Journals Information
World Journal of Computer Application and Technology(CEASE PUBLICATION) Vol. 2(5), pp. 104 - 113
DOI: 10.13189/wjcat.2014.020502
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Knowledge Reduction Information Retrieval Model in Pathology Medical Domain
Changwoo Yoon *
Electronics and Telecommunication Research Institute, Daejeon, Korea
ABSTRACT
We present an efficient intelligent information retrieval model using reduction of domain-specific expert knowledge, demonstrating its use in the pathology medical domain. We created an information retrieval model that incorporates domain-specific knowledge to provide knowledgeable answers to users. This model converts domain-specific knowledge to a relationship of terms represented as quantitative values, which gives improved efficiency. The conversion technology, called 鈥渒nowledge reduction,鈥� enables the off-line calculation of knowledge separate from the information retrieval (IR) process. This results in the real-time processing of retrieval results. We performed a simulation of the developed Intelligent IR model in the Pathology medical domain. Our approach resulted in an approximately 30% performance gain measured by average precision at 11 standard recall levels metrics when compared with the vector space model based IR method.
KEYWORDS
Information Retrieval, Intelligent Information Retrieval, Knowledge Representation, Vector Space Model, Bayesian Network
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Changwoo Yoon , "Knowledge Reduction Information Retrieval Model in Pathology Medical Domain," World Journal of Computer Application and Technology(CEASE PUBLICATION), Vol. 2, No. 5, pp. 104 - 113, 2014. DOI: 10.13189/wjcat.2014.020502.
(b). APA Format:
Changwoo Yoon (2014). Knowledge Reduction Information Retrieval Model in Pathology Medical Domain. World Journal of Computer Application and Technology(CEASE PUBLICATION), 2(5), 104 - 113. DOI: 10.13189/wjcat.2014.020502.