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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/69146
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/69146


    Title: Optimizing entity join queries when data transmission cost dominates
    Authors: 陳良弼
    Tsai,Pauray S.M.;Chen,Arbee L.P.
    Contributors: 資科系
    Keywords: Entity join;Extended semijoin;Inconsistent data;Local processing;Multidatabase;Query optimization;Query transformation;Selectivity
    Date: 1997-05
    Issue Date: 2014-08-21 15:01:48 (UTC+8)
    Abstract: Heterogeneities exist in a multidatabase environment. For example, a real world entity may be differently represented in relations of different databases. In particular, keys of these relations may be incompatible. In this paper, we consider processing entity join queries when data transmission cost dominates. An entity join operation ‘integrates’ tuples representing the same entities from different relations in which inconsistent data may exist. A natural way to process the entity join is to transmit both relations to a site, resolve the possible conflicts between corresponding attributes and process the join, which is very costly. In this paper, an approach is proposed to correctly transform a global query into local subqueries to preprocess entity join queries in multiple sites with an attempt to lower the cost of data transmission. Besides, an extension of the traditional semijoin, named extended semijoin, is proposed to further reduce the cost of data transmission for entity join query processing.
    Relation: Data & Knowledge Engineering (EI), North-Holland,283-308
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

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