A. Ailamaki, Y. E. Ioannidis, and M. Livny, Scientific workflow management by database management, Proceedings. Tenth International Conference on Scientific and Statistical Database Management (Cat. No.98TB100243), pp.190-199, 1998.
DOI : 10.1109/SSDM.1998.688123

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.8987

I. Altintas, C. Berkley, E. Jaeger, M. Jones, B. Ludäscher et al., Kepler: an extensible system for design and execution of scientific workflows, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004., pp.423-424, 2004.
DOI : 10.1109/SSDM.2004.1311241

E. Anderson, S. Callahan, D. Koop, E. Santos, C. Scheidegger et al., VisTrails: Using Provenance to Streamline Data Exploration, Poster Proceedings of the International Workshop on Data Integration in the Life Sciences (DILS) 2007, 2007.

C. R. Aragon, S. S. Poon, G. S. Aldering, R. C. Thomas, and R. Quimby, Using visual analytics to maintain situation awareness in astrophysics, 2008 IEEE Symposium on Visual Analytics Science and Technology, pp.27-34, 2008.
DOI : 10.1109/VAST.2008.4677353

D. Auber, Y. Chiricota, M. Delest, J. Domenger, P. Mary et al., Visualisation de graphes avec Tulip : exploration interactive de grandes masses de données en appui à la fouille de données et à l'extraction de connaissances, EGC, Revue des Nouvelles Technologies de l'Information, pp.147-156, 2007.

R. S. Barga, J. Jackson, N. Araujo, D. Guo, N. Gautam et al., Trident: Scientific Workflow Workbench for Oceanography, 2008 IEEE Congress on Services, Part I, pp.465-466, 2008.
DOI : 10.1109/SERVICES-1.2008.101

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.1807

B. B. Bederson, J. Grosjean, and J. Meyer, Toolkit design for interactive structured graphics, IEEE Transactions on Software Engineering, vol.30, issue.8, pp.535-546, 2004.
DOI : 10.1109/TSE.2004.44

L. Bernardinello and F. De-cindio, A Survey of Basic Net Models and Modular Net Classes Advances in Petri Nets, pp.304-351, 1992.

M. Bilgic, L. Licamele, L. Getoor, and B. Shneiderman, D-Dupe: An Interactive Tool for Entity Resolution in Social Networks, 2006 IEEE Symposium On Visual Analytics And Technology, pp.43-50, 2006.
DOI : 10.1109/VAST.2006.261429

P. A. Boncz, M. L. Kersten, and S. Manegold, Breaking the memory wall in MonetDB, Communications of the ACM, vol.51, issue.12, pp.77-85, 2008.
DOI : 10.1145/1409360.1409380

M. Bostock and J. Heer, Protovis: A Graphical Toolkit for Visualization, IEEE Transactions on Visualization and Computer Graphics, vol.15, issue.6, pp.1121-1128, 2009.
DOI : 10.1109/TVCG.2009.174

N. Boukhelifa, F. Chevalier, and J. Fekete, Real-time aggregation of Wikipedia data for visual analytics, 2010 IEEE Symposium on Visual Analytics Science and Technology, 2010.
DOI : 10.1109/VAST.2010.5652896

URL : https://hal.archives-ouvertes.fr/hal-00690084

S. Bowers and B. Ludäscher, Actor-Oriented Design of Scientific Workflows, Proc. of the International Conference on Conceptual Modeling (ER), pp.369-384, 2005.
DOI : 10.1007/11568322_24

M. Brambilla, S. Ceri, P. Fraternali, and I. Manolescu, Process modeling in Web applications, ACM Transactions on Software Engineering and Methodology, vol.15, issue.4, pp.360-409, 2006.
DOI : 10.1145/1178625.1178627

Y. Breitbart, A. Deacon, H. J. Schek, A. Sheth, and G. Weikum, Merging application-centric and data-centric approaches to support transaction-oriented multi-system workflows, ACM SIGMOD Record, vol.22, issue.3, pp.23-30, 1993.
DOI : 10.1145/163090.163095

P. Buneman, S. Khanna, and W. Tan, Why and Where: A Characterization of Data Provenance, pp.316-330, 2001.
DOI : 10.1007/3-540-44503-X_20

S. P. Callahan, J. Freire, E. Santos, C. E. Scheidegger, C. T. Silva et al., VisTrails, Proceedings of the 2006 ACM SIGMOD international conference on Management of data , SIGMOD '06, pp.745-747, 2006.
DOI : 10.1145/1142473.1142574

S. K. Card, J. D. Mackinlay, and B. Shneiderman, Readings in Information Visualization: Using Vision to Think, 1999.

S. Ceri, P. Fraternali, A. Bongio, M. Brambilla, S. Comai et al., Designing Data-Intensive Web Applications, 2003.
DOI : 10.1109/coopis.1999.792147

A. Chebotko, X. Fei, C. Lin, S. Lu, and F. Fotouhi, Storing and Querying Scientific Workflow Provenance Metadata Using an RDBMS, Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007), pp.611-618, 2007.
DOI : 10.1109/E-SCIENCE.2007.70

F. Chevalier, S. Huot, and J. Fekete, WikipediaViz: Conveying Article Quality for Casual Wikipedia Readers. Pacific Visualization Symposium PacificVis, IEEE, pp.49-56, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00550698

E. H. , -. Chi, and J. , An operator interaction framework for visualization systems, Proceedings of the 1998 IEEE Symposium on Information Visualization, pp.63-70, 1998.

C. A. Consortium, The active database management system manifesto, ACM SIGMOD Record, vol.25, issue.3, pp.40-49, 1996.
DOI : 10.1145/234889.234896

J. Eder, H. Groiss, and W. Liebhart, Workflow Management and Databases, 2ème Forum Int dInformatique Appliquée Tunis, 1996.

J. Eder and W. Liebhart, The Workflow Activity Model WAMO, pp.87-98, 1995.

S. G. Eick and A. F. Karr, Visual Scalability, Journal of Computational and Graphical Statistics, vol.11, issue.1, pp.22-43, 2002.
DOI : 10.1198/106186002317375604

J. Fekete and M. Beaudouin-lafon, Using the multi-layer model for building interactive graphical applications, Proceedings of the 9th annual ACM symposium on User interface software and technology , UIST '96, pp.109-118, 1996.
DOI : 10.1145/237091.237108

URL : https://hal.archives-ouvertes.fr/hal-00911559

J. D. Fekete and C. Plaisant, Interactive information visualization of a million items, IEEE Symposium on Information Visualization, pp.117-124, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00875363

J. Gerth and P. Hanrahan, Maintaining interactivity while exploring massive time series, IEEE Symposium on Visual Analytics Science and Technology, pp.59-66, 2008.

J. Gray, D. T. Liu, M. Nieto-santisteban, A. S. Szalay, D. Dewitt et al., Scientific data management in the coming decade, ACM SIGMOD Record, vol.34, issue.4, pp.34-41, 2005.
DOI : 10.1145/1107499.1107503

M. Greenwood, C. Goble, R. Stevens, J. Zhao, M. Addis et al., Provenance of e-Science Experiments -experience from Bioinformatics, OST eScience Second All Hands Meeting 2003 AHM03, pp.223-226, 2003.

R. Grønmo and I. Solheim, Towards modeling web service composition in uml, pp.72-86, 2004.

A. Gupta, I. S. Mumick, and V. S. Subrahmanian, Maintaining Views Incrementally, pp.157-166, 1993.
DOI : 10.1145/170036.170066

Y. Han, E. P. Stuntebeck, J. T. Stasko, and G. D. Abowd, A visual analytics system for radio frequency fingerprinting-based localization, 2009 IEEE Symposium on Visual Analytics Science and Technology, pp.35-42, 2009.
DOI : 10.1109/VAST.2009.5332596

M. C. Hao, R. K. Sharma, D. A. Keim, U. Dayal, C. Patel et al., Application of Visual Analytics for Thermal State Management in Large Data Centres, Computer Graphics Forum, vol.29, issue.6, pp.1895-1904, 2010.
DOI : 10.1111/j.1467-8659.2010.01657.x

J. Heer and M. Agrawala, Design Considerations for Collaborative Visual Analytics, Information Visualization, vol.57, issue.1, pp.49-62, 2008.
DOI : 10.1037/0022-3514.65.5.959

J. Heer, S. K. Card, and J. A. Landay, prefuse, Proceedings of the SIGCHI conference on Human factors in computing systems , CHI '05, pp.421-430, 2005.
DOI : 10.1145/1054972.1055031

M. D. Hill, What is scalability?, ACM SIGARCH Computer Architecture News, vol.18, issue.4, pp.18-21, 1990.
DOI : 10.1145/121973.121975

C. A. Hoare, Communicating sequential processes, Communications of the ACM, vol.21, issue.8, pp.666-677, 1978.
DOI : 10.1145/359576.359585

L. Ibanez, W. Schroeder, L. Ng, and J. Cates, The ITK Software Guide, Kitware, Inc, 2005.

D. A. Keim, F. Mansmann, A. Stoffel, and H. Ziegler, Visual analytics, Encyclopedia of Database Systems, pp.3341-3346, 2009.
DOI : 10.1145/1809400.1809403

URL : https://hal.archives-ouvertes.fr/lirmm-00272779

F. Leymann, Supporting Business Transactions via Partial Backward Recovery In Workflow Management Systems, pp.51-70, 1995.
DOI : 10.1007/978-3-642-79646-3_4

B. Ludäscher, I. Altintas, C. Berkley, D. Higgins, E. Jaeger et al., Scientific workflow management and the Kepler system, Concurrency and Computation: Practice and Experience, vol.28, issue.10, pp.181039-1065, 2006.
DOI : 10.1002/cpe.994

G. V. Weske, Handbook on Architectures of Information Systems, International Handbooks on Information Systems), chapter Workflow Languages, pp.359-379, 1998.

N. Mandal, E. Deelman, G. Mehta, M. Su, K. Vahi et al., Integrating existing scientific workflow systems, Proceedings of the 2nd workshop on Workflows in support of large-scale science, WORKS '07, pp.21-28, 2007.
DOI : 10.1145/1273360.1273365

J. Nielsen, Usability Engineering, 1993.

A. Noack, An Energy Model for Visual Graph Clustering, pp.425-436
DOI : 10.1007/978-3-540-24595-7_40

J. O-'madadhain, D. Fisher, S. White, and Y. Boey, The JUNG (Java Universal Network/Graph) Framework. University of California Irvine, pp.3-17, 2003.

S. G. Parker and C. R. Johnson, SCIRun, Proceedings of the 1995 ACM/IEEE conference on Supercomputing (CDROM) , Supercomputing '95, p.52, 1995.
DOI : 10.1145/224170.224354

N. W. Paton and O. Díaz, Active database systems, ACM Computing Surveys, vol.31, issue.1, pp.63-103, 1999.
DOI : 10.1145/311531.311623

T. Risch and M. Sköld, Monitoring Complex Rule Conditions, Active Rules in Database Systems, pp.81-102, 1999.
DOI : 10.1007/978-1-4419-8656-6_5

N. Russell, A. H. Ter-hofstede, W. M. Aalst, and N. Mulyar, Workflow Control-Flow Patterns: A Revised View, Business, vol.2, pp.6-22, 2006.

A. Rygg, P. Roe, and O. Wong, GPFlow: An Intuitive Environment for Web Based Scientific Workflow, Fifth International Conference on Grid and Cooperative Computing Workshops, pp.204-211, 2006.

A. Savikhin, R. Maciejewski, and D. S. Ebert, Applied visual analytics for economic decision-making, 2008 IEEE Symposium on Visual Analytics Science and Technology, pp.107-114, 2008.
DOI : 10.1109/VAST.2008.4677363

S. Shankar, A. Kini, D. J. Dewitt, and J. Naughton, Integrating databases and workflow systems, ACM SIGMOD Record, vol.34, issue.3, p.5, 2005.
DOI : 10.1145/1084805.1084808

C. T. Silva, E. Anderson, E. Santos, and J. Freire, Using VisTrails and Provenance for Teaching Scientific Visualization, Computer Graphics Forum, vol.9, issue.4, pp.75-84, 2010.
DOI : 10.1111/j.1467-8659.2010.01830.x

Y. L. Simmhan, B. Plale, and D. Gannon, A survey of data provenance in e-science, ACM SIGMOD Record, vol.34, issue.3
DOI : 10.1145/1084805.1084812

V. Tannen, Provenance for database transformations, Proceedings of the 13th International Conference on Extending Database Technology EDBT 10, 2010.

I. Taylor, I. Wang, M. Shields, and S. Majithia, Distributed computing with Triana on the Grid, Concurrency and Computation: Practice and Experience, vol.1, issue.9, pp.1197-1214, 2005.
DOI : 10.1002/cpe.901

J. J. Thomas and K. A. Cook, Illuminating the path: The research and development agenda for visual analytics, IEEE, vol.54, 2005.

W. M. Van-der-aalst, THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT, Journal of Circuits, Systems and Computers, vol.08, issue.01, pp.21-66, 1998.
DOI : 10.1142/S0218126698000043

J. J. Van-wijk, Guest Editor's Introduction: Special Section on the IEEE Symposium on Visual Analytics Science and Technology (VAST), IEEE Transactions on Visualization and Computer Graphics, vol.17, issue.5, pp.555-556, 2011.
DOI : 10.1109/TVCG.2011.64

F. B. Viégas, M. Wattenberg, and K. Dave, visualizations, Proceedings of the 2004 conference on Human factors in computing systems , CHI '04, pp.575-582, 2004.
DOI : 10.1145/985692.985765

C. Weaver, Building Highly-Coordinated Visualizations in Improvise, IEEE Symposium on Information Visualization, pp.159-166, 2004.
DOI : 10.1109/INFVIS.2004.12