Ontology Database System and Triggers

An ontology database system is a basic relational database management system that models an ontology plus its instances. To reason over the transitive closure of instances in the subsumption hierarchy, an ontology database can either unfold views at query time or propagate assertions using triggers...

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Bibliographic Details
Published inAdvances in Intelligent Data Analysis XII pp. 416 - 426
Main Authors Tzacheva, Angelina A., Toland, Tyrone S., Poole, Peyton H., Barnes, Daniel J.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2013
SeriesLecture Notes in Computer Science
Subjects
Database Management System
Description Logic
Integrity Constraint
Query Performance
Query Time
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Summary:An ontology database system is a basic relational database management system that models an ontology plus its instances. To reason over the transitive closure of instances in the subsumption hierarchy, an ontology database can either unfold views at query time or propagate assertions using triggers at load time. In this paper, we present a method to embed ontology knowledge into a relational database through triggers. We demonstrate that by forward computing inferences, we improve query time. We find that: first, ontology database systems scale well for small and medium sized ontologies; and second, ontology database systems are able to answer ontology-based queries deductively; We apply this method to a Glass Identification Ontology, and discuss applications in Neuroscience.
ISBN:3642413978
9783642413971
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-41398-8_36