, I sum up the above viewpoints and put forward a new working of information search model basing on semantic web's intelligent search. I establish semantic intelligent search's hierarchical model and make up and explain theoretically investigative and realizable probabilities of semantic web's intelligent search engine. At last according to theoretical model,by across from the key problem,establish the basic ontology model and by establish ontology model tool Protégé₃.2.1,realize ontology model,and put ontology model's XML list code.At last,research this ontology model's semantic semblance and semantic degree of correlation's account methods,give the semantic semblance and the semantic degree of correlation's traditional flow diagram.