Foundations of Databases, 1995. ,
Computing least common subsumers in description logics with existential restrictions, IJCAI, 1999. ,
Computing the least common subsumer w.r.t. a background terminology, Journal of Applied Logic, vol.5, issue.3, pp.392-420, 2007. ,
DOI : 10.1016/j.jal.2006.03.002
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.8172
Building an efficient RDF store over a relational database, Proceedings of the 2013 international conference on Management of data, SIGMOD '13, 2013. ,
DOI : 10.1145/2463676.2463718
Optimizing reformulation-based query answering in RDF, EDBT, 2015. ,
DOI : 10.14778/2824032.2824093
URL : https://hal.archives-ouvertes.fr/hal-01143068
Teaching an RDBMS about ontological constraints, Proceedings of the VLDB Endowment, vol.9, issue.12, p.2016 ,
DOI : 10.14778/2994509.2994532
URL : https://hal.archives-ouvertes.fr/hal-01354592
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family, Journal of Automated Reasoning, vol.104, issue.1,2, p.39, 2007. ,
DOI : 10.1007/s10817-007-9078-x
On the decidability of query containment under constraints, Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems , PODS '98, 1998. ,
DOI : 10.1145/275487.275504
Graph-based Knowledge Representation -Computational Foundations of Conceptual Graphs, 2009. ,
URL : https://hal.archives-ouvertes.fr/lirmm-00355336
Computing least common subsumers in description logics, AAAI, 1992. ,
Defining and computing Least Common Subsumers in RDF, Web Semantics: Science, Services and Agents on the World Wide Web, vol.39, pp.62-80, 2016. ,
DOI : 10.1016/j.websem.2016.02.001
Common Subsumbers in RDF, Advances in Artificial Intelligence (AI*IA)21] J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters. In Symposium on Operating System Design and Implementation (OSDI), pp.348-359, 2004. ,
DOI : 10.1007/978-3-319-03524-6_30
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.454.1646
CliqueSquare: Flat plans for massively parallel RDF queries, 2015 IEEE 31st International Conference on Data Engineering, pp.771-782, 2015. ,
DOI : 10.1109/ICDE.2015.7113332
View selection in Semantic Web databases, Proceedings of the VLDB Endowment, vol.5, issue.2, pp.97-108, 2011. ,
DOI : 10.14778/2078324.2078326
Efficient query answering against dynamic RDF databases, Proceedings of the 16th International Conference on Extending Database Technology, EDBT '13, 2013. ,
DOI : 10.1145/2452376.2452412
LUBM: A benchmark for OWL knowledge base systems, Web Semantics: Science, Services and Agents on the World Wide Web, vol.3, issue.2-3, pp.158-182, 2005. ,
DOI : 10.1016/j.websem.2005.06.005
Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing, IEEE Transactions on Knowledge and Data Engineering, vol.23, issue.9, pp.1312-1327, 2011. ,
DOI : 10.1109/TKDE.2011.103
Incomplete information in relational databases, JACM, vol.31, issue.4, 1984. ,
Non-Standard Inferences in Description Logics, LNCS, vol.2100, 2001. ,
DOI : 10.1007/3-540-44613-3
Scaling queries over big RDF graphs with semantic hash partitioning, Proceedings of the VLDB Endowment, vol.6, issue.14, pp.1894-1905, 2013. ,
DOI : 10.14778/2556549.2556571
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.3362
AutoSPARQL: Let Users Query Your Knowledge Base, ESWC, 2011. ,
DOI : 10.1007/11926078_3
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.6546
Dbpedia -A large-scale, multilingual knowledge base extracted from wikipedia, Semantic Web, vol.6, issue.2, pp.167-195, 2015. ,
Towards Rule-Based Minimization of RDF Graphs under Constraints, RR, 2008. ,
DOI : 10.1007/978-3-540-88737-9_8
x-RDF-3X, Proceedings of the VLDB Endowment, vol.3, issue.1-2, 2010. ,
DOI : 10.14778/1920841.1920877
H 2 rdf+: an efficient data management system for big RDF graphs, SIGMOD, pp.909-912, 2014. ,
A Structural Approach to Indexing Triples, 2012. ,
DOI : 10.1007/978-3-642-30284-8_34
Redundancy Elimination on RDF Graphs in the Presence of Rules, Constraints, and Queries, Web Reasoning and Rule Systems, 2010. ,
DOI : 10.1007/978-3-642-15918-3_11
Complexity of redundancy detection on RDF graphs in the presence of rules, constraints, and queries, Semantic Web, pp.351-393, 2013. ,
A note on inductive generalization ,
A further note on inductive generalization, Machine Intelligence, vol.6, 1971. ,
Database management systems (3, 2003. ,
A Machine-Oriented Logic Based on the Resolution Principle, Journal of the ACM, vol.12, issue.1, pp.23-41, 1965. ,
DOI : 10.1145/321250.321253
WebPIE: A Web-scale Parallel Inference Engine using MapReduce, Web Semantics: Science, Services and Agents on the World Wide Web, vol.10, pp.59-75, 2012. ,
DOI : 10.1016/j.websem.2011.05.004
Scalable Distributed Reasoning Using MapReduce, ISWC, pp.634-649, 2009. ,
DOI : 10.1007/978-3-642-04930-9_40
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.7072
Hexastore, Proceedings of the VLDB Endowment, vol.1, issue.1, pp.1008-1019, 2008. ,
DOI : 10.14778/1453856.1453965
Most specific generalizations w.r.t. general EL-TBoxes, IJCAI, 2013. ,
22-rdf -syntax-ns#type ? ?X " http : //www.w3.org22-rdf -syntax-ns#type " " http : //swat.cse.lehigh.edu/onto/univ-bench.owl#GraduateStudent22-rdf -syntax-ns#type " " http : //swat.cse.lehigh.edu/onto/univ-bench.owl#F aculty http : //swat.cse.lehigh.edu/onto/univ-bench.owl#publicationAuthor " ?X, ?W " http : //swat.cse.lehigh.edu/onto/univ-bench.owl#publicationAuthor " ?Y Q7(?W, ?X, ?Y ) : ? ?X " http : //www.w3.org22-rdf -syntax-ns#type22-rdf -syntax-ns#type22-rdf -syntax-ns#type22-rdf -syntax-ns#type22-rdf -syntax-ns#typerdf -syntax-ns#typerdf -syntax-ns#type, www.w3.org, pp.6-9, 1999. ,