| With the computer network technology advancing at a high speed,the information on the Internet tends to growth explosively under the effect of larger data,cloud computing and other technologies.On the one hand,this information is very huge.On the other hand,the information is becoming to increased diversity due to the different characteristics of the information and the difference of information processing and storage methods.This not only brings a lot of trouble to the computer information processing,but also makes more and more difficult for people to obtain information on the Internet.Under the background of the veriety of massive information,the traditional information retrieval technology can not meet people’s search needs very well.The main reason of it is that the most of these information retrieval techniques are based on mechanically keyword matching.For one ting this method cannot understand the goal of users’ search,for another this method is not able to understand the information which it has searched.It lets these traditional search techniques to be difficult to reach the more intelligence height.But the presentation of Semantic Web brings new hope to solve above problem.Semantic Web uses Ontology to build standardized and formal knowledge systems in the computer systems.This allow computers understand information to operate.As the result,users are able to find the information which they want with the information-understood computer.This thesis mainly studies the application of ontology in computer information field and the ontology description and modeling methods,as well as ontology semantic similarity calculation.As the background of drug information,Acording to the current retrieval technology lack of ability of semantic information processing,it introduced and designed the query process plan based on ontology.And then it complete the optimization of the method with Jena.During implementing the Drug Drace System,it has built the model of drug ontology and applied drug ontology to the Drug Drace System to optimize drug information query and improve the service quality. |
