Research of Framework and Algorithm of Semantic Information Retrieval
Xueming Wang
Abstract
Xueming Wang
Abstract
There is a lack of unified semantic description for traditional information retrieval.So it is difficult for user to find related resources fitting their needs.Because of this shortcoming,semantic query becomes the hotspots of research.In order to resolve the problem of the accuracy on traditional information retrieval,bring the concept of semantic web into information retrieval. It uses the ontology to describe the resources.Therefore,semantic retrieval has emerged.Present a framework based on semantic web for semantic retrieval and propose the algorithm to achieve semantic retrieval.This algorithm is a depth-first traversal and uses it to query concept precisely,which can improve the accuracy of information retrieval.
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There is a lack of unified semantic description for traditional information retrieval.So it is difficult for user to find related resources fitting their needs.Because of this shortcoming,semantic query becomes the hotspots of research.In order to resolve the problem of the accuracy on traditional information retrieval,bring the concept of semantic web into information retrieval. It uses the ontology to describe the resources.Therefore,semantic retrieval has emerged.Present a framework based on semantic web for semantic retrieval and propose the algorithm to achieve semantic retrieval.This algorithm is a depth-first traversal and uses it to query concept precisely,which can improve the accuracy of information retrieval.
Key concepts: Computer science, Information retrieval, Semantic computing, Concept search, Explicit semantic analysis, Social Semantic Web, Semantic Web Stack, Semantic similarity