Z. Bao, S. Cohen-boulakia, S. B. Davidson, A. Eyal, and S. Khanna, Differencing Provenance in Scientific Workflows, 2009 IEEE 25th International Conference on Data Engineering, pp.808-819, 2009.
DOI : 10.1109/ICDE.2009.103
URL : https://hal.archives-ouvertes.fr/inria-00542336

R. Bergmann and Y. Gil, Similarity assessment and efficient retrieval of semantic workflows, Information Systems, vol.40, pp.115-127, 2012.
DOI : 10.1016/j.is.2012.07.005

P. Bertoli, M. Pistore, and P. Traverso, Automated composition of Web services via planning in asynchronous domains, Artificial Intelligence, vol.174, issue.3-4, pp.316-361, 2010.
DOI : 10.1016/j.artint.2009.12.002

S. Bowers and B. Ludäscher, Actor-oriented design of scientific workflows. Conceptual Modeling, pp.369-384, 2005.

A. Brogi, S. Corfini, and R. Popescu, Semantics-based composition-oriented discovery of Web services, ACM Transactions on Internet Technology, vol.8, issue.4, p.19, 2008.
DOI : 10.1145/1391949.1391953

W. Cheng, M. Rademaker, B. Baets, and E. Hüllermeier, Predicting Partial Orders: Ranking with Abstention, ECML/PKDD, pp.215-230, 2010.
DOI : 10.1007/978-3-642-15880-3_20

S. Cohen-boulakia, A. Denise, and S. Hamel, Using Medians to Generate Consensus Rankings for Biological Data, pp.73-90, 2011.
DOI : 10.1007/978-3-540-77918-6_21
URL : https://hal.archives-ouvertes.fr/inria-00584690

S. Cohen-boulakia and U. Leser, Search, adapt, and reuse, ACM SIGMOD Record, vol.40, issue.2, pp.6-16, 2011.
DOI : 10.1145/2034863.2034865
URL : https://hal.archives-ouvertes.fr/inria-00638043

F. Costa, D. D. Oliveira, E. Ogasawara, A. Lima, and M. Mattoso, Athena: Text Mining Based Discovery of Scientific Workflows in Disperse Repositories, pp.104-121, 2010.
DOI : 10.1007/978-3-642-27392-6_8

E. Deelman, D. Gannon, M. Shields, and I. Taylor, Workflows and e-Science: An overview of workflow system features and capabilities, Future Generation Computer Systems, vol.25, issue.5, pp.528-540, 2009.
DOI : 10.1016/j.future.2008.06.012

R. Dijkman, M. Dumas, B. V. Dongen, R. Käärik, and J. Mendling, Similarity of business process models: Metrics and evaluation, Information Systems, vol.36, issue.2, pp.498-516, 2010.
DOI : 10.1016/j.is.2010.09.006

R. Dijkman, M. Dumas, and L. García-bañuelos, Graph Matching Algorithms for Business Process Model Similarity Search, Business Process Management, pp.48-63, 2009.
DOI : 10.1007/11914853_16

M. Dumas, L. García-bañuelos, and R. Dijkman, Similarity search of business process models, Data Engineering Bull, vol.32, issue.3, pp.23-28, 2009.

J. Freire, C. Silva, S. Callahan, E. Santos, C. Scheidegger et al., Managing Rapidly-Evolving Scientific Workflows, pp.10-18, 2006.
DOI : 10.1007/11890850_2

N. Friesen and S. Rüping, Workflow analysis using graph kernels. SoKD, 2010.

A. Goderis, P. Li, and C. Goble, Workflow discovery: the problem, a case study from e-Science and a graph-based solution, 2006 IEEE International Conference on Web Services (ICWS'06), pp.312-319, 2006.
DOI : 10.1109/ICWS.2006.147

A. Goderis, U. Sattler, P. Lord, and C. Goble, Seven Bottlenecks to Workflow Reuse and Repurposing, ISWC, pp.323-337, 2005.
DOI : 10.1007/11574620_25

J. Goecks, A. Nekrutenko, and J. Taylor, Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences, Genome Biology, vol.11, issue.8, p.86, 2010.
DOI : 10.1186/gb-2010-11-8-r86

J. Krinke, Identifying similar code with program dependence graphs, Proceedings Eighth Working Conference on Reverse Engineering, pp.301-309, 2001.
DOI : 10.1109/WCRE.2001.957835
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.4224

V. I. Levenshtein, Binary codes capable of correcting deletions, insertions and reversals. Soviet physics doklady, p.707, 1966.

R. Likert, A technique for the measurement of attitudes. Archives of Psychology, 1932.

B. Ludäscher, M. Weske, T. Mcphillips, and S. Bowers, Scientific Workflows, pp.31-47, 2009.
DOI : 10.1007/978-1-4899-7993-3_1471-2

R. Maclin and D. Opitz, Popular ensemble methods: An empirical study, 2011.

F. Malucelli, T. Ottmann, and D. Pretolani, Efficient labelling algorithms for the maximum noncrossing matching problem, Discrete Applied Mathematics, vol.47, issue.2, pp.175-179, 1993.
DOI : 10.1016/0166-218X(93)90090-B

P. Mates, E. Santos, J. Freire, and C. Silva, CrowdLabs: Social Analysis and Visualization for the Sciences, pp.555-564, 2011.
DOI : 10.1016/j.future.2008.06.010

B. Messmer and H. Bunke, Efficient subgraph isomorphism detection: a decomposition approach, IEEE Transactions on Knowledge and Data Engineering, vol.12, issue.2, pp.307-323, 2000.
DOI : 10.1109/69.842269

T. Oinn, M. Addis, J. Ferris, D. Marvin, M. Senger et al., Taverna: a tool for the composition and enactment of bioinformatics workflows, Bioinformatics, vol.20, issue.17, pp.203045-3054, 2003.
DOI : 10.1093/bioinformatics/bth361

E. Rahm and P. A. Bernstein, A survey of approaches to automatic schema matching, The VLDB Journal, vol.10, issue.4, pp.334-350, 2001.
DOI : 10.1007/s007780100057

D. Roure, C. Goble, and R. Stevens, The design and realisation of the Virtual Research Environment for social sharing of workflows, Future Generation Computer Systems, vol.25, issue.5, pp.561-567, 2009.
DOI : 10.1016/j.future.2008.06.010

E. Santos, L. Lins, J. Ahrens, J. Freire, and C. Silva, A First Study on Clustering Collections of Workflow Graphs, pp.160-173, 2008.
DOI : 10.1007/978-3-540-89965-5_18

V. Silva, F. Chirigati, K. Maia, E. Ogasawara, D. Oliveira et al., Similarity-based workflow clustering, Journal of Computational Interdisciplinary Sciences, vol.2, issue.1, pp.23-35, 2011.
DOI : 10.6062/jcis.2011.02.01.0029

J. Stoyanovich, B. Taskar, and S. Davidson, Exploring repositories of scientific workflows, Proceedings of the 1st International Workshop on Workflow Approaches to New Data-centric Science, Wands '10, pp.1-710, 2010.
DOI : 10.1145/1833398.1833405

I. Wassink, P. Vet, K. Wolstencroft, P. Neerincx, M. Roos et al., Analysing Scientific Workflows: Why Workflows Not Only Connect Web Services, 2009 Congress on Services, I, pp.314-321, 2009.
DOI : 10.1109/SERVICES-I.2009.48

X. Xiang and G. Madey, Improving the reuse of scientific workflows and their by-products, ICWS, pp.792-799, 2007.

U. Yildiz, A. Guabtni, and A. Ngu, Business versus Scientific Workflows: A Comparative Study, 2009 Congress on Services, I, pp.340-343, 2009.
DOI : 10.1109/SERVICES-I.2009.60