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Vitaliy L. Khizder

dblp:66/7019 · DBLP profile ↗
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2ranked-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 · 2 · 2 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
Database theory · 67% Data models and query languages · 33%
Theoretical computer science
1 paper
Logic in computer science · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database theory › dependency theory
implication problem
0.012003
Reasoning about Uniqueness Constraints in Object Relational Databases · IEEE Trans. Knowl. Data Eng. 2003
Data models and query languages › object-relational database
object-relational data model
0.012003
Reasoning about Uniqueness Constraints in Object Relational Databases · IEEE Trans. Knowl. Data Eng. 2003
Database theory › integrity constraints
uniqueness constraints
0.012003
Reasoning about Uniqueness Constraints in Object Relational Databases · IEEE Trans. Knowl. Data Eng. 2003
Logic in computer science › knowledge representation and reasoning
description logic
0.012003
Reasoning about Uniqueness Constraints in Object Relational Databases · IEEE Trans. Knowl. Data Eng. 2003

Methods — techniques the papers use, named apart from their topics

description logic · 0.1decision procedure · 0.1
YearPublicationVenuePosition
2003 Reasoning about Uniqueness Constraints in Object Relational Databases
abstract
Uniqueness constraints such as keys and functional dependencies in the relational model are a core concept in information systems technology. We consider uniqueness constraints suitable for object relational data models and identify a boundary between tractable and intractable varieties. The subclass that is tractable is still a strict generalization of both keys and relational functional dependencies. We present an efficient decision procedure for the logical implication problem of this subclass. The problem itself is formulated as an implication problem for a simple dialect of description logic (DL). DLs are a family of languages for knowledge representation that have many applications in information systems technology and for which model building procedures have been developed that can decide implication problems for dialects that are very expressive. Our own procedure complements this approach and can be integrated with these earlier procedures. Finally, to motivate our results, we review some applications of our procedure in query optimization.
Vitaliy L. Khizder, Grant E. Weddell
IEEE Trans. Knowl. Data Eng.1
2001 On Decidability and Complexity of Description Logics with Uniqueness Constraints
Vitaliy L. Khizder, David Toman 0001, Grant E. Weddell
ICDT1