On the complexity of view update analysis and its application to annotation propagation
This paper investigates three problems identified in [1] for annotation propagation, namely, the view side-effect, source side-effect, and annotation placement problems. Given annotations entered for a tuple or an attribute in a view, these problems ask what tuples or attributes in the source have t...
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sg-ntu-dr.10356-988802020-05-28T07:18:22Z On the complexity of view update analysis and its application to annotation propagation Cong, Gao Fan, Wenfei Geerts, Floris Li, Jianzhong Luo, Jizhou School of Computer Engineering DRNTU::Engineering::Computer science and engineering This paper investigates three problems identified in [1] for annotation propagation, namely, the view side-effect, source side-effect, and annotation placement problems. Given annotations entered for a tuple or an attribute in a view, these problems ask what tuples or attributes in the source have to be annotated to produce the view annotations. As observed in [1], these problems are fundamental not only for data provenance but also for the management of view updates. For an annotation attached to a single existing tuple in a view, it has been shown that these problems are often intractable even for views defined in terms of simple SPJU queries [1]. We revisit these problems by considering several dichotomies: (1) views defined in various subclasses of SPJU, versus SPJU views under a practical key preserving condition; (2) annotations attached to existing tuples in a view versus annotations on tuples to be inserted into the view; and (3) a single-tuple annotation versus a group of annotations. We provide a complete picture of intractability and tractability for the three problems in all these settings. We show that key preserving views often simplify the propagation analysis. Indeed, some problems become tractable for certain key preserving views, as opposed to the intractability of their counterparts that are not key preserving. However, group annotations often make the analysis harder. In addition, the problems have quite diverse complexity when annotations are attached to existing tuples in a view and when they are entered for tuples to be inserted into the view. 2013-09-16T07:22:58Z 2019-12-06T20:00:46Z 2013-09-16T07:22:58Z 2019-12-06T20:00:46Z 2012 2012 Journal Article Cong, G., Fan, W., Geerts, F., Li, J., & Luo, J. (2012). On the Complexity of View Update Analysis and Its Application to Annotation Propagation. IEEE Transactions on Knowledge and Data Engineering, 24(3), 506-519. 1041-4347 https://hdl.handle.net/10356/98880 http://hdl.handle.net/10220/13488 10.1109/TKDE.2011.27 en IEEE transactions on knowledge and data engineering © 2012 IEEE |
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DRNTU::Engineering::Computer science and engineering Cong, Gao Fan, Wenfei Geerts, Floris Li, Jianzhong Luo, Jizhou On the complexity of view update analysis and its application to annotation propagation |
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This paper investigates three problems identified in [1] for annotation propagation, namely, the view side-effect, source side-effect, and annotation placement problems. Given annotations entered for a tuple or an attribute in a view, these problems ask what tuples or attributes in the source have to be annotated to produce the view annotations. As observed in [1], these problems are fundamental not only for data provenance but also for the management of view updates. For an annotation attached to a single existing tuple in a view, it has been shown that these problems are often intractable even for views defined in terms of simple SPJU queries [1]. We revisit these problems by considering several dichotomies: (1) views defined in various subclasses of SPJU, versus SPJU views under a practical key preserving condition; (2) annotations attached to existing tuples in a view versus annotations on tuples to be inserted into the view; and (3) a single-tuple annotation versus a group of annotations. We provide a complete picture of intractability and tractability for the three problems in all these settings. We show that key preserving views often simplify the propagation analysis. Indeed, some problems become tractable for certain key preserving views, as opposed to the intractability of their counterparts that are not key preserving. However, group annotations often make the analysis harder. In addition, the problems have quite diverse complexity when annotations are attached to existing tuples in a view and when they are entered for tuples to be inserted into the view. |
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School of Computer Engineering |
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School of Computer Engineering Cong, Gao Fan, Wenfei Geerts, Floris Li, Jianzhong Luo, Jizhou |
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Article |
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Cong, Gao Fan, Wenfei Geerts, Floris Li, Jianzhong Luo, Jizhou |
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Cong, Gao |
title |
On the complexity of view update analysis and its application to annotation propagation |
title_short |
On the complexity of view update analysis and its application to annotation propagation |
title_full |
On the complexity of view update analysis and its application to annotation propagation |
title_fullStr |
On the complexity of view update analysis and its application to annotation propagation |
title_full_unstemmed |
On the complexity of view update analysis and its application to annotation propagation |
title_sort |
on the complexity of view update analysis and its application to annotation propagation |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/98880 http://hdl.handle.net/10220/13488 |
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1681056869078007808 |