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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, Medical domain, Off-line calculation, Performance gain, Real time processing, Vector space models, expert knowledge, improved efficiency, knowledge reduction
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
