Demo Data from EDBT 2026 / reviewers in the wild / expert
Jinxin Lin
dblp:21/6939
· DBLP profile ↗
4ranked-venue papers
4as first author
0since 2021 · last 1998
0000-0002-2089-7084ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 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.
| Artificial intelligence
2 papers |
Knowledge representation and reasoning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
inconsistency handling |
0.0 | 1 | 1996 | A Semantics for Reasoning Consistently in the Presence of Inconsistency · Artif. Intell. 1996 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge engineering › knowledge integration
knowledge base integration |
0.0 | 1 | 1996 | Integration of Weighted Knowledge Bases · Artif. Intell. 1996 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › inconsistency handling › inconsistency-tolerant reasoning
paraconsistent reasoning |
0.0 | 1 | 1996 | A Semantics for Reasoning Consistently in the Presence of Inconsistency · Artif. Intell. 1996 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Merging Databases Under ConstraintsabstractThe problem of integrating information from conflicting sources comes up in many current applications, such as cooperative information systems, heterogeneous databases, and multiagent systems. We model this by the operation of merging first-order theories. We propose a formal semantics for this operation and show that it has desirable properties, including abiding by majority rule in case of conflict and syntax independence. We apply our semantics to the special case when the theories to be merged represent relational databases under integrity constraints. We then present a way of merging databases that have different or conflicting schemas caused by problems such as synonyms, homonyms or type conflicts mentioned in the schema integration literature. Jinxin Lin, Alberto O. Mendelzon |
Int. J. Cooperative Inf. Syst. | 1 |
| 1996 | A Semantics for Reasoning Consistently in the Presence of Inconsistency
Jinxin Lin |
Artif. Intell. | 1 |
| 1996 | Integration of Weighted Knowledge Bases
Jinxin Lin |
Artif. Intell. | 1 |
| 1994 | Consistent Belief Reasoning in the Presence of Inconsistency
Jinxin Lin |
TARK | 1 |