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view determinacy for preserving selected information in data transformations
Fan Wenfei ; Geerts Floris ; Zheng Lixiao
刊名Information Systems
2011
页码-
ISSN号3064379
英文摘要When transforming data one often wants certain information in the data source to be preserved, i.e.,we identify parts of the source data and require these parts to be transformed without loss of information. We characterize the preservation of selected information in terms of the notions of invertibility and query preservation, in a setting when transformations are specified as a view V (a set of queries), and source information is selected by a query Q. We investigate the problem for determining whether transformations V preserve the information selected by Q. (1) We show that the notion of invertibility coincides with view determinacy studied for query rewriting. (2) We establish the undecidability of the problem when either Q or V is in DATALOG or first-order logic, for invertibility and query preservation. (3) When Q and V are conjunctive queries (CQ), the problem is as hard as view determinacy for CQ queries and CQ views, an open problem. Nevertheless, we provide complexity bounds of the problem, either in ptime or np-complete, when V ranges over subclasses of CQ (i.e.,SP, SC, PC), and when Q is assumed to be a minimal CQ query or not. (4) We show that CQ is complete for L - to - CQ rewriting when L is SP, SC or PC, i.e.,every CQ query can be rewritten in terms of SP, SC or PC views using a query in CQ. © 2011 Elsevier Ltd. All rights reserved.
收录类别EI
语种英语
WOS记录号WOS:000296991000001
公开日期2011-10-10
内容类型期刊论文
源URL[http://124.16.136.157/handle/311060/13987]  
专题软件研究所_软件所图书馆_期刊论文
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GB/T 7714
Fan Wenfei,Geerts Floris,Zheng Lixiao. view determinacy for preserving selected information in data transformations[J]. Information Systems,2011:-.
APA Fan Wenfei,Geerts Floris,&Zheng Lixiao.(2011).view determinacy for preserving selected information in data transformations.Information Systems,-.
MLA Fan Wenfei,et al."view determinacy for preserving selected information in data transformations".Information Systems (2011):-.
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