Abstract
This paper presents an enhanced extension of the Vague Query System (VQS) [14], [15] to solve complex vague queries more efficiently and generally. The VQS is an extension to conventional database systems and can work on top of them to return records semantically close to user’s query. It represents semantic information of arbitrary attributes by mapping them to the Euclidean space and this information is invisible to the users. Answering a complex vague query requires searching on multiple feature spaces of attributes and these spaces are usually multidimensional. The proposed approach in [15] is not general and has weaknesses lead to degenerate performance of the system. The new approach introduced in this paper overcomes all those defects and significantly improves the search performance in both concepts of CPU- and IO-cost. Our experiments on uniformly distributed data sets, which are managed by the SH-trees [6], have proven the advantages of this new approach.
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Dang, T.K., Küng, J., Wagner, R. (2002). ISA - An Incremental Hyper-sphere Approach for Efficiently Solving Complex Vague Queries. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_80
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