PODS '87 Proceedings of the sixth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
The Description Logic Handbook
The Description Logic Handbook
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
Journal of Automated Reasoning
Reasoning in Description Logics by a Reduction to Disjunctive Datalog
Journal of Automated Reasoning
Approximating OWL-DL ontologies
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
SPARQL beyond subgraph matching
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
SPARQL query answering over OWL ontologies
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
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Query answering is a key reasoning task for many ontology based applications in the Semantic Web. Unfortunately for OWL, the worst case complexity of query answering is very high. That is why, when the schema of an ontology is written in a highly expressive language like OWL 2 DL, currently used query answering systems do not find all answers to queries posed over the ontology, i.e., they are incomplete. In this paper optimizations are discussed that may make query answering over expressive languages feasible in practice. These optimizations mostly focus on the use of traditional database techniques that will be adapted to be applicable to knowledge bases. Moreover, caching techniques and a form of progressive query answering are also explored.