Aggregate queries over ontologies

Answering queries over ontologies is an important issue for the Semantic Web. Aggregate queries were widely studied for relational databases but almost no results are known for aggregate queries over ontologies. In this work we investigate the latter problem. We propose syntax and semantics for epistemic aggregate queries over ontologies and study query answering for MAX, MIN, COUNT, CNTD, SUM, AVG queries for an ontology language DL-LiteA. Categories and Subject Descriptors H.2.3 [Languages]: Query languages; H.4 [Information Systems Applications]: Miscellaneous General Terms Syntax, Semantics, Algorithms Keywords Aggregate Queries, Incomplete Information, Ontology Languages, Description Logic

• Type: Conference
• Year: 2008
• Where: CIKM
• Authors: Diego Calvanese, Evgeny Kharlamov, Werner Nutt, Camilo Thorne
• Keywords: Aggregate Queries, CIKM 2008, Epistemic Aggregate Queries, Information Management, Keywords Aggregate Queries