Using ontology databases for scalable query answering, inconsistency detection, and data integration.

ABSTRACT: An ontology database 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, for example, an ontology database can either unfold views at query time or propagate assertions using triggers at load time. In this paper, we use existing benchmarks to evaluate our method-using triggers-and we demonstrate that by forward computing inferences, we not only improve query time, but the improvement appears to cost only more space (not time). However, we go on to show that the true penalties were simply opaque to the benchmark, i.e., the benchmark inadequately captures load-time costs. We have applied our methods to two case studies in biomedicine, using ontologies and data from geneti

SUBMITTER: Lependu P 

PROVIDER: S-EPMC3230227 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature