{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:22Z","timestamp":1750220362270,"version":"3.41.0"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T00:00:00Z","timestamp":1623715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGMOD Rec."],"published-print":{"date-parts":[[2021,6,15]]},"abstract":"<jats:p>When a data analyst runs some query to analyze her data, she often wants to ask some follow-up questions, about the result of the query. Why-questions take many shapes, and occur in many scenarios. Why is a particular tuple in the answer? Why is it not in the answer? Why is this graph decreasing? Why did we observe a sudden burst of error messages in online monitoring? Database researchers have noted the need for why-questions, and the literature contains several approaches, mostly tailored to specific applications. Despite the interest and the work in this area, there is currently no consensus of what an explanation to a query answer should be, and how one should compute it.<\/jats:p>","DOI":"10.1145\/3471485.3471503","type":"journal-article","created":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T05:22:06Z","timestamp":1623993726000},"page":"77-77","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Technical Perspective for"],"prefix":"10.1145","volume":"50","author":[{"given":"Dan","family":"Suciu","sequence":"first","affiliation":[{"name":"University of Washington, WA, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,6,17]]},"container-title":["ACM SIGMOD Record"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3471485.3471503","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3471485.3471503","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:26Z","timestamp":1750191446000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3471485.3471503"}},"subtitle":["Query Games in Databases"],"short-title":[],"issued":{"date-parts":[[2021,6,15]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,6,15]]}},"alternative-id":["10.1145\/3471485.3471503"],"URL":"https:\/\/doi.org\/10.1145\/3471485.3471503","relation":{},"ISSN":["0163-5808"],"issn-type":[{"type":"print","value":"0163-5808"}],"subject":[],"published":{"date-parts":[[2021,6,15]]},"assertion":[{"value":"2021-06-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}