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Author Livshits, E.; Bertossi, L.; Kimefeld, B.; Sebag, M. doi  openurl
  Title 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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  ISSN 1868-8969 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000701675700007 Approved (up)  
  Call Number UAI @ eduardo.moreno @ Serial 1310  
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Author Livshits, E.; Bertossi, L.; Kimelfeld, B.; Sebag, M. openurl 
  Title 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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  Series Volume Series Issue Edition  
  ISSN 0163-5808 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000737738900017 Approved (up)  
  Call Number UAI @ alexi.delcanto @ Serial 1517  
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