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Detail
Journal Article
Knowledge Reduction Information Retrieval Model in Pathology Medical Domain
- Authors
- Changwoo Yoon
- Issue Date
- 2014-05
- Citation
- World Journal of Computer Application and Technology, v.2, no.5, pp.104-113
- ISSN
- 2331-4982
- Publisher
- Horizon Research Publishing
- Language
- English
- Type
- Journal Article
- 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 “knowledge reduction,” 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.
- KSP Keywords
- Average Precision, Domain-specific knowledge, Intelligent information retrieval, Knowledge reduction, Medical domain, Off-line calculation, Performance gain, Real-Time processing, Retrieval model, Vector Space Model(VSM), expert knowledge
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
