L. George, Hbase : The Definitive Guide. O'REILLY Media, United States of America, 2011.

D. J. Abadi, S. R. Madden, and N. Hachem, Column-stores vs. row-stores, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.967-980, 2008.
DOI : 10.1145/1376616.1376712

B. Adelberg, H. Garcia-molina, and B. Kao, Applying update streams in a soft real-time database system, ACM SIGMOD Record, vol.24, issue.2, pp.245-256, 1995.
DOI : 10.1145/568271.223842

URL : http://www.cs.virginia.edu/~son/papers/adel.sigmod95.ps

A. A. Ouassarah, N. Averseng, X. Fournet, J. Petit, R. Revol et al., Understanding Business Trends from Data Evolution with Tornado (demo), Int. Conf. on Data Engineering, 2015.
DOI : 10.1109/icde.2015.7113400

A. Arasu, S. Babu, and J. Widom, An abstract semantics and concrete language for continuous queries over streams and relations, 2002.
DOI : 10.1145/1031570.1031572

URL : http://ilpubs.stanford.edu:8090/639/1/2004-19.pdf

D. Barbar-'a, W. Dumouchel, C. Faloutsos, P. J. Haas, J. M. Hellerstein et al., The new jersey data reduction report, IEEE Data Engineering Bulletin. Citeseer, 1997.

C. Bettini, C. E. Dyreson, W. S. Evans, R. T. Snodgrass, and X. S. Wang, A glossary of time granularity concepts, Temporal databases: Research and practice, pp.406-413
DOI : 10.1007/BFb0053711

P. A. Boncz, M. Zukowski, and N. Nes, Monetdb/x100: Hyper-pipelining query execution, CIDR, pp.225-237, 2005.

G. Candea, N. Polyzotis, and R. Vingralek, A scalable, predictable join operator for highly concurrent data warehouses, Proceedings of the VLDB Endowment, pp.277-288, 2009.
DOI : 10.14778/1687627.1687659

URL : http://www.vldb.org/pvldb/2/vldb09-553.pdf

S. Chandrasekaran and M. Franklin, Remembrance of Streams Past, Proceedings of the Thirtieth international conference on Very large data bases, pp.348-359, 2004.
DOI : 10.1016/B978-012088469-8.50033-4

S. Chaudhuri and U. Dayal, An overview of data warehousing and OLAP technology, ACM SIGMOD Record, vol.26, issue.1, pp.65-74, 1997.
DOI : 10.1145/248603.248616

T. P. Council, Tpc-h benchmark specification, 2008.

C. Dyreson, F. Grandi, W. Käfer, N. Kline, N. Lorentzos et al., A consensus glossary of temporal database concepts, ACM SIGMOD Record, vol.23, issue.1, pp.52-64, 1994.
DOI : 10.1145/181550.181560

H. V. Jagadish, I. S. Mumick, and A. Silberschatz, View maintenance issues for the chronicle data model, Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, pp.113-124, 1995.
DOI : 10.1145/212433.220201

URL : http://www.cs.yale.edu/~avi/home-page/publication-dir/PODS95.pdf

C. S. Jensen, L. Mark, and N. Roussopoulos, Incremental implementation model for relational databases with transaction time. Knowledge and Data Engineering, IEEE Transactions on, vol.3, issue.4, pp.461-473, 1991.
DOI : 10.1109/69.109107

C. S. Jensen and R. Snodgrass, Temporal specialization and generalization. Knowledge and Data Engineering, IEEE Transactions on, vol.6, issue.6, pp.954-974, 1994.
DOI : 10.1109/69.334885

URL : http://www.cs.arizona.edu/~rts/pubs/TKDEDec94.pdf

C. S. Jensen and R. T. Snodgrass, Temporally enhanced database design, 2000.

M. Kaufmann, P. M. Fischer, N. May, A. Tonder, and D. Kossmann, TPC-BiH: A Benchmark for Bitemporal Databases, 2013.
DOI : 10.1007/978-3-319-04936-6_2

URL : http://pi3.informatik.uni-mannheim.de/~norman/HistoryBenchmark_TPCTC2013.pdf

M. Kaufmann, P. Vagenas, P. M. Fischer, D. Kossmann, and F. Färber, Comprehensive and interactive temporal query processing with SAP HANA, Proceedings of the VLDB Endowment, pp.1210-1213, 2013.
DOI : 10.14778/2536274.2536278

J. Krämer and B. Seeger, A temporal foundation for continuous queries over data streams, Univ, 2004.

K. Kulkarni and J. Michels, Temporal features in SQL:2011, ACM SIGMOD Record, vol.41, issue.3, pp.34-43, 2012.
DOI : 10.1145/2380776.2380786

P. Larson and H. Yang, Computing queries from derived relations: Theoretical foundation. Citeseer, 1987.

D. Luckham, The power of events, 2002.

D. W. Mccoy, Business activity monitoring: Calm before the storm, Gartner Research, 2002.

F. Reiss, K. Stockinger, K. Wu, A. Shoshani, and J. M. Hellerstein, Enabling Real-Time Querying of Live and Historical Stream Data, 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007), pp.28-28, 2007.
DOI : 10.1109/SSDBM.2007.34

URL : http://www-vis.lbl.gov/Publications/2007/LBNL-61080.pdf

H. A. Schmid and P. A. Bernstein, A multi-level architecture for relational data base systems, Proceedings of the 1st International Conference on Very Large Data Bases, VLDB '75, pp.202-226, 1975.
DOI : 10.1145/1282480.1282496

T. K. Sellis, Multiple-query optimization, ACM Transactions on Database Systems, vol.13, issue.1, pp.23-52, 1988.
DOI : 10.1145/42201.42203

R. Snodgrass, The temporal query language TQuel, ACM Transactions on Database Systems, vol.12, issue.2, pp.247-298, 1987.
DOI : 10.1145/22952.22956

URL : http://www.cs.unc.edu/techreports/86-009.pdf

R. Snodgrass, M. Böhlen, C. Jensen, and A. Steiner, Adding valid time to sql/temporal. ansi x3h2-96-151r1, iso?ansi sql/temporal change proposal, iso, IEC JTC1/SC21/WG3 DBL MCI-142, 1996.

R. T. Snodgrass, M. H. Böhlen, C. S. Jensen, and A. Steiner, Adding transaction time to sql/temporal, ISO-ANSI SQL/Temporal Change Proposal, ANSI X3H2-96-152r ISO/IEC JTC1/SC21/WG3 DBL, p.143, 1996.

R. T. Snodgrass, J. Gray, and J. Melton, Developing time-oriented database applications in SQL

M. Stonebraker, D. J. Abadi, A. Batkin, X. Chen, M. Cherniack et al., C-store: a column-oriented dbms, Proceedings of the 31st international conference on Very large data bases, pp.553-564, 2005.

N. Tatbul, U. Çetintemel, S. Zdonik, M. Cherniack, and M. Stonebraker, Load Shedding in a Data Stream Manager, Proceedings of the 29th international conference on Very large data bases, pp.309-320, 2003.
DOI : 10.1016/B978-012722442-8/50035-5

H. J. Watson and B. H. Wixom, The Current State of Business Intelligence, Computer, vol.40, issue.9, pp.96-99, 2007.
DOI : 10.1109/MC.2007.331

J. Yang, J. Widom, D. P. Ballou, and H. L. Pazer, Maintaining temporal views over non-temporal information sources for data warehousing Modeling completeness versus consistency tradeoffs in information decision contexts, Advances in Database TechnologyÑEDBT'98, pp.389-403240, 1998.

C. Batini, C. Cappiello, C. Francalanci, and A. Maurino, Methodologies for data quality assessment and improvement, ACM Computing Surveys, vol.41, issue.3, p.16, 2009.
DOI : 10.1145/1541880.1541883

S. Bechhofer, I. Buchan, D. De-roure, P. Missier, J. Ainsworth et al., Why linked data is not enough for scientists, Future Generation Computer Systems, vol.29, issue.2, pp.599-611, 2013.
DOI : 10.1016/j.future.2011.08.004

URL : http://users.ox.ac.uk/~oerc0033/preprints/research-objects.pdf

L. Berti-equille, I. Comyn-wattiau, M. Cosquer, Z. Kedad, S. Nugier et al., Assessment and analysis of information quality: a multidimensional model and case studies, International Journal of Information Quality, vol.2, issue.4, pp.300-323, 2011.
DOI : 10.1504/IJIQ.2011.043780

URL : https://hal.archives-ouvertes.fr/hal-00666237

P. Chen and W. Garcia, Hypothesis generation and data quality assessment through association mining, 9th IEEE International Conference on Cognitive Informatics (ICCI'10), pp.659-666, 2010.
DOI : 10.1109/COGINF.2010.5599828

E. F. Codd, Missing information (applicable and inapplicable) in relational databases, ACM SIGMOD Record, vol.15, issue.4, pp.53-78, 1986.
DOI : 10.1145/16301.16303

F. Darari, W. Nutt, G. Pirrò, S. Razniewski, H. Alani et al., Completeness Statements about RDF Data Sources and Their Use for Query Answering, The Semantic Web -ISWC 2013 -12th International Semantic Web Conference Proceedings, Part I, pp.66-83, 2013.
DOI : 10.1007/978-3-642-41335-3_5

C. M. Eastman and B. J. Jansen, Coverage, relevance, and ranking, ACM Transactions on Information Systems, vol.21, issue.4, pp.383-411, 2003.
DOI : 10.1145/944012.944015

C. Fürber and M. Hepp, Swiqa-a semantic web information quality assessment framework, ECIS, p.19, 2011.

J. Golbeck, Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering, Provenance and Annotation of Data, International Provenance and Annotation Workshop, pp.101-108, 2006.
DOI : 10.1007/11890850_12

K. Gouda and M. J. Zaki, Efficiently mining maximal frequent itemsets, Proceedings 2001 IEEE International Conference on Data Mining, pp.163-170, 2001.
DOI : 10.1109/ICDM.2001.989514

URL : http://www.cs.tau.ac.il/~fiat/dmsem03/Efficient Mining Maxmal Frequent Itemsets - 2001.pdf

G. Grahne and J. Zhu, Efficiently using prefix-trees in mining frequent itemsets, In B. Goethals and M. J

J. Han, J. Pei, and Y. Yin, Mining frequent patterns without candidate generation, Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pp.1-12, 2000.
DOI : 10.1145/335191.335372

URL : http://www.cs.uiuc.edu/~hanj/pdf/dami04_fptree.pdf

J. Han, J. Pei, Y. Yin, and R. Mao, Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach, Data Mining and Knowledge Discovery, vol.8, issue.1, pp.53-87, 2004.
DOI : 10.1023/B:DAMI.0000005258.31418.83

URL : http://www.cs.uiuc.edu/~hanj/pdf/dami04_fptree.pdf

O. Hartig, Trustworthiness of data on the web, Proceedings of the STI Berlin & CSW PhD Workshop. Citeseer, 2008.

O. Hartig and J. Zhao, Using web data provenance for quality assessment, Proceedings of the First International Workshop on the role of Semantic Web in Provenance Management (SWPM 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009) CEUR Workshop Proceedings. CEUR-WS.org, 2009.

D. M. Herzig and T. Tran, Heterogeneous web data search using relevance-based on the fly data integration, Proceedings of the 21st international conference on World Wide Web, WWW '12, pp.141-150, 2012.
DOI : 10.1145/2187836.2187856

A. Hogan, A. Harth, A. Passant, S. Decker, and A. Polleres, Weaving the pedantic web, Proceedings of the WWW2010 Workshop on Linked Data on the Web CEUR Workshop Proceedings. CEUR-WS.org, 2010.

M. G. Institute, M. Chui, J. Manyika, J. Bughin, R. Dobbs et al., The social economy: Unlocking value and productivity through social technologies, 2012.

R. J. Jr, Efficiently mining long patterns from databases, Proceedings ACM SIGMOD International Conference on Management of Data, pp.85-93, 1998.

Y. W. Lee, D. M. Strong, B. K. Kahn, and R. Y. Wang, AIMQ: a methodology for information quality assessment, Information & Management, vol.40, issue.2, pp.133-146, 2002.
DOI : 10.1016/S0378-7206(02)00043-5

URL : http://mitiq.mit.edu/documents/publications/TDQMpub/AIMQ.pdf

M. Markovic, P. Edwards, D. Corsar, and J. Z. Pan, The crowd and the web of linked data: A provenance perspective, Wisdom of the Crowd, Papers from the 2012 AAAI Spring Symposium, 2012.

P. Mendes, C. Bizer, Y. Young, Z. Miklos, J. Calbimonte et al., Conceptual model and best practices for high-quality metadata

P. N. Mendes, H. Mühleisen, and C. Bizer, Sieve, Proceedings of the 2012 Joint EDBT/ICDT Workshops on, EDBT-ICDT '12, pp.116-123, 2012.
DOI : 10.1145/2320765.2320803

T. Omitola, N. Gibbins, and N. Shadbolt, Provenance in Linked Data Integration, Proc. of Linked Data in the Future Internet at the Future Internet Assembly CEUR Workshop Proceedings, 2010.

L. L. Pipino, Y. W. Lee, and R. Y. Wang, Data quality assessment, Communications of the ACM, vol.45, issue.4, pp.211-218, 2002.
DOI : 10.1145/505248.506010

M. Samwald, A. Jentzsch, C. Bouton, C. S. Kallesøe, E. Willighagen et al., Linked open drug data for pharmaceutical research and development, Journal of Cheminformatics, vol.3, issue.1, p.19, 2011.
DOI : 10.1186/1758-2946-2-7

URL : https://jcheminf.springeropen.com/track/pdf/10.1186/1758-2946-3-19?site=jcheminf.springeropen.com

Y. Wand and R. Y. Wang, Anchoring data quality dimensions in ontological foundations, Communications of the ACM, vol.39, issue.11, pp.86-95, 1996.
DOI : 10.1145/240455.240479

R. Y. Wang and D. M. Strong, Beyond Accuracy: What Data Quality Means to Data Consumers, Journal of Management Information Systems, vol.1, issue.3, pp.5-33, 1996.
DOI : 10.2307/2490193

A. Zaveri, A. Rula, A. Maurino, R. Pietrobon, J. Lehmann et al., Quality assessment methodologies for linked open data, 2013.

]. S. Abiteboul, R. Hull, and V. Vianu, Foundations of Databases, 1995.

F. Baader, D. Calvanese, D. L. Mcguinness, D. Nardi, and P. F. , The Description Logic Handbook, 2003.
DOI : 10.1017/CBO9780511711787

J. Baget, M. Leclère, M. Mugnier, and E. Salvat, On rules with existential variables: Walking the decidability line, Artificial Intelligence, vol.175, issue.9-10, 2011.
DOI : 10.1016/j.artint.2011.03.002

URL : https://hal.archives-ouvertes.fr/lirmm-00587012

A. Calì, G. Gottlob, and T. Lukasiewicz, A general datalog-based framework for tractable query answering over ontologies, PODS, 2009.

D. Calvanese, G. D. Giacomo, D. Lembo, M. Lenzerini, and R. Rosati, Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family, Journal of Automated Reasoning, vol.104, issue.1,2, pp.385-429, 2007.
DOI : 10.1007/s10817-007-9078-x

M. Chein and M. Mugnier, Graph-based Knowledge Representation : Computational Foundations of Conceptual Graphs, 2008.
URL : https://hal.archives-ouvertes.fr/lirmm-00355336

D. Gentner, Structure-mapping : A theoretical framework for analogy, Cognitive Science, vol.7, issue.2, 1983.

G. Gottlob, G. Orsi, and A. Pieris, Query Rewriting and Optimization for Ontological Databases, ACM Transactions on Database Systems, vol.39, issue.3, p.2014
DOI : 10.1007/s13740-012-0017-6

S. Nienhuys-cheng and R. De-wolf, Least generalizations and greatest specializations of sets of clauses, J. of Artificial Intelligence Research, 1996.

H. Prade and G. Richard, Computational Approaches to Analogical Reasoning : Current Trends, Studies in Computational Intelligence, vol.548, 2014.
DOI : 10.1007/978-3-642-54516-0

K. Avrachenkov, N. Litvak, D. Nemirovsky, and N. Osipova, Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient, SIAM Journal on Numerical Analysis, vol.45, issue.2, pp.890-904, 2007.
DOI : 10.1137/050643799

URL : http://www-sop.inria.fr/mistral/personnel/K.Avrachenkov/pubs/mc.pdf

A. D. Sarma, S. Gollapudi, and R. Panigrahy, Estimating PageRank on graph streams, Proceedings of the Twenty-seventh ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS '08, pp.69-78, 2008.
DOI : 10.1145/1970392.1970397

URL : http://theory.stanford.edu/~rinap/papers/pagerankpods.pdf

D. Fogaras and B. R. , Towards Scaling Fully Personalized PageRank, Proceedings of the 3rd Workshop on Algorithms and Models for the Web-Graph (WAW, pp.105-117, 2004.
DOI : 10.1145/775047.775059

J. E. Gonzalez, Y. Low, H. Gu, D. Bickson, and C. Guestrin, Powergraph: Distributed graph-parallel computation on natural graphs, Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation, OSDI'12, pp.17-30

G. Jeh and J. Widom, Scaling personalized web search, Proceedings of the twelfth international conference on World Wide Web , WWW '03, pp.271-279, 2003.
DOI : 10.1145/775152.775191

URL : http://www-db.stanford.edu/~glenj/spws.ps

G. Malewicz, M. H. Austern, A. J. Bik, J. C. Dehnert, I. Horn et al., Pregel: A system for large-scale graph processing, SIGMOD, pp.135-146, 2010.

A. Olteanu, A. Kermarrec, and K. Aberer, Comparing the Predictive Capability of Social and Interest Affinity for Recommendations, Web Information Systems EngineeringâEngineering?Engineeringâ ? A¸SA¸S WISE 2014, pp.276-292, 2014.
DOI : 10.1007/978-3-319-11749-2_22

R. S. Xin, J. E. Gonzalez, M. J. Franklin, and I. Stoica, GraphX, First International Workshop on Graph Data Management Experiences and Systems, GRADES '13, pp.1-2, 2013.
DOI : 10.1145/2484425.2484427

]. Y. Amsterdamer, Y. Grossman, T. Milo, and P. Senellart, Crowd miner: Mining association rules from the crowd, Proc. VLDB, Riva del Garda, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00874438

S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak et al., DBpedia: A Nucleus for a Web of Open Data, ISWC, 2007.
DOI : 10.1007/978-3-540-76298-0_52

A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E. H. Jr et al., Toward an architecture for never-ending language learning, AAAI, 2010.

L. Dehaspe and H. Toironen, Discovery of Relational Association Rules, Relational Data Mining, 2000.
DOI : 10.1007/978-3-662-04599-2_8

L. Dehaspe and H. Toivonen, Discovery of frequent DATALOG patterns, Data Min. Knowl. Discov, vol.3, issue.1, 1999.

L. , D. Corro, and R. Gemulla, Clausie: clause-based open information extraction, WWW, 2013.

X. Dong, E. Gabrilovich, G. Heitz, W. Horn, N. Lao et al., Knowledge vault, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '14, 2014.
DOI : 10.1145/2623330.2623623

O. Etzioni, A. Fader, J. Christensen, S. Soderland, and M. , Open Information Extraction: the Second Generation, IJCAI, 2011.
DOI : 10.21236/ADA538482

L. Galárraga, G. Heitz, K. Murphy, and F. Suchanek, Canonicalizing Open Knowledge Bases, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14, 2014.
DOI : 10.1017/CBO9780511809071

L. Galárraga, C. Teflioudi, K. Hose, and F. Suchanek, AMIE, Proceedings of the 22nd international conference on World Wide Web, WWW '13, 2013.
DOI : 10.1007/978-3-642-21034-1_9

L. A. Galárraga, N. Preda, and F. M. Suchanek, Mining rules to align knowledge bases, Proceedings of the 2013 workshop on Automated knowledge base construction, AKBC '13, 2013.
DOI : 10.1145/2509558.2509566

B. Goethals and J. Van-den-bussche, Relational Association Rules: Getting Warmer, Pattern Detection and Discovery, 2002.
DOI : 10.1007/3-540-45728-3_10

URL : http://arxiv.org/abs/cs/0206023

X. Lin, A. Mukherji, E. A. Rundensteiner, and M. O. Ward, SPIRE, Proc. VLDB Endow, 2014.
DOI : 10.14778/2733004.2733053

S. Muggleton, Inverse entailment and progol, New Generation Computing, vol.12, issue.1, 1995.
DOI : 10.1080/09528139408953784

URL : http://www.ncc.up.pt/~amjorge/docs/Inverse_entailment_and_Progol.ps.Z

S. Muggleton, Learning from positive data, 1997.
DOI : 10.1007/3-540-63494-0_65

V. Nebot and R. Berlanga, Finding association rules in semantic web data, Knowledge-Based Systems, vol.25, issue.1, p.2012
DOI : 10.1016/j.knosys.2011.05.009

S. Schoenmackers, O. Etzioni, D. S. Weld, and J. Davis, Learning first-order Horn clauses from web text, EMNLP, 2010.

F. M. Suchanek, S. Abiteboul, and P. Senellart, PARIS, Proceedings of the VLDB Endowment, vol.5, issue.3, 2011.
DOI : 10.14778/2078331.2078332

URL : https://hal.archives-ouvertes.fr/hal-00745191

F. M. Suchanek, G. Kasneci, and G. Weikum, Yago, Proceedings of the 16th international conference on World Wide Web , WWW '07, 2007.
DOI : 10.1145/1242572.1242667

URL : https://hal.archives-ouvertes.fr/hal-01589462

J. Voelker and M. Niepert, Statistical Schema Induction, ESWC, 2011.
DOI : 10.1016/j.websem.2006.02.001

Q. Zeng, J. Patel, and D. Page, QuickFOIL, VLDB, 2014.
DOI : 10.14778/2735508.2735510