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CaJaDE: Explaining Query Results by Augmenting Provenance with Context

Publication ,  Conference
Li, C; Lee, J; Miao, Z; Glavic, B; Roy, S
Published in: Proceedings of the VLDB Endowment
January 1, 2022

In this work, we demonstrate CaJaDE (Context-Aware Join-Aug-mented 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.

Duke Scholars

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Published In

Proceedings of the VLDB Endowment

DOI

EISSN

2150-8097

Publication Date

January 1, 2022

Volume

15

Issue

12

Start / End Page

3594 / 3597

Related Subject Headings

  • 4605 Data management and data science
  • 0807 Library and Information Studies
  • 0806 Information Systems
  • 0802 Computation Theory and Mathematics
 

Citation

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Li, C., Lee, J., Miao, Z., Glavic, B., & Roy, S. (2022). CaJaDE: Explaining Query Results by Augmenting Provenance with Context. In Proceedings of the VLDB Endowment (Vol. 15, pp. 3594–3597). https://doi.org/10.14778/3554821.3554852
Li, C., J. Lee, Z. Miao, B. Glavic, and S. Roy. “CaJaDE: Explaining Query Results by Augmenting Provenance with Context.” In Proceedings of the VLDB Endowment, 15:3594–97, 2022. https://doi.org/10.14778/3554821.3554852.
Li C, Lee J, Miao Z, Glavic B, Roy S. CaJaDE: Explaining Query Results by Augmenting Provenance with Context. In: Proceedings of the VLDB Endowment. 2022. p. 3594–7.
Li, C., et al. “CaJaDE: Explaining Query Results by Augmenting Provenance with Context.” Proceedings of the VLDB Endowment, vol. 15, no. 12, 2022, pp. 3594–97. Scopus, doi:10.14778/3554821.3554852.
Li C, Lee J, Miao Z, Glavic B, Roy S. CaJaDE: Explaining Query Results by Augmenting Provenance with Context. Proceedings of the VLDB Endowment. 2022. p. 3594–3597.

Published In

Proceedings of the VLDB Endowment

DOI

EISSN

2150-8097

Publication Date

January 1, 2022

Volume

15

Issue

12

Start / End Page

3594 / 3597

Related Subject Headings

  • 4605 Data management and data science
  • 0807 Library and Information Studies
  • 0806 Information Systems
  • 0802 Computation Theory and Mathematics