GraphLog: a visual formalism for real life recursion
PODS '90 Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
Journal of Automated Reasoning
Lower bounds for natural proof systems
SFCS '77 Proceedings of the 18th Annual Symposium on Foundations of Computer Science
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
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Regular path queries in expressive description logics with nominals
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
The DL-lite family and relations
Journal of Artificial Intelligence Research
Data complexity in the ƐL family of description logics
LPAR'07 Proceedings of the 14th international conference on Logic for programming, artificial intelligence and reasoning
Expressive languages for path queries over graph-structured data
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
nSPARQL: A navigational language for RDF
Web Semantics: Science, Services and Agents on the World Wide Web
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
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Conjunctive regular path queries are an expressive extension of the well-known class of conjunctive queries and have been extensively studied in the database community. Somewhat surprisingly, there has been little work aimed at using such queries in the context of description logic (DL) knowledge bases, and all existing results target expressive DLs, even though lightweight DLs are considered better-suited for data-intensive applications. This paper aims to bridge this gap by providing algorithms and tight complexity bounds for answering two-way conjunctive regular path queries over DL knowledge bases formulated in lightweight DLs of the DL-Lite and EL families.