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Jinxin Lin

dblp:21/6939 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
inconsistency handling
0.011996
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
0.011996
Integration of Weighted Knowledge Bases · Artif. Intell. 1996
Knowledge, reasoning and agents › Knowledge representation and reasoning › inconsistency handling › inconsistency-tolerant reasoning
paraconsistent reasoning
0.011996
A Semantics for Reasoning Consistently in the Presence of Inconsistency · Artif. Intell. 1996
YearPublicationVenuePosition
1998 Merging Databases Under Constraints
abstract
The 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
TARK1