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