JOURNAL ARTICLE

Semantic query reformulation in deductive databases

Abstract

A method is proposed for identifying relevant integrity constraints (ICs) for queries involving joins/unions of base relations and defined relations by use of graphs. The method does not rely on heavy preprocessing or redundancy. To effectively select those ICs that are relevant to a given query, the relationship between the predicates in the query is identified using an AND/OR tree where an AND mode represents a join operation and an OR node represents a union operation. Ways of collecting ICs are described that are not directly related to the query but can be useful in query optimization.< >

Keywords:
Computer science Joins Query optimization Query language Information retrieval Redundancy (engineering) Preprocessor Query expansion Conjunctive query Sargable Datalog Web search query Web query classification Database Database query Base (topology) Data mining Theoretical computer science Programming language Search engine Relational database Mathematics

Metrics

17
Cited By
0.70
FWCI (Field Weighted Citation Impact)
13
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
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