. Le, . Health-data, and . Hub,

Y. Rivault, O. Dameron, L. Meur, and N. , Une infrastructure générique basée sur les apports du Web Sémantique pour l'analyse des bases médico-administratives, conférence Ingénierie des Connaissances, 2015.

Y. Rivault, O. Dameron, L. Meur, and N. , La gestion de données médico-administratives grâce aux outils du Web sémantique, Journées ADELF-EMOIS, vol.64, p.15, 2016.

Y. Rivault, N. Le-meur, and O. Dameron, Complications post-opératoires et mode de prise en charge en angioplastie : apport du Programme de Médicalisation des Systèmes d'Information (PMSI), Congrès Adelf-Epiter, p.47, 2016.

Y. Rivault, N. Le-meur, and O. Dameron, Mesures de similarité entre trajectoires de soins issues de bases de données médico-administratives, 2017.

Y. Rivault, N. Le-meur, and O. Dameron, A Similarity Measure Based on Care Trajectories as Sequences of Sets, In Artificial Intelligence in Medicine, pp.278-282, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01558123

Y. Rivault, O. Dameron, L. Meur, and N. , Ontologies biomédicales et Web Sé-mantique pour la réutilisation des bases de données médico-administratives en pharmaco-épidémiologie, 7ème Journées Francophones sur les Ontologies, 2018.

Y. Rivault, O. Dameron, L. Meur, and N. , queryMed : enrichissement des données de recherche en pharmaco-épidémiologie, Septièmes rencontres R, pp.1-2, 2018.

Y. Rivault, O. Dameron, L. Meur, and N. , , vol.66, p.42, 2018.

S. Ayvaz, J. Horn, O. Hassanzadeh, Q. Zhu, J. Stan et al., Toward a Complete Dataset of Drug-drug Interaction Information from Publicly Available Sources, Journal of Biomedical Informatics, vol.55, pp.206-223, 2015.

A. Callahan, J. Cruz-toledo, P. Ansell, and M. Dumontier, Bio2RDF Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data, The Semantic Web, p.6, 2013.

B. Semantics and . Data, Lecture Notes in Computer Science. Springer, pp.200-212

J. D. Ferreira, D. Paolotti, M. Francisco, M. Couto, and . Silva, On the Usefulness of Ontologies in Epidemiology Research and Practice, Journal of Epidemiology and Community Health, vol.67, issue.5, pp.385-88, 2013.

J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas et al., DBpedia -A Large-Scale, Multilingual Knowledge Base Extracted from Wikipedia, 2015.

E. Ong, Z. Xiang, B. Zhao, Y. Liu, Y. Lin et al., Ontobee: A Linked Ontology Data Server to Support Ontology Term Dereferencing, Linkage, Query and Integration, Nucleic Acids Research, vol.45, issue.D1, pp.347-352, 2017.

. Pathak, R. C. Jyotishman, C. G. Kiefer, and . Chute, Using Linked Data for Mining Drug-Drug Interactions in Electronic Health Records, Studies in Health Technology and Informatics, vol.192, pp.682-86, 2013.

. Salvadores, P. R. Manuel, M. A. Alexander, N. F. Musen, and . Noy, BioPortal as a Dataset of Linked Biomedical Ontologies and Terminologies in RDF, Semantic Web, vol.4, issue.3, pp.277-84, 2013.

M. E. Sharp, Toward a Comprehensive Drug Ontology: Extraction of Drug-Indication Relations from Diverse Information Sources, Journal of Biomedical Semantics, vol.8, issue.1, 2017.

P. L. Whetzel, F. Natalya, . Noy, H. Nigam, P. R. Shah et al., BioPortal: Enhanced Functionality via New Web Services from the National Center for Biomedical Ontology to Access and Use Ontologies in Software Applications, Nucleic Acids Research, vol.39, pp.541-545, 2011.

. References-serkan-ayvaz, Toward a complete dataset of drug-drug interaction information from publicly available sources, Journal of Biomedical Informatics, vol.55, pp.206-217, 2015.

A. Callahan, Bio2rdf Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data, The Semantic Web: Semantics and Big Data, pp.200-212, 2013.

G. Durrieu, Use of administrative hospital database to identify adverse drug reactions in a Pediatric University Hospital, European Journal of Clinical Pharmacology, vol.70, issue.12, pp.1519-1526, 2014.

D. João and . Ferreira, On the usefulness of ontologies in epidemiology research and practice, Journal of Epidemiology and Community Health, vol.67, issue.5, pp.385-388, 2012.

P. Jain, Linked Data is Merely More Data, Papers from the AAAI Spring Symposium: Linked Data Meets Artificial Intelligence, pp.82-86, 2010.

C. Jonquet, Un portail ouvert et générique d'ontologies et de terminologies biomédicales françaises au service de l'annotation sémantique, JFIM: Journées Francophones d'Informatique Médicale, 2016.

N. Kurbatova, Ontology traversal and search, 2015.

J. Lehmann, Dbpedia -a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web, vol.6, pp.167-195, 2015.

A. Nobili, Potentially severe drug interactions in elderly outpatients: results of an observational study of an administrative prescription database, Journal of Clinical Pharmacy and Therapeutics, vol.34, issue.4, pp.377-386, 2009.

E. Ong, A linked ontology data server to support ontology term dereferencing, linkage, query and integration, Nucleic Acids Research, vol.45, issue.D1, pp.347-352, 2017.

J. Pathak, Using linked data for mining drug-drug interactions in electronic health records, Studies in Health Technology and Informatics, vol.192, pp.682-686, 2013.

. R-core-team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2017.

E. Mark and . Sharp, Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources, Journal of Biomedical Semantics, vol.8, issue.1, 2017.

W. Robert-van-hage, SPARQL: SPARQL client, 2013.

P. L. Whetzel, BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications, Nucleic Acids Research, vol.39, pp.541-545, 2011.

E. Willighagen, Accessing biological data in R with semantic web technologies, 2014.

P. Tuppin, L. De-roquefeuil, A. Weill, P. Ricordeau, and Y. Merlière, French national health insurance information system and the permanent beneficiaries sample, Rev Epidemiol Sante Publique, vol.58, pp.286-290, 2010.

G. Moulis, M. Lapeyre-mestre, A. Palmaro, G. Pugnet, J. Montastruc et al., French health insurance databases: What interest for medical research, Rev Med Interne, vol.36, pp.411-417, 2015.

N. Jay, G. Nuemi, M. Gadreau, and C. Quantin, A data mining approach for grouping and analyzing trajectories of care using claim data: the example of breast cancer, BMC Med Inform Decis Mak, vol.13, p.130, 2013.
URL : https://hal.archives-ouvertes.fr/inserm-00917359

L. Meur, N. Gao, F. Bayat, and S. , Mining care trajectories using health administrative information systems: the use of state sequence analysis to assess disparities in prenatal care consumption, BMC Health Serv Res, vol.15, p.200, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01169792

C. Pesquita, D. Faria, A. O. Falcão, P. Lord, and F. M. Couto, Semantic Similarity in Biomedical Ontologies, PLoS Computational Biology, vol.5, p.1000443, 2009.

D. Girardi, S. Wartner, G. Halmerbauer, M. Ehrenmüller, H. Kosorus et al., Using concept hierarchies to improve calculation of patient similarity, Journal of Biomedical Informatics, vol.63, pp.66-73, 2016.

M. Studer, G. Ritschard, G. Ritschard, and G. Ritschard, A comparative review of sequence dissimilarity measures. LIVES Working Papers, pp.1-47, 2014.

D. S. Hirschberg, A linear space algorithm for computing maximal common subsequences, Communications of the ACM, vol.18, pp.341-343, 1975.

R. Bellman, The theory of dynamic programming, Bull. Amer. Math. Soc, vol.60, pp.503-515, 1954.

Z. Wu and M. Palmer, Verbs semantics and lexical selection, Presented at the Proceedings of the 32nd annual meeting on Association for Computational Linguistics, 1994.

S. Adeyemi, E. Demir, and T. Chaussalet, Towards an evidence-based decision making healthcare system management: Modelling patient pathways to improve clinical outcomes. Decision Support Systems, vol.55, p.14, 2013.

R. Agrawal and R. Srikant, Fast Algorithms for Mining Association Rules in Large Databases, Proceedings of the 20th International Conference on Very Large Data Bases, VLDB '94, pp.487-499, 1994.

R. Agrawal and R. Srikant, Mining Sequential Patterns, Proceedings of the Eleventh International Conference on Data Engineering, ICDE '95, pp.3-14, 1995.

R. Agrawal, T. Imieli?ski, and A. Swami, Mining Association Rules Between Sets of Items in Large Databases, Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, SIGMOD '93, pp.207-216, 1993.

J. Ainsworth and I. Buchan, COCPIT: a tool for integrated care pathway variance analysis, Studies in Health Technology and Informatics, vol.180, pp.995-999, 2012.

A. Anjum, P. Bloodsworth, A. Branson, T. Hauer, R. Mcclatchey et al., The Requirements for Ontologies in Medical Data Integration: A Case Study, 2007.

S. Ayvaz, J. Horn, O. Hassanzadeh, Q. Zhu, J. Stan et al., Toward a complete dataset of drug-drug interaction information from publicly available sources, Journal of Biomedical Informatics, vol.55, p.65, 2015.

J. B. Bard and S. Y. Rhee, Ontologies in biology: design, applications and future challenges, Nature Reviews. Genetics, vol.5, issue.3, pp.213-222, 2004.

R. J. Bayardo, R. Agrawal, G. , and D. , Constraint-Based Rule Mining in Large, Dense Databases, Data Mining and Knowledge Discovery, vol.4, issue.2, pp.217-240, 2000.

R. Bibliographie-bellman, The theory of dynamic programming, Bulletin of the American Mathematical Society, vol.60, issue.6, pp.503-515, 1954.

C. Bettembourg, O. Dameron, A. Bretaudeau, and F. Legeai, AskOmics : Inté-gration et interrogation de réseaux de régulation génomique et post-génomique, vol.7, p.65, 2015.

O. Bodenreider, The Unified Medical Language System (UMLS): integrating biomedical terminology, Nucleic Acids Research, vol.32, pp.267-270, 2004.

A. Callahan, J. Cruz-toledo, P. Ansell, and M. Dumontier, Bio2rdf Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data, The Semantic Web: Semantics and Big Data, pp.200-212, 2013.

H. Campbell, R. Hotchkiss, N. Bradshaw, and M. Porteous, Integrated care pathways, BMJ, vol.316, issue.7125, p.14, 1998.

S. Carbon, H. Dietze, S. E. Lewis, C. J. Mungall, M. C. Munoz-torres et al., Expansion of the gene ontology knowledgebase and resources: The gene ontology consortium, Nucleic acids research, vol.45, issue.D1, p.107, 2017.

. Century, Institute of Medicine (US) Committee on Assuring the Health of the Public in the 21st. Understanding Population Health and Its Determinants, 2002.

A. K. Chandanan and M. K. Shukla, Removal of Duplicate Rules for Association Rule Mining from Multilevel Dataset, Procedia Computer Science, vol.45, p.89, 2015.

P. Chen, R. M. Verma, J. C. Meininger, C. , and W. , Semantic Analysis of Association Rules, FLAIRS Conference, 2008.

M. F. Collen, Computer Medical Databases: The First Six Decades, Health Informatics, p.47, 1950.

S. Concaro, L. Sacchi, C. Cerra, P. Fratino, and R. Bellazzi, Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use, Artificial Intelligence in Medicine, pp.16-25

H. Springer-berlin, , p.31, 2009.

V. Daien, J. Korobelnik, C. Delcourt, A. Cougnard-gregoire, M. N. Delyfer et al., Medical-Administrative Database for Epidemiology and Safety in Ophthalmology (EPISAFE): The EPISAFE Collaboration Program in Cataract Surgery, Ophthalmic Research, vol.58, issue.2, pp.67-73, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01595721

F. J. Damerau, A Technique for Computer Detection and Correction of Spelling Errors, Commun. ACM, vol.7, issue.3, p.28, 1964.

Y. Dauxais, T. Guyet, D. Gross-amblard, A. ;. Happe, C. Popow et al., Discriminant Chronicles Mining, Artificial Intelligence in Medicine, pp.234-244, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01568929

G. Defossez, A. Rollet, O. Dameron, and P. Ingrand, Temporal representation of care trajectories of cancer patients using data from a regional information system: an application in breast cancer, BMC Medical Informatics and Decision Making, vol.14, issue.1, p.14, 2014.
URL : https://hal.archives-ouvertes.fr/inserm-00977900

S. Deneckere, M. Euwema, P. Van-herck, C. Lodewijckx, M. Panella et al., Care pathways lead to better teamwork: results of a systematic review, Social Science & Medicine, vol.75, issue.2, p.14, 1982.

M. Dowle, A. Srinivasan, and . Data, table: Extension of 'data.frame, vol.64, 2018.

E. Egho, N. Jay, C. Raïssi, G. Nuemi, C. Quantin et al., An Approach for Mining Care Trajectories for Chronic Diseases, Artificial Intelligence in Medicine, pp.258-267, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00883117

E. Egho, C. Raïssi, D. Ienco, N. Jay, A. Napoli et al., Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets, New Frontiers in Mining Complex Patterns, pp.109-123, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00801813

E. Egho, C. Raïssi, T. Calders, N. Jay, and A. Napoli, On measuring similarity for sequences of itemsets, Data Mining and Knowledge Discovery, vol.29, issue.3, pp.732-764, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00740231

S. Epskamp, A. O. Cramer, L. J. Waldorp, V. D. Schmittmann, D. Borsboom et al., Network Visualizations of Relationships in Psychometric Data, Journal of Statistical Software, vol.48, issue.4, pp.1-18, 2012.

J. D. Ferreira, D. Paolotti, F. M. Couto, and M. J. Silva, On the usefulness of ontologies in epidemiology research and practice, Journal of Epidemiology and Community Health, vol.67, issue.5, pp.385-388, 2013.

R. B. Fetter, Y. Shin, J. L. Freeman, R. F. Averill, and J. D. Thompson, Case mix definition by diagnosis-related groups, Medical Care, vol.18, issue.2, pp.1-53, 1980.

F. Fourquet, F. Demont, A. I. Lecuyer, M. A. Rogers, and D. H. Bloc, PMSI et surveillance des infections nosocomiales : théorie et faisabilité. Médecine et Maladies Infectieuses, vol.33, pp.110-113, 2003.

/. S0399-077x, , p.13

L. Geng, H. J. Hamilton, J. Kacprzyk, F. J. Guillet, and H. J. Hamilton, Choosing the Right Lens: Finding What is Interesting in Data Mining, Quality Measures in Data Mining, vol.43, pp.3-24, 2007.

I. Georgescu and F. G. Hartmann, Sources of financial pressure and up coding behavior in French public hospitals, Health Policy, vol.110, issue.2-3, p.13, 2013.
URL : https://hal.archives-ouvertes.fr/hal-02100570

D. Girardi, J. Dirnberger, and M. Giretzlehner, An ontology-based clinical data warehouse for scientific research, Safety in Health, vol.1, issue.1, p.6, 2015.

D. Girardi, S. Wartner, G. Halmerbauer, M. Ehrenmüller, H. Kosorus et al., Using concept hierarchies to improve calculation of patient similarity, Journal of Biomedical Informatics, vol.63, pp.66-73, 2016.

M. Goldberg, C. Quantin, A. Guégen, and M. Zins, Bases de données médico-administratives et épidémiologie : intérêts et limites, 2008.

L. Grammatico-guillon, S. Baron, C. Gaborit, E. Rusch, and P. Astagneau, Quality assessment of hospital discharge database for routine surveillance of hip and knee arthroplasty-related infections, Infection Control and Hospital Epidemiology, vol.35, issue.6, p.13, 2014.

J. Grosjean, T. Merabti, B. Dahamna, I. Kergourlay, B. Thirion et al., Health multi-terminology portal: a semantic added-value for patient safety, Studies in Health Technology and Informatics, vol.166, pp.129-138, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00845364

G. Grothendieck, sqldf: Manipulate R Data Frames Using SQL, p.47, 2017.

T. R. Gruber, Toward Principles for the Design of Ontologies Used for Knowledge Sharing, Int. J. Hum.-Comput. Stud, vol.43, p.15, 1995.

F. Guillet and H. J. Hamilton, Quality Measures in Data Mining. Studies in Computational Intelligence, p.31, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00445178

T. Guyet, A. Happe, and Y. Dauxais, Declarative Sequential Pattern Mining of Care Pathways, vol.24, pp.1161-266, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01569023

W. R. Hage and . Others, SPARQL: SPARQL client, p.66, 2013.

M. Hahsler, B. Gruen, and K. Hornik, arules -A Computational Environment for Mining Association Rules and Frequent Item Sets, Journal of Statistical Software, vol.14, issue.15, pp.1-25, 2005.

R. W. Hamming, Error detecting and error correcting codes. The Bell System Technical Journal, vol.29, pp.147-160, 1950.

D. S. Hirschberg, A linear space algorithm for computing maximal common subsequences, Communications of the ACM, vol.18, issue.6, pp.341-343, 1975.

I. Horrocks, Principles and Practice of Constraint Programming -CP, Lecture Notes in Computer Science, pp.5-8, 2005.

. Bibliographie,

E. M. Hylek, H. Heiman, S. J. Skates, M. A. Sheehan, and D. E. Singer, Acetaminophen and other risk factors for excessive warfarin anticoagulation, JAMA, vol.279, issue.9, pp.657-662, 1998.

M. Ivanovi? and Z. Budimac, An overview of ontologies and data resources in medical domains, Expert Systems with Applications, vol.41, issue.11, p.25, 2014.

P. Jain, P. Hitzler, P. Yeh, K. Verma, and A. Sheth, Linked Data is Merely More Data, Papers from the AAAI Spring Symposium: Linked Data Meets Artificial Intelligence, pp.82-86, 2010.

D. Janke, A. Skubella, and S. Staab, Evaluating SPARQL 1.1 Property Path Support, BLINK/NLIWoD3@ISWC, 2017, p.111

M. A. Jaro, Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida, Journal of the American Statistical Association, vol.84, issue.406, p.28, 1989.

N. Jay and M. Aquin, Linked Data and Online Classifications to Organise Mined Patterns in Patient Data, AMIA Annual Symposium Proceedings, pp.681-690, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00903261

N. Jay, G. Nuemi, M. Gadreau, and C. Quantin, A data mining approach for grouping and analyzing trajectories of care using claim data: the example of breast cancer, BMC Medical Informatics and Decision Making, vol.13, issue.1, p.130, 2013.
URL : https://hal.archives-ouvertes.fr/inserm-00917359

C. Jonquet, N. Shah, and M. Musen, Un service Web pour l'annotation sémantique de données biomédicales avec des ontologies, 13èmes Journées Francophones d'Informatique Médicale, JFIM'09, vol.17, p.12, 2009.

C. Jonquet, A. Annane, K. Bouarech, V. Emonet, S. Melzi et al., Un portail ouvert et générique d'ontologies et de terminologies biomédicales françaises au service de l'annotation sémantique, JFIM: Journées Francophones d'Informatique Médicale, p.21, 2016.

R. Kost, B. Littenberg, C. , and E. S. , Exploring Generalized Association Rule Mining for Disease Co-Occurrences, AMIA Annual Symposium Proceedings, pp.1284-1293, 2012.

N. Kurbatova and . Others, ontoCAT: an R package for ontology traversal and search, Bioinformatics, vol.27, issue.17, p.66, 2011.

L. Meur, N. Gao, F. Bayat, and S. , Mining care trajectories using health administrative information systems: the use of state sequence analysis to assess disparities in prenatal care consumption, BMC Health Services Research, vol.15, issue.1, p.200, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01169792

J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas et al., DBpedia -A large-scale, multilingual knowledge base extracted from Wikipedia, 2015.

L. Létinier, S. Cossin, Y. Mansiaux, M. Arnaud, J. Bezin et al., Prévalence et description des situations à risque d'interactions médicamen-teuses en France à partir des données de l'Assurance maladie, vol.66, p.22, 2018.

V. I. Levenshtein, Binary Codes Capable of Correcting Deletions, Insertions and Reversals. Soviet Physics Doklady, vol.10, p.28, 1966.

X. Li, J. Mei, H. Liu, Y. Yu, G. Xie et al., Analysis of care pathway variation patterns in patient records, Studies in Health Technology and Informatics, vol.210, p.27, 2015.

S. Lim, K. Lee, and J. Kang, Drug drug interaction extraction from the literature using a recursive neural network, PLOS ONE, vol.13, issue.1, p.107, 2018.

I. Mahé, Principes d'utilisation du traitement anticoagulant chez le sujet âgé en médecine, Sang Thrombose Vaisseaux, vol.16, issue.7, pp.339-345, 2004.

P. Manda, S. Ozkan, H. Wang, F. Mccarthy, and S. M. Bridges, Cross-Ontology Multi-level Association Rule Mining in the Gene Ontology, PLoS ONE, vol.7, issue.10, p.88, 2012.

G. Maura, C. Billionnet, J. Coste, A. Weill, A. Neumann et al., Nonbleeding Adverse Events with the Use of Direct Oral Anticoagulants: A Sequence Symmetry Analysis, Drug Safety, vol.41, issue.9, pp.881-897, 2018.

G. Navarro, A Guided Tour to Approximate String Matching, ACM Comput. Surv, vol.33, issue.1, pp.31-88, 2001.

. Bibliographie,

E. Ong, Z. Xiang, B. Zhao, Y. Liu, Y. Lin et al., Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration, Nucleic Acids Research, vol.45, issue.D1, pp.347-352, 2017.

P. Ornetti, R. Ciappuccini, C. Tavernier, and J. F. Maillefert, Interaction between paracetamol and oral anticoagulants, Rheumatology, vol.44, issue.12, pp.1584-1585, 2005.

P. L. Owens, M. L. Barrett, S. Raetzman, M. Maggard-gibbons, and C. A. Steiner, Surgical Site Infections Following Ambulatory Surgery Procedures, JAMA, vol.311, issue.7, p.709, 2014.

M. Panella, S. Marchisio, D. Stanislao, and F. , Reducing clinical variations with clinical pathways: do pathways work? International Journal for Quality in Health Care, vol.15, p.14, 2003.

H. Park and N. R. Hardiker, Clinical terminologies : a solution for semantic interoperability, Journal of Korean Society of Medical Informatics, vol.15, pp.1-11, 2009.

J. Pathak, R. C. Kiefer, and C. G. Chute, Applying Linked Data Principles to Represent Patient's Electronic Health Records at Mayo Clinic: A Case Report, Proceedings of the 2Nd ACM SIGHIT International Health Informatics Symposium, IHI '12, p.25, 2012.

J. Pathak, R. C. Kiefer, and C. G. Chute, Using semantic web technologies for cohort identification from electronic health records for clinical research, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, p.26, 2012.

J. Pathak, R. C. Kiefer, and C. G. Chute, Using linked data for mining drugdrug interactions in electronic health records, Studies in Health Technology and Informatics, vol.192, pp.682-686, 2013.

R. Paul, T. Groza, J. Hunter, and A. Zankl, Semantic interestingness measures for discovering association rules in the skeletal dysplasia domain, Journal of Biomedical Semantics, vol.5, issue.8, 2014.

C. Pesquita, D. Faria, A. O. Falcão, P. Lord, and F. M. Couto, Semantic Similarity in Biomedical Ontologies, PLoS Computational Biology, vol.5, issue.7, p.79, 2009.

J. Pinaire, J. Azé, S. Bringay, and P. Landais, Infarctus du myocarde : quelles sont les trajectoires de soins pronostiques du décès à l'hôpital? In IC, vol.30, 2017.

J. Pinaire, J. Azé, S. Bringay, and P. Landais, Patient healthcare trajectory. An essential monitoring tool: a systematic review, Health Information Science and Systems, vol.5, issue.1, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01566986

R. Piro, Y. Nenov, B. Motik, I. Horrocks, P. Hendler et al., Semantic Technologies for Data Analysis in Health Care, The Semantic Web -ISWC 2016, pp.400-417, 2016.

M. Plantevit, A. Laurent, D. Laurent, M. Teisseire, and Y. W. Choong, Mining multidimensional and multilevel sequential patterns, ACM Transactions on Knowledge Discovery from Data (TKDD), vol.4, p.74, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01381826

G. Pollock, Holistic trajectories: a study of combined employment, housing and family careers by using multiple-sequence analysis, Journal of the Royal Statistical Society: Series A (Statistics in Society, vol.170, issue.1, pp.167-183, 2007.

. R-core-team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2017.

M. Rinne, H. Abdullah, S. Törmä, E. Nuutila, R. Meersman et al., Processing Heterogeneous RDF Events with Standing SPARQL Update Rules, On the Move to Meaningful Internet Systems: OTM 2012, p.47, 2012.

G. Ritschard, A. Gabadinho, N. S. Mueller, and M. Studer, Mining event histories: A social science perspective, International Journal of Data Mining, Modelling and Management, vol.1, issue.1, pp.68-90, 2008.

T. Rotter, L. Kinsman, E. James, A. Machotta, H. Gothe et al., Clinical pathways: effects on professional practice, patient outcomes, length of stay and hospital costs, The Cochrane Database of Systematic Reviews, issue.3, p.6632, 2010.

J. Roux, O. Grimaud, and E. Leray, Multichannel sequence analysis: An innovative method to study patterns of care pathways. Application to multiple sclerosis based on French Health Insurance data. Revue d'Épidémiologie et de Santé Publique, vol.66, pp.430-431, 2018.

J. Roux, O. Grimaud, and E. Leray, Use of state sequence analysis for care pathway analysis: The example of multiple sclerosis, Statistical Methods in Medical Research, p.0962280218772068, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01798652

M. Salvadores, M. Horridge, P. R. Alexander, R. W. Fergerson, M. A. Musen et al., Using SPARQL to Query Bioportal Ontologies and Metadata, Proceedings of the 11th International Conference on The Semantic Web -Volume Part II, ISWC'12, pp.180-195, 2012.

A. Samet, T. Guyet, and B. Negrevergne, Mining rare sequential patterns with ASP, ILP 2017 -27th International Conference on Inductive Logic Programming, p.108, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01569582

G. Schrijvers, A. Van-hoorn, and N. Huiskes, The care pathway: concepts and theories: an introduction, International Journal of Integrated Care, vol.12, 2012.

M. E. Sharp, Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources, Journal of Biomedical Semantics, vol.8, 2017.

G. Shaw, Y. Xu, and S. Geva, Eliminating redundant association rules in multilevel datasets, Faculty of Science and Technology, p.89, 2009.
DOI : 10.1109/wiiat.2008.39
URL : http://eprints.qut.edu.au/18459/1/c18459.pdf

B. Smith, M. Ashburner, C. Rosse, J. Bard, W. Bug et al., The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration, Nature Biotechnology, vol.25, issue.11, pp.1251-1255, 2007.

R. Srikant, R. ;. Agrawal, M. Bouzeghoub, and G. Gardarin, Mining sequential patterns: Generalizations and performance improvements, Advances in Database Technology -EDBT '96, pp.1-17, 1996.
DOI : 10.1007/bfb0014140

M. Studer and G. Ritschard, What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures, Journal of the Royal Statistical Society: Series A (Statistics in Society, vol.179, issue.2, pp.481-511, 2016.

P. Tuppin, L. De-roquefeuil, A. Weill, P. Ricordeau, and Y. Merlière, French national health insurance information system and the permanent beneficiaries sample, Revue D'epidemiologie Et De Sante Publique, vol.58, issue.4, pp.286-290, 2010.

P. Tuppin, J. Rudant, P. Constantinou, C. Gastaldi-ménager, A. Rachas et al., Value of a national administrative database to guide public decisions: From the système national d'information interrégimes de l'Assurance Maladie (SNIIRAM) to the système national des données de santé (SNDS) in France, Revue D'epidemiologie Et De Sante Publique, vol.65, pp.149-167, 2017.

P. L. Whetzel, N. F. Noy, N. H. Shah, P. R. Alexander, C. Nyulas et al., BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications, Nucleic Acids Research, vol.39, pp.541-545, 2011.

H. Wickham, R. François, L. Henry, K. Müller, and . Dplyr, A Grammar of Data Manipulation, p.64, 2018.

F. Wilcoxon, Individual Comparisons by Ranking Methods. Biometrics Bulletin, vol.1, issue.6, p.86, 1945.

R. Williams, I. E. Buchan, M. Prosperi, and J. Ainsworth, Using String Metrics to Identify Patient Journeys through Care Pathways. AMIA, Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, pp.1208-1217, 2014.

E. Willighagen, Accessing biological data in R with semantic web technologies, 2014.

D. S. Wishart, C. Knox, A. C. Guo, D. Cheng, S. Shrivastava et al., DrugBank: a knowledgebase for drugs, drug actions and drug targets, Nucleic Acids Research, vol.36, pp.901-906, 2008.

K. Wongsuphasawat, C. Plaisant, M. Taieb-maimon, and B. Shneiderman, Querying Event Sequences by Exact Match or Similarity Search: Design and Empirical Evaluation, Interacting with computers, vol.24, issue.2, p.47, 2012.
DOI : 10.1016/j.intcom.2012.01.003
URL : http://europepmc.org/articles/pmc3286623?pdf=render

. Bibliographie,

Z. Wu and M. Palmer, Verbs semantics and lexical selection, pp.133-138, 1994.
DOI : 10.3115/981732.981751
URL : http://dl.acm.org/ft_gateway.cfm?id=981751&type=pdf

A. Yamaguchi, K. Kozaki, K. Lenz, H. Wu, and N. Kobayashi, An Intelligent SPARQL Query Builder for Exploration of Various Life-science Databases, Proceedings of the 3rd International Conference on Intelligent Exploration of Semantic Data, vol.1279, pp.83-94, 2014.

M. J. Zaki, SPADE: An Efficient Algorithm for Mining Frequent Sequences. Machine Learning, vol.42, pp.31-60, 2001.

L. Zhao, S. S. Yuan, S. Peng, and L. T. Wang, A New Efficient Data Cleansing Method, Database and Expert Systems Applications, p.484

H. Springer-berlin, , p.28, 2002.