JOURNAL ARTICLE

An assertion retrieval algebra for object queries over knowledge bases

Jeffrey PoundDavid TomanGrant WeddellJiewen Wu

Year: 2011 Journal:   International Joint Conference on Artificial Intelligence Pages: 1051-1056

Abstract

We consider a generalization of instance retrieval over knowledge bases that provides users with assertions in which descriptions of qualifying objects are given in addition to their identifiers. Notably, this involves a transfer of basic database paradigms involving caching and query rewriting in the context of an assertion retrieval algebra. We present an optimization framework for this algebra, with a focus on finding plans that avoid any need for general knowledge base reasoning at query execution time when sufficient cached results of earlier requests exist.

Keywords:
Computer science Assertion Information retrieval Knowledge base Identifier Rewriting Context (archaeology) Object (grammar) Focus (optics) Generalization Relational algebra Theoretical computer science Programming language Artificial intelligence Relational database Mathematics

Metrics

5
Cited By
1.63
FWCI (Field Weighted Citation Impact)
10
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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