Demo Data from VLDB 2026 / reviewers in the wild / expert
Ankit Malpani
dblp:07/7993
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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
1 paper |
Data integration and cleaning · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning › schema mapping
object-relational mapping |
0.1 | 1 | 2010 | Reverse engineering models from databases to bootstrap application development · ICDE 2010 |
Requirements engineering and software design
model-driven engineering |
0.0 | 1 | 2010 | Reverse engineering models from databases to bootstrap application development · ICDE 2010 |
Methods — techniques the papers use, named apart from their topics
pattern-finding rules · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Reverse engineering models from databases to bootstrap application developmentabstractObject-relational mapping systems have become often-used tools to provide application access to relational databases. In a database-first development scenario, the onus is on the developer to construct a meaningful object layer for the application because shipping tools, as ORM tools only ship database reverse-engineering tools that generate objects with a trivial one-to-one mapping. We built a tool, EdmGen++, that combines pattern-finding rules from conceptual modelling literature with configurable conditions that increase the likelihood that found patterns are semantically relevant. EdmGen++ produces a conceptual model with inheritance in Microsoft's Entity Data Model, which Microsoft's Entity Framework uses to support an executable object-to-relational mapping. The execution time of EdmGen++ on customer databases is reasonable for design-time. Ankit Malpani, Philip A. Bernstein, Sergey Melnik 0001, James F. Terwilliger |
ICDE | 1 |