Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zivojin Sustran
dblp:124/0623
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-3549-7056ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Query processing and optimization · 77% Database system architecture and tuning · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization
query rewriting |
0.8 | 1 | 2024 | Rewriting Queries for Hyper-Relations · IEEE Trans. Knowl. Data Eng. 2024 |
Database system architecture and tuning › database design › physical database design
denormalization |
0.2 | 1 | 2024 | Rewriting Queries for Hyper-Relations · IEEE Trans. Knowl. Data Eng. 2024 |
Methods — techniques the papers use, named apart from their topics
selection · 0.8nullification · 0.8incremental rewriting · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Rewriting Queries for Hyper-RelationsabstractHyper-relation is a recently proposed formal concept for denormalization of relational databases. Hyper-relations are structures of prejoined relations the schema of which can be represented as a hyper-graph. Instead of entire relations of the tables in the initial normalized schema, hyper-relations prejoin their atomic constituents called base relations, and do that with only those base relations that are really used in the queries being optimized. In this paper, we derive a simple and efficient algorithm for rewriting queries for hyper-relations. The algorithm is based on incremental rewriting procedure that traverses the query expression tree and builds up the transformed query by seamlessly propagating the proposed$\Sigma$operator, composed of selection and nullification of the tuples in a hyper-relation. The algorithm is applicable to a wide range of multiblock (nested) select-project-(outer) join queries. Dragan Milicev, Zivojin Sustran |
IEEE Trans. Knowl. Data Eng. | 2 |