{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T10:37:27Z","timestamp":1756895847211},"reference-count":9,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:p>\n            In this work, we demonstrate CaJaDE (Context-Aware Join-Augmented Deep Explanations), a system that explains query results by augmenting provenance with contextual information from other related tables in the database. Given two query results whose difference the user wants to understand, we enumerate possible ways of joining the\n            <jats:italic>provenance<\/jats:italic>\n            (i.e., contributing input tuples) of these two query results with tuples from other relevant tables in the database that were\n            <jats:italic>not<\/jats:italic>\n            used in the query. We use patterns to concisely explain the difference between the\n            <jats:italic>augmented provenance<\/jats:italic>\n            of the two query results. CaJaDE, through a comprehensive UI, enables the user to formulate questions and explore explanations interactively.\n          <\/jats:p>","DOI":"10.14778\/3554821.3554852","type":"journal-article","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T22:28:39Z","timestamp":1664490519000},"page":"3594-3597","source":"Crossref","is-referenced-by-count":4,"title":["CaJaDE"],"prefix":"10.14778","volume":"15","author":[{"given":"Chenjie","family":"Li","sequence":"first","affiliation":[{"name":"IIT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juseung","family":"Lee","sequence":"additional","affiliation":[{"name":"IIT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengjie","family":"Miao","sequence":"additional","affiliation":[{"name":"Duke University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boris","family":"Glavic","sequence":"additional","affiliation":[{"name":"IIT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sudeepa","family":"Roy","sequence":"additional","affiliation":[{"name":"Duke University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,9,29]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"The official site of the NBA. [Online","author":"National Basketball Association. 2020.","year":"2020","unstructured":"National Basketball Association. 2020. The official site of the NBA. [Online ; last accessed 10- September - 2020 ]. National Basketball Association. 2020. The official site of the NBA. [Online; last accessed 10-September-2020]."},{"key":"e_1_2_1_2_1","volume-title":"Interpretable and informative explanations of outcomes. PVDLB 8, 1","author":"Gebaly Kareem El","year":"2014","unstructured":"Kareem El Gebaly , Parag Agrawal , Lukasz Golab , Flip Korn , and Divesh Srivastava . 2014. Interpretable and informative explanations of outcomes. PVDLB 8, 1 ( 2014 ). Kareem El Gebaly, Parag Agrawal, Lukasz Golab, Flip Korn, and Divesh Srivastava. 2014. Interpretable and informative explanations of outcomes. PVDLB 8, 1 (2014)."},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1561\/1900000068"},{"key":"e_1_2_1_4_1","unstructured":"Chenjie Li Zhengjie Miao Qitian Zeng Boris Glavic and Sudeepa Roy. 2021. Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. In SIGMOD. 1051--1063. https:\/\/arxiv.org\/pdf\/2103.15797.  Chenjie Li Zhengjie Miao Qitian Zeng Boris Glavic and Sudeepa Roy. 2021. Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. In SIGMOD. 1051--1063. https:\/\/arxiv.org\/pdf\/2103.15797."},{"key":"e_1_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Zhengjie Miao Qitian Zeng Boris Glavic and Sudeepa Roy. 2019. Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. In SIGMOD. 485--502.  Zhengjie Miao Qitian Zeng Boris Glavic and Sudeepa Roy. 2019. Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. In SIGMOD. 485--502.","DOI":"10.1145\/3299869.3300066"},{"key":"e_1_2_1_6_1","unstructured":"Sudeepa Roy and Dan Suciu. 2014. A formal approach to finding explanations for database queries.  Sudeepa Roy and Dan Suciu. 2014. A formal approach to finding explanations for database queries."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/3317315.3317320"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536354.2536356"},{"key":"e_1_2_1_9_1","volume-title":"Miller","author":"Zhu Erkang","year":"2019","unstructured":"Erkang Zhu , Dong Deng , Fatemeh Nargesian , and Ren\u00e9e J . Miller . 2019 . JOSIE : Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes. In SIGMOD. 847--864. Erkang Zhu, Dong Deng, Fatemeh Nargesian, and Ren\u00e9e J. Miller. 2019. JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes. In SIGMOD. 847--864."}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3554821.3554852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T11:30:45Z","timestamp":1672227045000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3554821.3554852"}},"subtitle":["explaining query results by augmenting provenance with context"],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":9,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["10.14778\/3554821.3554852"],"URL":"https:\/\/doi.org\/10.14778\/3554821.3554852","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}