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Research And Practice Of Semantic WEB Education Information Fusion Service

Posted on:2020-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:R ZhuFull Text:PDF
GTID:2428330623462995Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the development of the Internet,nowadays,the education resources are already very huge.And its continue to growth rapidly.The resources on the Internet is complicated,but much useful information is in these data.Users need to deal with these information and get useful information from a large amount of data.Due to the Internet data is polyphyly,the structure of the data in the propagation is heterogeneous and ambiguous.These problems can lead to non-standard data information and not easy to be identified.Ontology solved the problem of heterogeneity and ambiguity of data,enabled the computer to effectively understand the logical structure of information resources,and increased the availability and shared of resources.According to the present situation and related properties of the field of educational resources information,the ontology construction a method of "five-step method" was put forward.The framework of educational resource ontology library was constructed through metadata setting,ontology attribute setting,association rule setting and reasoning rule setting through educational resources.After preprocessing the multi-source heterogeneous data such as resources and local resources on the network,combined with professional knowledge,the computer composition principle ontology library of heterogeneous data sources was constructed.By combining the ontology of educational resources and the Bayesian probability algorithm,a lexical frequency analysis model was proposed.It was improve the accuracy of obtaining educational information resources.By comparing the push according to the first level directory and the push model based on ontology,the comparative test was carried out to verify the feasibility of ontology push.
Keywords/Search Tags:Semantic ontology, Information fusion, Information push, Lexical frequency analysis model
PDF Full Text Request
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