EDBT 2026 Demo / reviewers in the wild / expert
KayLiang Ong
dblp:50/3430
· DBLP profile ↗
5ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1
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% |
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
enterprise information integration |
0.0 | 1 | 1995 | Carnot and InfoSleuth: Database Technology and the World Wide Web · SIGMOD Conference 1995 |
Data integration and cleaning
web data integration |
0.0 | 1 | 1995 | Carnot and InfoSleuth: Database Technology and the World Wide Web · SIGMOD Conference 1995 |
Methods — techniques the papers use, named apart from their topics
web integration · 0.0database technology · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | The Deductive Database System LDL++abstractThis paper describes the [Lscr ][Dscr ][Lscr ]++ system and the research advances that have enabled its design and development. We begin by discussing the new nonmonotonic and nondeterministic constructs that extend the functionality of the [Lscr ][Dscr ][Lscr ]++ language, while preserving its model-theoretic and fixpoint semantics. Then, we describe the execution model and the open architecture designed to support these new constructs and to facilitate the integration with existing DBMSs and applications. Finally, we describe the lessons learned by using [Lscr ][Dscr ][Lscr ]++ on various tested applications, such as middleware and datamining. Faiz Arni, KayLiang Ong, Shalom Tsur, Haixun Wang, Carlo Zaniolo |
Theory Pract. Log. Program. | 2 |
| 1997 | The Carnot Heterogeneous Database Project: Implemented Applications
Munindar P. Singh, Philip Cannata, Michael N. Huhns, Nigel Jacobs, Tomasz Ksiezyk, KayLiang Ong, Amit P. Sheth, Christine Tomlinson, Darrell Woelk |
Distributed Parallel Databases | 6 |
| 1996 | A decision support system for bureaucratic policy administration: An abductive logic programming approach
KayLiang Ong, Ronald M. Lee |
Decis. Support Syst. | 1 |
| 1995 | A Deductive Database Solution to Intelligent Information Retrieval from Legacy Databases
KayLiang Ong, Natraj Arni, Christine Tomlinson, C. Unnikrishnan, Darrell Woelk |
DASFAA | 1 |
| 1995 | Carnot and InfoSleuth: Database Technology and the World Wide WebabstractNo abstract available. Darrell Woelk, William Bohrer, Nigel Jacobs, KayLiang Ong, Christine Tomlinson, C. Unnikrishnan |
SIGMOD Conference | 4 |