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New Technology of Library and Information Service  2013, Vol. 29 Issue (1): 22-29    DOI: 10.11925/infotech.1003-3513.2013.01.04
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Combining Logical Inference with Content-based Computing for Intelligent Retrieval in Academical Networks
Nie Hui
School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China
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Abstract  The expression ability of Ontology description language OWL-DL is restricted in description logic. The actual utilization regarding Ontology is impacted due to the implicated relations among Ontology individuals not being able to be detected. With regard to the issue, the SWRL-based inference mechanism for knowledge base is introduced, by which semantic relations implied in the knowledge base can be identified. Consequently, implicit knowledge is embodied explicitly and more extensive inference results can be available. The mechanism is employed to tackle the problem of implicit knowledge discovery of academic resources on the Web. Furthermore, the topic-specific relations for the academic resources are built on the basis of the content-based similarity measure. All regarding approaches are tested in the prototype indicating reasonability, feasibility and effectiveness of the scheme.
Key wordsOntology inference      SWRL      Intelligent retrieval     
Received: 09 January 2013      Published: 29 March 2013
:  TH18  

Cite this article:

Nie Hui. Combining Logical Inference with Content-based Computing for Intelligent Retrieval in Academical Networks. New Technology of Library and Information Service, 2013, 29(1): 22-29.

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