R. , L. Langage-d-'inférence-apache-jena, X. Le-langage-de-requête-xquery, and . Java, Nous avons utilisé les technologies liéesliées`liéesà la plateforme WebLab telles que ainsi que des services WebLab existants Cette implémentation montre la faisabilité de notre modèle dans le cadre de la plateforme WebLab. 6.2. Perspectives 6.1.3 Réalisation Enfin, nous avons implanté ces deux modèles dans une démarche d'intégrationintégration`intégrationà la plateforme WebLab. Nous avons modifié l'orchestrateur de services (Java) afin de récolter des métadonnées d'exécution, et créé une grammaire (JavaCC) permettant de transformer nos r` egles en un langage intelligible par la machine (XQuery) Les données de provenance sont enregistrées dans un triplestore, au sein duquel nos r` egles de qualité, sous forme de r` egles d'inférence, permettent alors de créer les liens entre les dimensions de qualité. Nous avonségalementavonségalement réalisé une IHM 1 facilitantàfacilitant`facilitantà l'utilisateur la création de r` egles de provenance

P. Agrawal, O. Benjelloun, A. Das-sarma, C. Hayworth, S. Nabar et al., Trio A System for Data Uncertainty and Lineage, VLDB, pp.1151-1154, 2006.
DOI : 10.1007/978-0-387-09690-2_5

P. Alper, K. Belhajjame, C. A. Goble, and P. Karagoz, Enhancing and abstracting scientific workflow provenance for data publishing, Proceedings of the Joint EDBT/ICDT 2013 Workshops on, EDBT '13, pp.313-318, 2013.
DOI : 10.1145/2457317.2457370

I. Altintas, C. Berkley, E. Jaeger, M. Jones, B. Ludascher 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

Y. Amsterdamer, S. B. Davidson, D. Deutch, T. Milo, J. Stoyanovich et al., Putting lipstick on pig, Proc. VLDB Endow, pp.346-357, 2011.
DOI : 10.14778/2095686.2095693

M. Kumar-anand, S. Bowers, and B. Ludäscher, Techniques for efficiently querying scientific workflow provenance graphs, Proceedings of the 13th International Conference on Extending Database Technology, EDBT '10, pp.287-298, 2010.

M. Kumar-anand, S. Bowers, T. Mcphillips, and B. Ludäscher, Efficient provenance storage over nested data collections, Proceedings of the 12th International Conference on Extending Database Technology : Advances in Database Technology, EDBT '09, pp.958-969, 2009.

I. Askira-gelman and A. L. Barletta, A "quick and dirty" website data quality indicator, Proceeding of the 2nd ACM workshop on Information credibility on the web, WICOW '08, pp.43-46, 2008.
DOI : 10.1145/1458527.1458538

C. Batini and M. Scannapieca, Data quality : concepts, methodologies and techniques. Data-centric systems and applications, 2006.

K. Belhajjame, P. Missier, and C. A. Goble, Detecting Duplicate Records in Scientific Workflow Results, Proceedings of the 4th International Conference on Provenance and Annotation of Data and Processes, IPAW'12, pp.126-138, 2012.
DOI : 10.1007/978-3-642-34222-6_10

O. Benjelloun, A. Das-sarma, A. Halevy, and J. Widom, Uldbs : Databases with uncertainty and lineage, VLDB, 2006.

S. Boag, D. Chamberlin, M. F. Fernández, D. Florescu, J. Robie et al., XQuery 1.0 : An XML query language, W3C Recommendation, 2007.

P. Buneman, A. Chapman, and J. Cheney, Provenance management in curated databases, Proceedings of the 2006 ACM SIGMOD international conference on Management of data , SIGMOD '06, pp.539-550, 2006.
DOI : 10.1145/1142473.1142534

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

P. Buneman and W. Tan, Provenance in databases, Proceedings of the 2007 ACM SIGMOD international conference on Management of data , SIGMOD '07, pp.1171-1173, 2007.
DOI : 10.1145/1247480.1247646

H. Mark, J. R. Burstein, O. Hobbs, D. Lassila, D. V. Martin et al., Daml-s : Web service description for the semantic web, Proceedings of the First International Semantic Web Conference on The Semantic Web, ISWC '02, pp.348-363, 2002.

P. Steven, J. Callahan, E. Freire, C. E. Santos, C. T. Scheidegger et al., Vistrails : visualization meets data management, SIGMOD, pp.745-747, 2006.

C. Caron, B. Amann, C. Constantin, and P. Giroux, Wepige : The weblab provenance information generator and explorer, EDBT, pp.664-667, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01217477

A. Chapman, B. Blaustein, and C. Elsaesser, Provenance-based belief, Proceedings of the 2Nd Conference on Theory and Practice of Provenance, pp.11-11, 2010.

J. Cheney, L. Chiticariu, and W. Tan, Provenance in Databases: Why, How, and Where, Foundations and Trends in Databases, vol.1, issue.4, pp.379-474, 2009.
DOI : 10.1561/1900000006

R. Cheng, J. Chen, and X. Xie, Cleaning uncertain data with quality guarantees, Proceedings of the VLDB Endowment, vol.1, issue.1, pp.722-735, 2008.
DOI : 10.14778/1453856.1453935

S. Cohen-boulakia, O. Biton, S. Cohen, and S. Davidson, Addressing the provenance challenge using zoom. Concurrency and Computation : Practice and Experience, pp.497-506, 2008.

Y. Cui and J. Widom, Lineage tracing for general data warehouse transformations, The VLDB Journal The International Journal on Very Large Data Bases, vol.12, issue.1, pp.41-58, 2003.
DOI : 10.1007/s00778-002-0083-8

J. Stéfan, V. Darmoni, M. Leroux, B. Daigne, P. Thirion et al., Critères de qualité de l'information de santé sur l'Internet, Informatique et Santé, vol.10, pp.162-174, 1998.

B. Susan, S. C. Davidson, A. Boulakia, B. Eyal, . Ludäscher et al., Provenance in scientific workflow systems, IEEE Data Eng. Bull, vol.30, issue.4, pp.44-50, 2007.

B. Susan, J. Davidson, and . Freire, Provenance and scientific workflows : Challenges and opportunities, SIGMOD, pp.1345-1350, 2008.

B. Susan, J. Davidson, and . Freire, Provenance and scientific workflows : challenges and opportunities, Proceedings of the 2008 ACM SIGMOD international conference on Management of data, SIGMOD '08, pp.1345-1350, 2008.

J. Doucy, H. Abdulrab, P. Giroux, and J. Kotowicz, A New Approach to Populate a Semantic Service Registry, Proceedings of the 2010 international conference on Web information systems engineering, WISS'10, pp.112-125, 2011.
DOI : 10.1109/MIC.2007.134

G. Grahne, Dependency satisfaction in databases with incomplete information, Proceedings of the 10th International Conference on Very Large Data Bases, VLDB '84, pp.37-45, 1984.

T. J. Green, G. Karvounarakis, Z. G. Ives, and V. Tannen, Update exchange with mappings and provenance, Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB '07, pp.675-686, 2007.

T. J. Green, G. Karvounarakis, and V. Tannen, Provenance semirings, Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '07, pp.31-40, 2007.
DOI : 10.1145/1265530.1265535

F. Guillet, Quality Measures in Data Mining, 2009.
DOI : 10.1007/978-3-540-44918-8
URL : https://hal.archives-ouvertes.fr/hal-00445178

O. Hartig and J. Zhao, Using web data provenance for quality assessment, In : Proc. of the Workshop on Semantic Web and Provenance Management at ISWC, 2009.

R. Hook, . Romaniello, . Ullgrén, . Järveläinen, . Maisala et al., ESO Reflex: A Graphical Workflow Engine for Running Recipes, The 2007 ESO Instrument Calibration Workshop, pp.169-175, 2008.
DOI : 10.1007/978-3-540-76963-7_23

D. Hull, K. Wolstencroft, R. Stevens, C. Goble, M. R. Pocock et al., Taverna: a tool for building and running workflows of services, Nucleic Acids Research, vol.34, issue.Web Server, pp.729-732, 2006.
DOI : 10.1093/nar/gkl320

T. Imieli´nskiimieli´nski, W. Lipski, and J. , Incomplete Information in Relational Databases, Journal of the ACM, vol.31, issue.4, pp.761-791, 1984.
DOI : 10.1145/1634.1886

V. Levenshtein, Binary codes capable of correcting deletions, insertions and reversals, Soviet Physics Doklady, p.707, 1966.

Y. Liu, A. H. Ngu, and L. Z. Zeng, QoS computation and policing in dynamic web service selection, Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters , WWW Alt. '04, pp.66-73, 2004.
DOI : 10.1145/1013367.1013379

L. Moreau, The Foundations for Provenance on the Web, Foundations and Trends?? in Web Science, vol.2, issue.2-3, pp.99-241, 2010.
DOI : 10.1561/1800000010

L. Moreau, J. Freire, J. Futrelle, . Roberte, J. Mcgrath et al., The Open Provenance Model: An Overview, Provenance and Annotation of Data and Processes, pp.323-326
DOI : 10.1007/978-3-540-89965-5_31

R. Kevin, B. Page, . Fields, J. Bart, . Nagel et al., Semantics for music analysis through linked data : How country is my country ? In e-Science (e-Science), IEEE Sixth International Conference on, pp.41-48, 2010.

B. Pernici and M. Scannapieco, Data quality in web information systems, Proceedings of the 21st International Conference on Conceptual Modeling, ER '02, pp.397-413, 2002.

L. Leo, Y. W. Pipino, R. Y. Lee, and . Wang, Data quality assessment, Commun. ACM, vol.45, issue.4, pp.211-218, 2002.

L. Yogesh, B. Simmhan, D. Plale, and . Gannon, A survey of data provenance in e-science, SIGMOD Rec, vol.34, issue.3, pp.31-36, 2005.

S. Staworko and P. Wieczorek, Learning twig and path queries, Proceedings of the 15th International Conference on Database Theory, ICDT '12, 2012.
DOI : 10.1145/2274576.2274592
URL : https://hal.archives-ouvertes.fr/hal-00643097

D. Robert, A. J. Stevens, C. A. Robinson, and . Goble, mygrid : personalised bioinformatics on the information grid, Bioinformatics, vol.19, issue.1, pp.302-304, 2003.

S. Viswanadha and S. Sankar, Java compiler compiler (javacc) -the java parser generator, 2009.

Y. Richard, D. M. Wang, and . Strong, Beyond accuracy : What data quality means to data consumers, J. Manage. Inf. Syst, vol.12, issue.4, pp.5-33, 1996.

Z. Wu and M. Palmer, Verbs semantics and lexical selection, Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, pp.133-138, 1994.
DOI : 10.3115/981732.981751

T. Yu, Y. Zhang, and K. Lin, Efficient algorithms for Web services selection with end-to-end QoS constraints, ACM Transactions on the Web, vol.1, issue.1, 2007.
DOI : 10.1145/1232722.1232728

L. Zeng, B. Benatallah, A. H. Ngu, M. Dumas, J. Kalagnanam et al., QoS-aware middleware for Web services composition, IEEE Transactions on Software Engineering, vol.30, issue.5, pp.311-327, 2004.
DOI : 10.1109/TSE.2004.11

L. Zeng, H. Lei, and H. Chang, Monitoring the QoS for Web Services, Service-Oriented Computing ? ICSOC 2007, pp.132-144, 2007.
DOI : 10.1007/978-3-540-74974-5_11

H. Zheng, W. Zhao, J. Yang, and A. Bouguettaya, QoS Analysis for Web Service Composition, 2009 IEEE International Conference on Services Computing, pp.235-242, 2009.
DOI : 10.1109/SCC.2009.28