Demo Data from VLDB 2026 / reviewers in the wild / expert
Upen S. Chakravarthy
dblp:48/5703
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorTheory of computation · 1 · 1 first-author
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
3 papers |
Query processing and optimization · 56% Database theory · 38% Database system architecture and tuning · 6% | |
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database theory
deductive database |
0.0 | 2 | 1990 | Logic-Based Approach to Semantic Query Optimization · ACM Trans. Database Syst. 1990 Multiple Query Processing in Deductive Databases using Query Graphs · VLDB 1986 |
Query processing and optimization › semantic query processing
semantic query optimization |
0.0 | 1 | 1990 | Logic-Based Approach to Semantic Query Optimization · ACM Trans. Database Syst. 1990 |
Query processing and optimization
multi-query optimization |
0.0 | 1 | 1988 | Anatomy of a Mudular Multiple Query Optimizer · VLDB 1988 |
Query processing and optimization
multiple-query processing |
0.0 | 1 | 1986 | Multiple Query Processing in Deductive Databases using Query Graphs · VLDB 1986 |
Logic in computer science
first-order logic |
0.0 | 1 | 1990 | Logic-Based Approach to Semantic Query Optimization · ACM Trans. Database Syst. 1990 |
Methods — techniques the papers use, named apart from their topics
integrity constraints · 0.0first-order logic · 0.0query graph · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Logic-Based Approach to Semantic Query OptimizationabstractThe purpose of semantic query optimization is to use semantic knowledge (e.g., integrity constraints) for transforming a query into a form that may be answered more efficiently than the original version. In several previous papers we described and proved the correctness of a method for semantic query optimization in deductive databases couched in first-order logic. This paper consolidates the major results of these papers emphasizing the techniques and their applicability for optimizing relational queries. Additionally, we show how this method subsumes and generalizes earlier work on semantic query optimization. We also indicate how semantic query optimization techniques can be extended to databases that support recursion and integrity constraints that contain disjunction, negation, and recursion. Upen S. Chakravarthy, John Grant, Jack Minker |
ACM Trans. Database Syst. | 1 |
| 1988 | Anatomy of a Mudular Multiple Query Optimizer
Arnon Rosenthal, Upen S. Chakravarthy |
VLDB | 2 |
| 1986 | Multiple Query Processing in Deductive Databases using Query Graphs
Upen S. Chakravarthy, Jack Minker |
VLDB | 1 |
| 1982 | Interfacing Predicate Logic Languages and Relational Databases
Upen S. Chakravarthy, Jack Minker |
ICLP | 1 |
| 1982 | Logic Programming on ZMOB: A Highly Parallel Machine
Upen S. Chakravarthy, Simon Kasif, Madhur Kohli, Jack Minker, D. Cao |
ICPP | 1 |