4 citations · 7 across the 5 of their papers we have counts for
6 papers
Efficient Query Repair for Aggregate Constraints
Shatha Algarni, Boris Glavic, Seokki Lee +1
In many real-world scenarios, query results must satisfy domain-specific constraints. For instance, a minimum percentage of interview candidates selected based on their qualificati…
To not miss the forest for the trees -- a holistic approach for explaining missing answers over nested data (extended version)
Ralf Diestelkaemper, Seokki Lee, Melanie Herschel +1
Query-based explanations for missing answers identify which operators of a query are responsible for the failure to return a missing answer of interest. This type of explanations h…
Approximate Summaries for Why and Why-not Provenance (Extended Version)
Seokki Lee, Bertram Ludaescher, Boris Glavic
Why and why-not provenance have been studied extensively in recent years. However, why-not provenance, and to a lesser degree why provenance, can be very large resulting in severe…
PUG: A Framework and Practical Implementation for Why & Why-Not Provenance (extended version)
Seokki Lee, Bertram Ludaescher, Boris Glavic
Explaining why an answer is (or is not) returned by a query is important for many applications including auditing, debugging data and queries, and answering hypothetical questions…
Debugging Transactions and Tracking their Provenance with Reenactment
Xing Niu, Bahareh Sadat Arab, Seokki Lee +6
Debugging transactions and understanding their execution are of immense importance for developing OLAP applications, to trace causes of errors in production systems, and to audit t…
Efficiently Computing Provenance Graphs for Queries with Negation
Seokki Lee, Sven Koehler, Bertram Ludaescher +1
Explaining why an answer is in the result of a query or why it is missing from the result is important for many applications including auditing, debugging data and queries, and ans…