Network resource semantic retrieval method and system based on resource description framework

Abstract

The invention discloses a network resource semantic retrieval method and a network resource semantic retrieval system based on a resource description framework. A resource description method provided by using the resource description framework is used for carrying out data modeling on a heterogeneous resource on a Web; uniform description based on RDF (Radio Direction Finding) is carried out according to models so as to support information retrieval based on semantics in a querying process, so that physically-loosened resources in a previous system are effectively and logically collected together by the uniform description based on the RDF, web resources are effectively utilized and the target of sharing the resources on different platforms is realized. A resource semantic related base is introduced to store resources with the relevancy on the aspect of the semantics and the dynamic change of the Web resources is successfully processed, so that the recall ratio and the precision ratio are guaranteed. A dynamic sieving algorithm based on a bayesian decision theory is adopted to ensure that a usually-queried object is placed into a high-speed buffering storage and the time of returning back to a queried result is effectively shortened.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a method and system for semantic retrieval of network resources based on a resource description framework. Background technique [0002] With the acceleration of the global informatization process, there are more and more information on the network, and the requirements for information retrieval methods are also getting higher and higher. At present, most retrieval methods are full-text retrieval technology based on keyword matching, and the query results often have incomplete retrieval and wrong answers. Semantic retrieval overcomes the shortcoming that mechanical text matching is limited to superficial forms, analyzes and processes users' retrieval requests from the semantic level expressed by network (Web) resource information, and improves information retrieval from the current keyword-based level to that based on At the level of knowledge (or concept), there i...

AI Technical Summary

Problems solved by technology

It is precisely because people urgently need the emergence of semantic-based retrieval technology in real life, but the current technology is far from meeting people's needs

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