JOURNAL ARTICLE

Complexity of Approximate Query Answering under Inconsistency in Datalog+/-

Abstract

Several semantics have been proposed to query inconsistent ontological knowledge bases, including the intersection of repairs and the intersection of closed repairs as two approximate inconsistency-tolerant semantics. In this paper, we analyze the complexity of conjunctive query answering under these two semantics for a wide range of Datalog+/- languages. We consider both the standard setting, where errors may only be in the database, and the generalized setting, where also the rules of a Datalog+/- knowledge base may be erroneous.

Keywords:
Datalog Conjunctive query Computer science Intersection (aeronautics) Semantics (computer science) Query language Knowledge base Theoretical computer science Base (topology) Deductive database Information retrieval Programming language Query optimization Range (aeronautics) Database Artificial intelligence Mathematics Relational database

Metrics

16
Cited By
2.18
FWCI (Field Weighted Citation Impact)
29
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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