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.. .. Summary,

P. Timelist and M. .. Results, , p.89

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, SELECT ?y ?x WHERE 6 { 7 ?x rdf : type ub : Course . 8 ?x ub : name ?y

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D. Anicic, Stream Reasoning and Complex Event Processing in ETALIS, In: Semant. web, vol.3, pp.397-407, 2012.

A. Arasu, STREAM: The Stanford Data Stream Management System, vol.641, p.8090, 2004.
DOI : 10.1007/978-3-540-28608-0_16

M. Atre, Loaded: A Scalable Lightweight Join Query Processor for RDF Data, Proceedings of the 19th International Conference on World Wide Web. WWW '10, pp.41-50, 2010.

B. Babcock, Models and Issues in Data Stream Systems, Proceedings of the Twenty-first ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems. PODS '02, pp.1-16, 2002.
DOI : 10.1145/543613.543615
URL : http://infolab.usc.edu/csci599/Fall2002/paper/DML2_streams-issues.pdf

S. Babu, Adaptive caching for continuous queries, 21st International Conference on Data Engineering (ICDE'05, pp.118-129, 2005.
DOI : 10.1109/icde.2005.15

D. F. Barbieri, An Execution Environment for, Proceedings of the 13th International Conference on Extending Database Technology. EDBT '10, pp.441-452, 2010.

D. F. Barbieri, Querying RDF Streams with C-SPARQL, SIGMOD Rec, vol.39, pp.20-26, 2010.
DOI : 10.1145/1860702.1860705

H. R. Bazoobandi, A Compact In-Memory Dictionary for RDF Data, pp.205-220, 2015.

M. Becchi and P. Crowley, Ecient Regular Expression Evaluation: Theory to Practice, Proceedings of the 4th ACM/IEEE Symposium on Architectures for Networking and Communications Systems. ANCS '08
DOI : 10.1145/1477942.1477950

, , vol.isbn, pp.978-979, 2008.

S. Roger, H. Barga, and . Caituiro-monge, Event Correlation and Pattern Detection in CEDR, In: EDBT Workshops. Ed. by Torsten Grust et al, vol.4254, 2006.

B. Babcock, M. Datar, and R. Motwani, Load Shedding in Data Stream Systems, Data Streams: Models and Algorithms". In: ed. by Charu C. Aggarwal, pp.127-147, 2007.

F. Bry and M. Eckert, Rule-Based Composite Event Queries: The Language XChangeEQ and its Semantics, Proceedings of First International Conference on Web Reasoning and Rule Systems, vol.4524, pp.7-8, 2007.

A. Bolles, M. Grawunder, and J. Jacobi, Streaming SPARQL -Extending SPARQL to Process Data Streams, The Semantic Web: Research and Applications: 5th European Semantic Web Conference, pp.448-462, 2008.
DOI : 10.1007/978-3-540-68234-9_34
URL : https://link.springer.com/content/pdf/10.1007%2F978-3-540-68234-9_34.pdf

M. Bienvenu, Ontology-Based Data Access: A Study Through Disjunctive Datalog, CSP, and MMSNP, In: ACM Trans. Database Syst, vol.39, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01117583

C. Bizer, DBpedia -A Crystallization Point for the Web of Data, Web Semant, vol.7, issue.3, pp.154-165, 2009.

J. Broekstra, A. Kampman, and F. Van-harmelen, Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema, Proceedings of the First International Semantic Web Conference on The Semantic Web. ISWC '02, vol.isbn, pp.3-540, 2002.

T. Berners-lee, Linked Data. W3C Design Issues

T. Berners-lee, In: Technical report, European Organisation for Nuclear Research, 1980.

T. Berners-lee, A Brief History of the Web. W3C Design Issues, Online Article, 1993.

T. Berners-lee, Semantic Web Road map, Online Article, 1998.

I. Botan, SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems, International Conference on Very Large Data Bases (VLDB'10), 2010.

V. Braverman, Clustering Problems on Sliding Windows, Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms. SODA '16, pp.978-979, 2016.

L. Brenna, Cayuga: A High-performance Event Processing Engine, Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data. SIGMOD '07, pp.1100-1102, 2007.

L. Brenna, Distributed Event Stream Processing with Non-deterministic Finite Automata, Proceedings of the Third ACM International Conference on Distributed Event-Based Systems. DEBS '09, vol.3, 2009.

F. Bry, Evolution of Distributed Web Data: An Application of the Reactive Language XChange, Proceedings of IEEE 23rd International Conference on Data Engeneering, pp.15-20, 2007.

H. Michael, R. T. Böhlen, M. D. Snodgrass, and . Soo, Coalescing in Temporal Databases, Proceedings of the 22th International Conference on Very Large Data Bases. VLDB '96, pp.180-191, 1996.

T. Bernhardt and A. Vasseur, ESPER-complex event processing, Online Article, 2010.

D. Calvanese, Tractable Reasoning and Ecient Query Answering in Description Logics: The DL-Lite Family, J. Autom. Reason, vol.39, issue.3, pp.168-7433, 2007.

J. J. Carroll, Jena: Implementing the Semantic Web Recommendations, Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers &Amp; Posters. WWW Alt. '04, pp.74-83, 2004.

J. Calbimonte, O. Corcho, and A. J. Gray, Enabling Ontology-based Access to Streaming Data Sources, Proceedings of the 9th International Semantic Web Conference on The Semantic Web -Volume Part I. ISWC'10, pp.978-981, 2010.

K. Clark, L. Feigenbaum, and E. Torres, SPARQL Protocol for RDF. World Wide Web Consortium, Recommendation, 2008.

S. Chandrasekaran, TelegraphCQ: Continuous Dataflow Processing, Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data. SIGMOD '03, pp.668-668, 2003.

S. Chakravarthy, Composite Events for Active Databases: Semantics, Contexts and Detection, Proceedings of the 20th International Conference on Very Large Data Bases. VLDB '94, pp.606-617, 1994.

S. Chakravarthy, ECA Rule Integration into an OODBMS: Architecture and Implementation, Proceedings of the Eleventh International Conference on Data Engineering. ICDE '95, pp.341-348, 1995.

S. Chakravarthy, Sentinel: An Object-oriented DBMS with Event-based Rules, Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data. SIGMOD '97, pp.572-575, 1997.

J. Carlson and B. Lisper, An Event Detection Algebra for Reactive Systems, Proceedings of the 4th ACM International Conference on Embedded Software. EMSOFT '04, pp.147-154, 2004.

G. Cugola and A. Margara, Processing Flows of Information: From Data Stream to Complex Event Processing, ACM Comput. Surv, vol.44, issue.3, 2012.

J. Calbimonte, J. Mora, and Ó. Corcho, Query Rewriting in RDF Stream Processing, The Semantic Web. Latest Advances and New Domains -13th International Conference, pp.486-502, 2016.
DOI : 10.1007/978-3-319-34129-3_30
URL : https://infoscience.epfl.ch/record/218546/files/query-rewriting-rdf(3).pdf

S. Chaudhuri and V. Narasayya, Self-tuning Database Systems: A Decade of Progress, Proceedings of the 33rd International Conference on Very Large Data Bases. VLDB '07, pp.3-14, 2007.

G. Cormode, Sketch techniques for approximate query processing, Synposes for Approximate Query Processing: Samples, Histograms, Wavelets and Sketches, Foundations and Trends in Databases, 2011.

C. Cranor, Gigascope: High Performance Network Monitoring with an SQL Interface, Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data. SIGMOD '02, pp.623-623, 2002.

C. Cranor, Gigascope: A Stream Database for Network Applications, Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data. SIGMOD '03, pp.647-651, 2003.

R. Cyganiak, D. Wood, and M. Lanthaler, RDF 1.1 Concepts and Abstract Syntax, 2014.

G. Das, Ad-hoc Top-k Query Answering for Data Streams, Proceedings of the 33rd International Conference on Very Large Data Bases. VLDB '07, pp.183-194, 2007.

D. Dell and &. Aglio, RSP-QL Semantics: A Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems, Int. J. Semant. Web Inf. Syst, vol.10, pp.1552-6283, 2014.

N. Dindar, P. M. Fischer, and N. Tatbul, DejaVu: A Complex Event Processing System for Pattern Matching over Live and Historical Data Streams, Proceedings of the 5th ACM International Conference on Distributed Event-based System. DEBS '11, 2011.

A. Das, J. Gehrke, and M. Riedewald, Approximate Join Processing over Data Streams, Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data. SIGMOD '03, pp.40-51, 2003.
DOI : 10.1145/872757.872765
URL : http://www.cs.cornell.edu/johannes/papers/2003/sigmod2003-loadShedding.pdf

J. Duggan, The BigDAWG Polystore System, SIGMOD Rec, vol.44, pp.11-16, 2015.

E. Valle, A First Step Towards Stream Reasoning, Future Internet -FIS 2008: First Future Internet Symposium, 2008.

A. Vienna, Revised Selected Papers, pp.72-81, 2008.

M. Eckert, A CEP Babelfish: Languages for Complex Event Processing and Querying Surveyed, Sven Helmer, Alexandra Poulovassilis, and Fatos Xhafa, pp.47-70, 2011.
DOI : 10.1007/978-3-642-19724-6_3

O. Erling, The LDBC Social Network Benchmark: Interactive Workload, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. SIGMOD '15, pp.619-630, 2015.

P. Th and . Eugster, The Many Faces of Publish/Subscribe, In: ACM Comput. Surv, vol.35, issue.2, pp.114-131, 2003.

P. Fodor, D. Anicic, and S. Rudolph, Results on Out-ofOrder Event Processing, Practical Aspects of Declarative Languages: 13th International Symposium, 2011.
DOI : 10.1007/978-3-642-18378-2_18

H. Berlin, , vol.isbn, pp.978-981, 2011.

C. L. Forgy, Chap. Rete: A Fast Algorithm for the Many Pattern/Many Object Pattern Match Problem, pp.0-8186, 1990.

M. J. Franklin, Continuous Analytics: Rethinking Query Processing in a Network-Eect World, CIDR 2009, Fourth Biennial Conference on Innovative Data Systems Research, 2009.

I. Galpin, Comprehensive Optimization of Declarative Sensor Network Queries, Proceedings of the 21st International Conference on Scientific and Statistical Database Management. SSDBM, pp.339-360, 2009.

S. Gatziu and K. R. Dittrich, Detecting composite events in active database systems using Petri nets, Proceedings Fourth International Workshop on, pp.2-9, 1994.

C. Ge, Indexing Bi-temporal Windows, Proceedings of the 27th International Conference on Scientific and Statistical Database Management. SSDBM '15, vol.19, 2015.

S. Gatziu, H. Fritschi, and A. Vaduva, SAMOS an Active ObjectOriented Database System: Manual, 1996.

L. Golab, S. Garg, M. Tamer, and . Özsu, On Indexing Sliding Windows over Online Data Streams, Advances in Database Technology -EDBT 2004: 9th International Conference on Extending Database Technology, pp.712-729, 2004.

M. Thanaa and . Ghanem, Supporting Views in Data Stream Management Systems, In: ACM Trans. Database Syst, vol.35, issue.1, 2008.

C. Gutierrez, C. Hurtado, and A. Vaisman, Temporal RDF, The Semantic Web: Research and Applications: Second European Semantic Web Conference, pp.93-107, 2005.

A. C. Gilbert, Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries, Proceedings of the 27th International Conference on Very Large Data Bases. VLDB '01, pp.79-88, 2001.

S. Gillani, Top-K Queries in RDF Graph-based Stream Processing with Actors, Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems. DEBS '15, pp.293-300, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01170923

N. H. Gehani, H. V. Jagadish, and O. Shmueli, Event Specification in an Active Object-oriented Database, Proceedings of the 1992 ACM SIGMOD International Conference on Management of Data. SIGMOD '92

, , pp.81-90, 1992.

H. Narain, H. V. Gehani, O. Jagadish, and . Shmueli, Composite Event Specification in Active Databases: Model &Amp; Implementation, Proceedings of the 18th International Conference on Very Large Data Bases. VLDB '92, pp.1-55860, 1992.

S. Guha and N. Koudas, Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation, In: ICDE. Ed. by Rakesh Agrawal and Klaus R. Dittrich. IEEE Computer Society, pp.567-576, 2002.

F. Syed-gillani, G. Laforest, and . Picard, A Generic Ontology for Prosumer-Oriented Smart Grid, EDBT/ICDT Workshops, pp.134-139, 2014.

F. Syed-gillani, G. Laforest, and . Picard, A Generic Ontology for Prosumer-Oriented Smart Grid, Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), pp.134-139, 2014.

S. Guha and A. Mcgregor, Approximate Quantiles and the Order of the Stream, Proceedings of the Twenty-fifth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems. PODS '06, pp.273-279, 2006.

L. Golab and M. Özsu, Issues in Data Stream Management, SIGMOD Rec, vol.32, pp.163-5808, 2003.

Y. Guo, Z. Pan, and J. Heflin, LUBM: A Benchmark for OWL Knowledge Base Systems, Web Semant. 3, vol.2, issue.3, pp.1570-8268, 2005.

S. Gillani, G. Picard, and F. Laforest, IntelSCEP: Towards an Intelligent Semantic Complex Event Processing Framework for ProsumerOriented SmartGrid, Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing. IWWISS '14, vol.23, pp.1-23, 2014.
URL : https://hal.archives-ouvertes.fr/emse-01059535

S. Gillani, G. Picard, and F. Laforest, Continuous Graph Pattern Matching over Knowledge Graph Streams, Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems. DEBS '16, pp.214-225, 2016.
DOI : 10.1145/2933267.2933306
URL : https://hal.archives-ouvertes.fr/hal-01310915

S. Gillani, G. Picard, and F. Laforest, DIONYSUS: Towards Query-aware Distributed Processing of RDF Graph Streams, Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01288723

S. Gillani, G. Picard, and F. Laforest, SPECTRA: Continuous Query Processing for RDF Graph Streams Over Sliding Windows, Proceedings of the 28th International Conference on Scientific and Statistical Database Management. SSDBM '16, vol.17, pp.1-17, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01319137

F. Grandi, T-SPARQL: a TSQL2-like temporal query language for RDF, In International Workshop on on Querying Graph Structured Data, pp.21-30, 2010.

S. Gurajada, TriAD: A Distributed Shared-nothing RDF Engine Based on Asynchronous Message Passing, Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. SIGMOD '14, pp.289-300, 2014.

M. Hammad, Ecient Execution of Sliding-Window Queries Over Data Streams, 2003.

A. Harth and S. Decker, Optimized Index Structures for Querying RDF from the Web, pp.71-80, 2005.

T. Heinze, Latency-aware Elastic Scaling for Distributed Data Stream Processing Systems, Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems. DEBS '14, pp.13-22, 2014.
DOI : 10.1145/2611286.2611294

M. Hentschel, Scalable Data Integration by Mapping Data to Queries, p.26, 2009.

J. Hayes and C. Gutierrez, Bipartite Graphs as Intermediate Model for RDF, The Semantic Web -ISWC 2004: Third International Semantic Web Conference, pp.47-61, 2004.
DOI : 10.1007/978-3-540-30475-3_5
URL : http://www.dcc.uchile.cl/~cgutierr/ftp/bipartite.pdf

A. Hogan, Everything you always wanted to know about blank nodes, Web Semantics: Science, Services and Agents on the World Wide Web, pp.1570-8268, 2013.
DOI : 10.2139/ssrn.3199109

A. Hinze and A. Voisard, A parameterized algebra for event notification services, Proceedings.Ninth International Symposium on, pp.61-63, 2002.

R. Jayant, T. M. Haritsa, and . Vijayaraman, Advances in Data Management 2005, Proceedings of the Eleventh International Conference on Management of Data, 2005.

S. Idreos, Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-memory Column-stores, Proc. VLDB Endow, vol.4, pp.2150-8097, 2011.

S. Idreos, M. L. Kersten, and S. Manegold, Updating a Cracked Database, Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data. SIGMOD '07, pp.413-424, 2007.
DOI : 10.1145/1247480.1247527

K. Jensen, An Introduction to the Theoretical Aspects of Coloured Petri Nets, A Decade of Concurrency, Reflections and Perspectives, pp.230-272, 1994.

R. Kallman, H-store: A High-performance, Distributed Main Memory Transaction Processing System, Proc. VLDB Endow, vol.1, pp.2150-8097, 2008.

A. Kammoun, High Performance Top-k Processing of Non-linear Windows over Data Streams, Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems. DEBS '16, pp.293-300, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01377269

S. Komazec, D. Cerri, and D. Fensel, Sparkwave: Continuous Schema-enhanced Pattern Matching over RDF Data Streams, Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems. DEBS '12, pp.58-68, 2012.

M. Bruce, V. Kapron, B. King, and . Mountjoy, Dynamic graph connectivity in polylogarithmic worst case time, In: SODA, pp.1131-1142, 2013.

J. Kang, J. F. Naughton, and S. Viglas, Evaluating Window Joins over Unbounded Streams, pp.341-352, 2004.

A. Kozlenkov, Chap. Prova: Rule-Based Java Scripting for Distributed Web Applications: A Case Study in Bioinformatics, Current Trends in Database Technology -EDBT 2006: EDBT 2006 Workshops PhD, pp.899-908, 2006.

J. Krämer and B. Seeger, Semantics and Implementation of Continuous Sliding Window Queries over Data Streams

, Database Syst, vol.34, issue.1, pp.362-5915, 2009.

J. Krämer and B. Seeger, Semantics and Implementation of Continuous Sliding Window Queries over Data Streams, ACM Trans. Database Syst, vol.34, p.49, 2009.

R. Kowalski and M. Sergot, A Logic-based Calculus of Events, New Gen. Comput. 4.1, pp.288-3635, 1986.

M. Kifer and V. S. Subrahmanian, Theory of generalized annotated logic programming and its applications**A preliminary report on this research has appeared in, In: The Journal of Logic Programming, vol.34, issue.92, p.90007, 1992.

F. Liu and S. Blanas, Forecasting the Cost of Processing Multijoin Queries via Hashing for Main-memory Databases, pp.153-166, 2015.

J. Letchner, Approximation trade-os in Markovian stream processing: An empirical study, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), pp.936-939, 2010.

E. Liarou, R. Goncalves, and S. Idreos, Exploiting the Power of Relational Databases for Ecient Stream Processing, Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology. EDBT '09. Saint, pp.323-334, 2009.

M. Li, Event Stream Processing with Out-of-Order Data Arrival, Distributed Computing Systems Workshops, 2007. ICDCSW '07. 27th International Conference on, pp.67-67, 2007.

J. Li, Out-of-order Processing: A New Architecture for High-performance Stream Systems, Proc. VLDB Endow, vol.1, pp.2150-8097, 2008.

G. Lausen, B. Ludäscher, and W. May, Invited Surveys and Selected Papers, Transactions and Change in Logic Databases: International Seminar on Logic Databases and the Meaning of Change Schloss Dagstuhl, pp.69-106, 1996.

D. Le-phuoc, A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data, Proceedings of the 10th International Conference on The Semantic Web -Volume Part I. ISWC'11

G. Bonn, , pp.370-388, 2011.

C. David and . Luckham, The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems, p.201727897, 2001.

Y. Law, H. Wang, and C. Zaniolo, Query Languages and Data Models for Database Sequences and Data Streams, Very Large Data Bases (VLDB), pp.492-503, 2004.

J. Mora and O. Corcho, Engineering Optimisations in Query Rewriting for OBDA, Proceedings of the 9th International Conference on Semantic Systems. I-SEMANTICS '13, pp.41-48, 2013.

D. Moreto and M. Endler, Evaluating composite events using shared trees, IEE Proceedings -Software, vol.148, 2001.

J. Meehan, S-Store: Streaming Meets Transaction Processing, Proc. VLDB Endow. 8.13, pp.2150-8097, 2015.

D. L. Mcguinness and F. Van-harmelen, OWL Web Ontology Language Overview, 2004.

Y. Mei and S. Madden, ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events, Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data. SIGMOD '09, pp.193-206, 2009.

B. Mozafari, High-performance Complex Event Processing over Hierarchical Data, In: ACM Trans. Database Syst, vol.38, 2013.

S. Muñoz, J. Pérez, and C. Gutierrez, Simple and Ecient Minimal {RDFS}, Web Semantics: Science, Services and Agents on the World Wide Web, vol.7, issue.3, pp.1570-8268, 2009.

M. Mansouri-samani and M. Sloman, GEM: A generalized event monitoring language for distributed systems, Distributed Systems Engineering, vol.4, pp.96-108, 1997.

I. Motakis and C. Zaniolo, Recent Advances in Temporal Databases: Proceedings of the International Workshop on Temporal Databases, pp.332-351, 1995.

A. Michael, J. Franklin, and N. Thombre, TruSQL: A Stream-Relational Extension to SQL, 2008.

T. H. Nelson, Complex Information Processing: A File Structure for the Complex, the Changing and the Indeterminate, Proceedings of the 1965 20th National Conference. ACM '65, pp.84-100, 1965.

Y. Nenov, RDFox: A Highly-Scalable RDF Store, International Semantic Web Conference (ISWC), vol.9367, pp.3-20, 2015.

L. Neumeyer, S4: Distributed Stream Computing Platform, Proceedings of the 2010 IEEE International Conference on Data Mining Workshops. ICDMW '10, pp.170-177, 2010.

T. Neumann and G. Weikum, The RDF-3X Engine for Scalable Management of RDF Data, VLDB. 2010, pp.91-113

T. Neumann and G. Weikum, The RDF-3X Engine for Scalable Management of RDF Data, The VLDB Journal, vol.19, issue.1, pp.91-113, 2010.

J. Pérez, M. Arenas, and C. Gutierrez, Semantics and Complexity of SPARQL, In: ACM Trans. Database Syst, vol.34, issue.3, 2009.

J. Pérez, M. Arenas, and C. Gutierrez, Semantics and complexity of SPARQL, ACM Transactions on Database Systems, vol.34, pp.1-45, 2009.

A. Paschke, ECA-LP / ECA-RuleML: A Homogeneous Event-ConditionAction Logic Programming Language, 2006.

W. Norman, O. Paton, and . Díaz, Active Database Systems, In: ACM Comput. Surv, vol.31, issue.1, pp.63-103, 1999.

F. Picalausa, A Structural Approach to Indexing Triples, The Semantic Web: Research and Applications: 9th Extended Semantic Web Conference, pp.406-421, 2012.

E. Prud, &. , and A. Seaborne, SPARQL Query Language for RDF, W3C Recommendation. Latest version available as

H. Pérez-urbina, I. Horrocks, and B. Motik, Ecient Query Answering for OWL 2, The Semantic Web -ISWC 2009: 8th International Semantic Web Conference, pp.489-504, 2009.

, Resource Description Framework (RDF) Model and Syntax Specification. W3C Recommendation, 1999.

M. Rinne, E. Nuutila, and S. Törmä, INSTANS: High-Performance Event Processing with Standard RDF and SPARQL, Proceedings of the ISWC 2012 Posters & Demonstrations Track, 2012.

C. L. Roncancio, Chap. Toward Duration-Based, Constrained and Dynamic Event Types, Active, Real-Time, and Temporal Database Systems: Second International Workshop, ARTDB-97, pp.176-193, 1997.

M. Seiriö and M. Berndtsson, Design and Implementation of an ECA Rule Markup Language, Proceedings of the First International Conference on Rules and Rule Markup Languages for the Semantic Web. RuleML'05. Galway, pp.98-112, 2005.

K. Schnaitter, COLT: Continuous On-line Tuning, Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data. SIGMOD '06, pp.793-795, 2006.

M. Stonebraker, U. Çetintemel, and S. Zdonik, The 8 Requirements of Real-time Stream Processing, SIGMOD Rec, vol.34, pp.163-5808, 2005.

S. Subramaniam and D. Gunopulos, A Survey of Stream Processing Problems and Techniques in Sensor Networks, Data Streams: Models and Algorithms". In: ed. by Charu C. Aggarwal, pp.333-352, 2007.

S. Gauthier-picard, F. Gillani, and . Laforest, Towards Ecient Semantically Enriched Complex Event Processing and Pattern Matching, Proceedings of the 3rd International Workshop on Ordering and Reasoning Co-located with the 13th International Semantic Web Conference (ISWC 2014), pp.47-54, 2014.

A. Garlik, SPARQL 1.1 Query Language. Ed. by W3C Recommendation. Latest version available as

N. Simsiri, Work-Ecient Parallel and Incremental Graph Connectivity, In: CoRR, 2016.

N. P. Schultz-møller, M. Migliavacca, and P. Pietzuch, Distributed Complex Event Processing with Query Rewriting, Proceedings of the Third ACM International Conference on Distributed Event-Based Systems. DEBS '09, vol.4, 2009.

K. Schmidt, R. Stühmer, and L. Stojanovic, Blending Complex Event Processing with the RETE Algorithm, iCEP2008: 1st International workshop on Complex Event Processing for the Future Internet colocated with the Future Internet Symposium (FIS2008), vol.412, 2008.

J. Subercaze, Inferray: Fast In-memory RDF Inference, Proc. VLDB Endow, vol.9, pp.2150-8097, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01245610

C. Sánchez, Expressive Completeness of an Event-Pattern Reactive Programming Language, Formal Techniques for Networked and Distributed Systems -FORTE 2005: 25th IFIP WG 6.1 International Conference, pp.529-532, 2005.

K. Tangwongsan, General Incremental Sliding-window Aggregation, Proc. VLDB Endow, vol.8, pp.2150-8097, 2015.

N. Tatbul, Load Shedding in a Data Stream Manager, Proceedings of the 29th International Conference on Very Large Data Bases, vol.29, 2003.

N. , Streaming data integration: Challenges and opportunities, IEEE 26th International Conference on. 2010, pp.155-158, 2010.

J. Tappolet and A. Bernstein, Applied Temporal RDF: Ecient Temporal Querying of RDF Data with SPARQL, Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications, pp.308-322, 2009.

K. Thompson, Programming Techniques: Regular Expression Search Algorithm, Commun. ACM, vol.11, issue.6, pp.419-422, 1968.

. Tibco-business and . Events, , pp.2016-2022

P. A. Tucker, Exploiting punctuation semantics in continuous data streams, IEEE Transactions on Knowledge and Data Engineering, vol.15, pp.1041-4347, 2003.

O. Udrea, D. R. Recupero, and V. S. Subrahmanian, Annotated RDF, In: ACM Trans. Comput. Logic, vol.11, issue.2, 2010.

E. Wu, Y. Diao, and S. Rizvi, High-performance Complex Event Processing over Streams, Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data. SIGMOD '06, pp.407-418, 2006.

E. Wu, Y. Diao, and S. Rizvi, High-performance Complex Event Processing over Streams, Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data. SIGMOD '06, pp.407-418, 2006.

C. Weiss, P. Karras, and A. Bernstein, Hexastore: Sextuple Indexing for Semantic Web Data Management, Proc. VLDB Endow, vol.1, pp.2150-8097, 2008.

D. Wood, M. Lanthaler, and R. Cyganiak, RDF 1.1 Concepts and Abstract Syntax, W3C Recommendation, 2014.

Y. Yao and J. Gehrke, The Cougar Approach to In-network Query Processing in Sensor Networks, SIGMOD Rec, vol.31, pp.163-5808, 2002.

H. Zhang, Y. Diao, and N. Immerman, Recognizing Patterns in Streams with Imprecise Timestamps, Proc. VLDB Endow. 3.1-2 (Sept. 2010), pp.2150-8097

H. Zhang, Y. Diao, and N. Immerman, On Complexity and Optimization of Expensive Queries in Complex Event Processing, Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. SIGMOD '14, pp.217-228, 2014.

L. Zou, gStore: Answering SPARQL Queries via Subgraph Matching, Proc. VLDB Endow, vol.4, pp.2150-8097, 2011.

D. Zhu and A. S. Sethi, SEL, a new event pattern specification language for event correlation, Proceedings. Tenth International Conference on, pp.586-589, 2001.

R. Özgür-lütfü-Özçep, C. Möller, and . Neuenstadt, Chap. A Stream-Temporal Query Language for Ontology Based Data Access, KI 2014: Advances in Artificial Intelligence: 37th Annual German Conference on AI, pp.183-194, 2014.