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Rencontrer l'âme sœur, accéder aux études supérieures de son choix, trouver un emploi, obtenir le traitement médical attendu ? Aussi vieux que les sociétés humaines, les appariements entre deux individus ou entre une ressource et un individu ont récemment pris un tour radicalement nouveau : un nombre toujours plus grand d'entre eux sont confiés à des dispositifs (en général des plateformes), au sein desquels une technologie (en général un algorithme) effectue, à l'aide d'informations et de préférences personnelles, de longues séries de tris dans l'idée de créer le match optimal. Par son ampleur et sa généralisation, le phénomène bouleverse l'économie, modifie les mécanismes marchands, transforme la distribution de biens publics et le fonctionnement de la réciprocité et du don. En s'appuyant sur des exemples connus ou moins connus (Parcoursup, dons d'organe, attribution de logements sociaux, etc.), sociologues, économistes et politistes investiguent cette nouvelle manière d'organiser nos trajectoires individuelles afin de mettre en évidence ses implications politiques et sociales majeures.

Algorithmes --- Sociologie --- Changement social --- Communication --- Appariement (statistique) --- Algorithms --- Interpersonal communication --- Statistical matching --- Economics --- Société numérique. --- Technologies de l'information et de la communication. --- Individu et société. --- Sociologie économique. --- Communication interpersonnelle. --- Aspect social.

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Understanding the mechanisms involved in life (e. g. , discovering the biological functionofasetofproteins,inferringtheevolutionofasetofspecies)isbecoming increasinglydependent onprogressmade inmathematics,computer science,and molecular engineering. For the past 30 years, new high-throughput technologies have been developed generating large amounts of data, distributed across many data sources on the Web, with a high degree of semantic heterogeneity and di?erentlevelsofquality. However,onesuchdatasetisnot,byitself,su?cientfor scienti?c discovery. Instead, it must be combined with other data and processed by bioinformatics tools for patterns, similarities, and unusual occurrences to be observed. Both data integration and data mining are thus of paramount importance in life science. DILS 2007 was the fourth in a workshop series that aims at fostering d- cussion, exchange, and innovation in research and development in the areas of data integration and data management for the life sciences. Each previous DILS workshop attracted around 100 researchers from all over the world. This year, the number of submitted papers again increased. The Program Committee - lected 19 papers out of 52 full submissions. The DILS 2007 papers cover a wide spectrum of theoretical and practical issues including scienti?c work?ows, - notation in data integration, mapping and matching techniques, and modeling of life science data. Among the papers, we distinguished 13 papers presenting research on new models, methods, or algorithms and 6 papers presenting imp- mentation of systems or experience with systems in practice. In addition to the presented papers, DILS 2007 featured two keynote talks by Kenneth H. Buetow, National Cancer Institute, and Junhyong Kim, University of Pennsylvania.

Bioinformatics --- Statistical matching --- Computational biology --- Bio-informatique --- Appariement (Statistique) --- Congresses. --- Congrès --- Congresses --- Data integration (Computer science) --- Computing Methodologies --- Medical Informatics Applications --- Biology --- Medical Informatics --- Biological Science Disciplines --- Information Science --- Natural Science Disciplines --- Disciplines and Occupations --- Mathematical Computing --- Computational Biology --- Information Systems --- Computer Simulation --- Engineering & Applied Sciences --- Health & Biological Sciences --- Computer Science --- Biology - General --- Concatenation, File (Statistics) --- Data fusion (Statistics) --- Data matching (Statistics) --- Data merging (Statistics) --- File concatenation (Statistics) --- Fusion, Data (Statistics) --- Imputation, Mass (Statistics) --- Mass imputation (Statistics) --- Matching, Data (Statistics) --- Matching, Statistical --- Merging, Data (Statistics) --- Microsimulation modeling (Statistics) --- Modeling, Microsimulation (Statistics) --- Computer science. --- Health informatics. --- Database management. --- Data mining. --- Bioinformatics. --- Computational biology. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Health Informatics. --- Database Management. --- Information Systems Applications (incl. Internet). --- Computational Biology/Bioinformatics. --- Computer Appl. in Life Sciences. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Clinical informatics --- Health informatics --- Medical information science --- Medicine --- Informatics --- Science --- Data processing --- Sampling (Statistics) --- Medical records --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Database management --- Application software. --- Bioinformatics . --- Computational biology . --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Medical informatics.

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This book constitutes the refereed proceedings of the 5th International Workshop on Data Integration in the Life Sciences, DILS 2008, held in Evry, France in June 2008. The 18 revised full papers presented together with 3 keynote talks and a tutorial paper were carefully reviewed and selected from 54 submissions. The papers adress all current issues in data integration and data management from the life science point of view and are organized in topical sections on Semantic Web for the life sciences, designing and evaluating architectures to integrate biological data, new architectures and experience on using systems, systems using technologies from the Semantic Web for the life sciences, mining integrated biological data, and new features of major resources for biomolecular data.

Bioinformatics --- Statistical matching --- Computational biology --- Bio-informatique --- Appariement (Statistique) --- Congresses. --- Congrès --- Congresses --- Computational Biology --- Information Systems --- Mathematical Computing --- Computer Simulation --- Computing Methodologies --- Medical Informatics Applications --- Biology --- Biological Science Disciplines --- Information Science --- Medical Informatics --- Natural Science Disciplines --- Disciplines and Occupations --- Computer Science --- Biology - General --- Biophysics --- Engineering & Applied Sciences --- Health & Biological Sciences --- Data integration (Computer science) --- Concatenation, File (Statistics) --- Data fusion (Statistics) --- Data matching (Statistics) --- Data merging (Statistics) --- File concatenation (Statistics) --- Fusion, Data (Statistics) --- Imputation, Mass (Statistics) --- Mass imputation (Statistics) --- Matching, Data (Statistics) --- Matching, Statistical --- Merging, Data (Statistics) --- Microsimulation modeling (Statistics) --- Modeling, Microsimulation (Statistics) --- Medicine. --- Health informatics. --- Database management. --- Data mining. --- Bioinformatics. --- Medicine & Public Health. --- Medicine/Public Health, general. --- Data Mining and Knowledge Discovery. --- Health Informatics. --- Database Management. --- Information Systems Applications (incl. Internet). --- Computational Biology/Bioinformatics. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Clinical informatics --- Health informatics --- Medical information science --- Medicine --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Data processing --- Sampling (Statistics) --- Database management --- Medical records --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Health Workforce --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software