Research on Information Retrieval Technology Based on Semantic Web
|School||Jiangsu University of Science and Technology|
|Course||Applied Computer Technology|
|Keywords||Semantic Web Noumenon Semantic information retrieval Lucene Semantic similarity|
The information explosion is a major feature of today 's information society , information retrieval has become an important way of access to knowledge and information from the information society . Traditional information retrieval mode , users increasingly difficult to find the necessary resources , how to find the information needed by users made ??semantic information retrieval is a key problem , to solve this problem and prospects . Semantic Web the rise as well as the theory and technology support , semantic information retrieval has become a recent research hotspot . This paper first analyzes the semantic Web, ontology and description logic theoretical knowledge to build a Semantic Web - based information retrieval model , then the basis of full-text search of ideas and Lucene ontology-based information retrieval , details semantic retrieval each of the modules in the model function. The in-depth study of some of the key technologies involved in semantic information retrieval model , these key technologies , including the construction of domain ontology , the collection of information resources , semantic reasoning , target semantic analysis and semantic similarity analysis . Which improved target semantic analysis based on keywords , to introduce semantic relation and semantic association , and improve the integrity and accuracy of the keywords to the ontology concept mapping , effective speculate on the user's intent . The feasibility of these technologies for semantic information retrieval model provides good technical support . Finally, the theoretical basis , the development of literature semantic retrieval experiment system - SIRD ( Semantic Information Retrieve for Document ) The system is based on computer literature in the field of semantic retrieval objects , build the domain ontology . Handled by semantic reasoning , you can fully explore the relationship between literature and thus be able to solve the problem of lack of the resource object semantic information retrieval , to meet the needs of the users to retrieve . The smooth implementation of the semantic retrieval system to verify the feasibility of semantic information retrieval model .