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Author Livshits, E.; Bertossi, L.; Kimelfeld, B.; Sebag, M.
Title (up) Query Games in Databases Type
Year 2021 Publication Sigmod Record Abbreviated Journal Sigmod Rec.
Volume 50 Issue 1 Pages 78-85
Keywords RESPONSIBILITY; ANSWERS; BLAME
Abstract Database tuples can be seen as players in the game of jointly realizing the answer to a query. Some tuples may contribute more than others to the outcome, which can be a binary value in the case of a Boolean query, a number for a numerical aggregate query, and so on. To quantify the contributions of tuples, we use the Shapley value that was introduced in cooperative game theory and has found applications in a plethora of domains. Specifically, the Shapley value of an individual tuple quantifies its contribution to the query. We investigate the applicability of the Shapley value in this setting, as well as the computational aspects of its calculation in terms of complexity, algorithms, and approximation.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0163-5808 ISBN Medium
Area Expedition Conference
Notes WOS:000737738900017 Approved
Call Number UAI @ alexi.delcanto @ Serial 1517
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Author Livshits, E.; Bertossi, L.; Kimefeld, B.; Sebag, M.
Title (up) The Shapley Value of Tuples in Query Answering Type
Year 2021 Publication Logical Methods in Computer Science Abbreviated Journal Log. Methods Comput. Sci.
Volume 17 Issue 3 Pages 22
Keywords Shapley value; query answering; conjunctive queries; aggregate queries
Abstract We investigate the application of the Shapley value to quantifying the contribution of a tuple to a query answer. The Shapley value is a widely known numerical measure in cooperative game theory and in many applications of game theory for assessing the contribution of a player to a coalition game. It has been established already in the 1950s, and is theoretically justified by being the very single wealth-distribution measure that satisfies some natural axioms. While this value has been investigated in several areas, it received little attention in data management. We study this measure in the context of conjunctive and aggregate queries by defining corresponding coalition games. We provide algorithmic and complexity-theoretic results on the computation of Shapley-based contributions to query answers; and for the hard cases we present approximation algorithms.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1868-8969 ISBN Medium
Area Expedition Conference
Notes WOS:000701675700007 Approved
Call Number UAI @ eduardo.moreno @ Serial 1310
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