Publications

(2022). Understanding Queries by Conditional Instances. In SIGMOD.

PDF Link

(2021). Explanations for Data Repair Through Shapley Values. In CIKM.

PDF Link

(2021). On Optimizing the Trade-off between Privacy and Utility in Data Provenance. In SIGMOD.

PDF Link

(2021). PITA: Privacy Through Provenance Abstraction. In ICDE.

PDF Link

(2020). MuSe: Multiple Deletion Semantics for Data Repair. In PVLDB 13(12).

PDF Link

(2020). ExplainED: Explanations for EDA Notebooks. In PVLDB 13(12).

PDF Link

(2020). T-REx: Table Repair Explanations. In SIGMOD.

PDF Link

(2020). Explaining Missing Query Results in Natural Language. In EDBT.

PDF Link

(2020). Explaining Natural Language Query Results. In VLDB J. 29(1).

PDF Link

(2018). QuestPro: Queries in SPARQL Through Provenance. In PVLDB 11(12).

PDF Link

(2018). NLProveNAns: Natural Language Provenance for Non-Answers. In PVLDB 11(12).

PDF Link

(2018). Natural Language Explanations for Query Results. In SIGMOD Record 47(1), SIGMOD Research Highlight.

PDF Link

(2018). Efficient Provenance Tracking For Datalog Using Top-K Queries. In VLDB J. 27(2).

PDF Link

(2018). Interactive Inference of SPARQL Queries Using Provenance. In ICDE.

PDF Link

(2018). Provenance for Non-Experts. In IEEE Data Engineering Bulletin 41(1).

PDF Link

(2017). Provenance for Natural Language Queries. In PVLDB 10(5), Best Paper Award.

PDF Link

(2016). NLProv: Natural Language Provenance. In PVLDB 9(13).

PDF Link

(2016). QPlain: Query By Explanation. In ICDE.

PDF Link

(2015). Selective Provenance for Datalog Programs Using Top-K Queries. In PVLDB 8(12).

PDF Link

(2015). Towards web-scale how-provenance. In DESWeb.

PDF Link