지식 추상화와 의미 거리 접근법을 통합한 질의 완화 방법론Relaxing Queries by Combining Knowledge Abstraction and Semantic Distance Approach

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The study on query relaxation which provides approximate answers has received attention. In recent years, some arguments have been made that semantic relationships are useful to present the relationships among data values and calculating the semantic distance between two data values can be used as a quantitative measure to express relative distance. The aim of this article is a hierarchical metricized knowledge abstraction (HiMKA) with an emphasis on combining data abstraction hierarchy and distance measure among data values. We propose the operations and the query ralxation algorithm appropriate to the HiMKA. With various experiments and comparison with other method, we show that the HiMKA is very useful for the quantified approximate query answering and our result is to offer a new methodological framework for query relaxation.
Publisher
한국경영과학회
Issue Date
2007-03
Language
Korean
Citation

한국경영과학회지, v.32, no.1, pp.125 - 136

ISSN
1225-1119
URI
http://hdl.handle.net/10203/21266
Appears in Collection
MT-Journal Papers(저널논문)
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