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

R. Bergmann, M. Minor, S. Islam, P. Schumacher, and A. Stromer, Scaling similarity-based retrieval of semantic workflows, ICCBR-Workshop on Process-oriented Case-Based Reasoning, pp.15-24, 2012.

S. Cohen-boulakia and U. Leser, Search, adapt, and reuse, SIGMOD Record, 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

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, 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, 2009.

M. Dumas, L. García-bañuelos, and R. Dijkman, Similarity search of business process models, Data Engineering Bull, 2009.

N. Friesen and S. Rüping, Workflow Analysis Using Graph Kernels. SoKD, 2010.

A. Goderis, D. De-roure, C. Goble, J. Bhagat, D. Cruickshank et al., Discovering scientific workflows: The myexperiment benchmarks, IEEE Transactions on Automation Science and Engineering, 2008.

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

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

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

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

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

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, 2010.
DOI : 10.6062/jcis.2011.02.01.0029

J. Starlinger, B. Brancotte, S. Cohen-boulakia, and U. Leser, Similarity search for scientific workflows, Proceedings of the VLDB Endowment, vol.7, issue.12, p.2014
DOI : 10.14778/2732977.2732988
URL : https://hal.archives-ouvertes.fr/hal-01066046

J. Starlinger, S. Cohen-boulakia, S. Khanna, S. B. Davidson, and U. Leser, Layer Decomposition: An Effective Structure-Based Approach for Scientific Workflow Similarity, 2014 IEEE 10th International Conference on e-Science, 2014.
DOI : 10.1109/eScience.2014.19
URL : https://hal.archives-ouvertes.fr/hal-01066076

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

X. Xiang and G. Madey, Improving the Reuse of Scientific Workflows and Their By-products, ICWS, pp.792-799, 2007.

Z. Yan, R. Dijkman, and P. Grefen, Fast Business Process Similarity Search with Feature-Based Similarity Estimation, On the Move to Meaningful Internet Systems: OTM 2010, pp.60-77, 2010.
DOI : 10.1007/978-3-642-16934-2_8