CaJaDE

Author:

Li Chenjie1,Lee Juseung1,Miao Zhengjie2,Glavic Boris1,Roy Sudeepa2

Affiliation:

1. IIT

2. Duke University

Abstract

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 provenance (i.e., contributing input tuples) of these two query results with tuples from other relevant tables in the database that were not used in the query. We use patterns to concisely explain the difference between the augmented provenance of the two query results. CaJaDE, through a comprehensive UI, enables the user to formulate questions and explore explanations interactively.

Publisher

Association for Computing Machinery (ACM)

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Reference9 articles.

1. 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].

2. 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).

3. Data Provenance

4. 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.

5. 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.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Summarizing Provenance of Aggregate Query Results in Relational Databases;IEEE Transactions on Knowledge and Data Engineering;2023-10-01

2. Why Not Yet: Fixing a Top-k Ranking that is Not Fair to Individuals;Proceedings of the VLDB Endowment;2023-05

3. Toward interpretable and actionable data analysis with explanations and causality;Proceedings of the VLDB Endowment;2022-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3