Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine

Research on Information Retrieval Technology Based on Semantic Web

Author ZhouChao
Tutor ZhangZaiYue
School Jiangsu University of Science and Technology
Course Applied Computer Technology
Keywords Semantic Web Noumenon Semantic information retrieval Lucene Semantic similarity
CLC TP391.3
Type Master's thesis
Year 2011
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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 .

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