Journal of the ACM (JACM)
SFCS '79 Proceedings of the 20th Annual Symposium on Foundations of Computer Science
Data Complexity of Query Answering in Expressive Description Logics via Tableaux
Journal of Automated Reasoning
Answering regular path queries in expressive description logics: an automata-theoretic approach
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Worst-case optimal conjunctive query answering for an expressive description logic without inverses
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Conjunctive query answering for the description logic SHIQ
Journal of Artificial Intelligence Research
Query Answering in Description Logics: The Knots Approach
WoLLIC '09 Proceedings of the 16th International Workshop on Logic, Language, Information and Computation
Reasoning and explanation in EL and in expressive description logics
ReasoningWeb'10 Proceedings of the 6th international conference on Semantic technologies for software engineering
SPARQL1.1: new features and friends (OWL2, RIF)
RR'10 Proceedings of the Fourth international conference on Web reasoning and rule systems
Nominals, inverses, counting, and conjunctive queries or: why infinity is your friend!
Journal of Artificial Intelligence Research
Description logic reasoning for semantic web ontologies
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Conjunctive query answering in the description logic SH using knots
Journal of Computer and System Sciences
Datalog for security, privacy and trust
Datalog'10 Proceedings of the First international conference on Datalog Reloaded
Containment of regular path queries under description logic constraints
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Query answering in the horn fragments of the description logics SHOIQ and SROIQ
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Data complexity of query answering in description logics
Artificial Intelligence
Introductions to description logics: a guided tour
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
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We study the computational complexity of conjunctive query answering w.r.t. ontologies formulated in fragments of the description logic SHIQ. Our main result is the identification of two new sources of complexity: the combination of transitive roles and role hierarchies which results in 2-EXPTIME-hardness, and transitive roles alone which result in CO-NEXPTIME-hardness. These bounds complement the existing result that inverse roles make query answering in SHIQ 2-EXPTIME-hard. We also show that conjunctive query answering with transitive roles, but without inverse roles and role hierarchies, remains in EXPTIME if the ABox is tree-shaped.