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Artykuły w czasopismach na temat "Annotations de données"
Rizkallah, Élias. "L’analyse textuelle des discours assistée par ordinateur et les logiciels textométriques : réflexions critiques et prospectives à partir d’une modélisation des procédés analytiques fondamentaux". Cahiers de recherche sociologique, nr 54 (24.07.2014): 141–60. http://dx.doi.org/10.7202/1025996ar.
Pełny tekst źródłaDelafontaine, François, Biagio Ursi i Luisa Acosta. "Annotation des proéminences pour la segmentation de corpus oraux : l’expérience du projet SegCor". SHS Web of Conferences 46 (2018): 11001. http://dx.doi.org/10.1051/shsconf/20184611001.
Pełny tekst źródłaBrown, Piers. "“Hac ex consilio meo via progredieris”: Courtly Reading and Secretarial Mediation in Donne's The Courtier's Library*". Renaissance Quarterly 61, nr 3 (2008): 833–66. http://dx.doi.org/10.1353/ren.0.0178.
Pełny tekst źródłaGrisot, Cristina. "domaines linguistiques de la subjectivité du locuteur: étude empirique avec données de corpus". Travaux neuchâtelois de linguistique, nr 71 (1.01.2019): 19–43. http://dx.doi.org/10.26034/tranel.2019.2990.
Pełny tekst źródłaPajón Leyra, Irene, Arnaud Zucker i Catherine Faron-Zucker. "Thezoo : un thésaurus de zoologie ancienne et médiévale pour l’annotation de sources de données hétérogènes". Archivum Latinitatis Medii Aevi 73, nr 1 (2015): 321–42. http://dx.doi.org/10.3406/alma.2015.1180.
Pełny tekst źródłaBakhtouchi, Abdelghani. "Annotation des propriétés des ontologies. Une approche d’optimisation des requêtes sur un médiateur de sources de données à base ontologique". Techniques et sciences informatiques 33, nr 4 (luty 2014): 371–98. http://dx.doi.org/10.3166/tsi.33.371-398.
Pełny tekst źródłaFeltgen, Quentin, Georgeta Cislaru i Christophe Benzitoun. "Étude linguistique et statistique des unités de performance écrite : le cas de et". SHS Web of Conferences 138 (2022): 10001. http://dx.doi.org/10.1051/shsconf/202213810001.
Pełny tekst źródłaSinte, Aurélie. "Répéter, redire, reformuler : analyse plurisémiotique de conférences TEDx". SHS Web of Conferences 46 (2018): 01001. http://dx.doi.org/10.1051/shsconf/20184601001.
Pełny tekst źródłaDebrenne, Michèle. "« Fédéral → nous voilà » : de la nécessité d’annoter les dictionnaires d’associations évoquées par les mots". SHS Web of Conferences 138 (2022): 04014. http://dx.doi.org/10.1051/shsconf/202213804014.
Pełny tekst źródłaFeenstra, R. "De Nieuwe Nederlandse Vertaling Van Hugo De Groot's De Iure Belli Ac Pacis Door J.F. Lindemans". Tijdschrift voor Rechtsgeschiedenis / Revue d'Histoire du Droit / The Legal History Review 63, nr 1-2 (1995): 143–60. http://dx.doi.org/10.1163/157181995x00086.
Pełny tekst źródłaRozprawy doktorskie na temat "Annotations de données"
Alec, Céline. "Enrichissement et peuplement d’ontologie à partir de textes et de données du LOD : Application à l’annotation automatique de documents". Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS228/document.
Pełny tekst źródłaThis thesis deals with an approach, guided by an ontology, designed to annotate documents from a corpus where each document describes an entity of the same type. In our context, all documents have to be annotated with concepts that are usually too specific to be explicitly mentioned in the texts. In addition, the annotation concepts are represented initially only by their name, without any semantic information connected to them. Finally, the characteristics of the entities described in the documents are incomplete. To accomplish this particular process of annotation of documents, we propose an approach called SAUPODOC (Semantic Annotation of Population Using Ontology and Definitions of Concepts) which combines several tasks to (1) populate and (2) enrich a domain ontology. The population step (1) adds to the ontology information from the documents in the corpus but also from the Web of Data (Linked Open Data or LOD). The LOD represents today a promising source for many applications of the Semantic Web, provided that appropriate techniques of data acquisition are developed. In the settings of SAUPODOC, the ontology population has to take into account the diversity of the data in the LOD: multiple, equivalent, multi-valued or absent properties. The correspondences to be established, between the vocabulary of the ontology to be populated and that of the LOD, are complex, thus we propose a model to facilitate their specification. Then, we show how this model is used to automatically generate SPARQL queries and facilitate the interrogation of the LOD and the population of the ontology. The latter, once populated, is then enriched (2) with the annotation concepts and definitions that are learned through examples of annotated documents. Reasoning on these definitions finally provides the desired annotations. Experiments have been conducted in two areas of application, and the results, compared with the annotations obtained with classifiers, show the interest of the approach
Liu, Jixiong. "Semantic Annotations for Tabular Data Using Embeddings : Application to Datasets Indexing and Table Augmentation". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS529.
Pełny tekst źródłaWith the development of Open Data, a large number of data sources are made available to communities (including data scientists and data analysts). This data is the treasure of digital services as long as data is cleaned, unbiased, as well as combined with explicit and machine-processable semantics in order to foster exploitation. In particular, structured data sources (CSV, JSON, XML, etc.) are the raw material for many data science processes. However, this data derives from different domains for which consumers are not always familiar with (knowledge gap), which complicates their appropriation, while this is a critical step in creating machine learning models. Semantic models (in particular, ontologies) make it possible to explicitly represent the implicit meaning of data by specifying the concepts and relationships present in the data. The provision of semantic labels on datasets facilitates the understanding and reuse of data by providing documentation on the data that can be easily used by a non-expert. Moreover, semantic annotation opens the way to search modes that go beyond simple keywords and allow the use of queries of a high conceptual level on the content of the datasets but also their structure while overcoming the problems of syntactic heterogeneity encountered in tabular data. This thesis introduces a complete pipeline for the extraction, interpretation, and applications of tables in the wild with the help of knowledge graphs. We first refresh the exiting definition of tables from the perspective of table interpretation and develop systems for collecting and extracting tables on the Web and local files. Three table interpretation systems are further proposed based on either heuristic rules or graph representation models facing the challenges observed from the literature. Finally, we introduce and evaluate two table augmentation applications based on semantic annotations, namely data imputation and schema augmentation
Lutz, Quentin. "Graph-based contributions to machine-learning". Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT010.
Pełny tekst źródłaA graph is a mathematical object that makes it possible to represent relationships (called edges) between entities (called nodes). Graphs have long been a focal point in a number of problems ranging from work by Euler to PageRank and shortest-path problems. In more recent times, graphs have been used for machine learning.With the advent of social networks and the world-wide web, more and more datasets can be represented using graphs. Those graphs are ever bigger, sometimes with billions of edges and billions of nodes. Designing efficient algorithms for analyzing those datasets has thus proven necessary. This thesis reviews the state of the art and introduces new algorithms for the clustering and the embedding of the nodes of massive graphs. Furthermore, in order to facilitate the handling of large graphs and to apply the techniques under study, we introduce Scikit-network, a free and open-source Python library which was developed during the thesis. Many tasks, such as the classification or the ranking of the nodes using centrality measures, can be carried out thanks to Scikit-network.We also tackle the problem of labeling data. Supervised machine learning techniques require labeled data to be trained. The quality of this labeled data has a heavy influence on the quality of the predictions of those techniques once trained. However, building this data cannot be achieved through the sole use of machines and requires human intervention. We study the data labeling problem in a graph-based setting, and we aim at describing the solutions that require as little human intervention as possible. We characterize those solutions and illustrate how they can be applied in real use-cases
Savonnet, Marinette. "Systèmes d'Information Scientifique : des modèles conceptuels aux annotations sémantiques Application au domaine de l'archéologie et des sciences du vivant". Habilitation à diriger des recherches, Université de Bourgogne, 2013. http://tel.archives-ouvertes.fr/tel-00917782.
Pełny tekst źródłaMefteh, Wafa. "Approche ontologique pour la modélisation et le raisonnement sur les trajectoires : prise en compte des aspects thématiques, temporels et spatiaux". Thesis, La Rochelle, 2013. http://www.theses.fr/2013LAROS405/document.
Pełny tekst źródłaThe evolution of systems capture data on moving objects has given birth to new generations of applications in various fields. Captured data, commonly called ”trajectories”, are at the heart of applications that analyze and monitor road, maritime and air traffic or also those that optimize public transport. They are also used in the video game, movies, sports and field biology to study animal behavior, by motion capture systems. Today, the data produced by these sensors are raw spatio-temporal characters hiding semantically rich and meaningful informations to an expert data. So, the objective of this thesis is to automatically associate the spatio-temporal data descriptions or concepts related to the behavior of moving objects, interpreted by humans, but also by machines. Based on this observation, we propose a process based on the experience of real-world moving objects, including vessel and plane, to an ontological model for the generic path. We present some applications of interest to experts in the field and show the inability to use the paths in their raw state. Indeed, the analysis of these queries identified three types of semantic components : thematic, spatial and temporal. These components must be attached to data paths leading to enter an annotation that transforms raw semantic paths process trajectories. To exploit the semantic trajectories, we construct a high-level ontology for the domain of the path which models the raw data and their annotations. Given the need of complete reasoning with concepts and spatial and temporal operators, we propose the solution for reuse of ontologies time space. In this thesis, we also present our results from a collaboration with a research team that focuses on the analysis and understanding of the behavior of marine mammals in their natural environment. We describe the process used in the first two areas, which share raw data representing the movement of seals to ontological trajectory model seals. We pay particular attention to the contribution of the upper ontology defined in a contextual framework for ontology application. Finally, this thesis presents the difficulty of implementation on real data size (hundreds of thousands) when reasoning through inference mechanisms using business rules
Tran, Hoang Tung. "Automatic tag correction in videos : an approach based on frequent pattern mining". Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4028/document.
Pełny tekst źródłaThis thesis presents a new system for video auto tagging which aims at correcting the tags provided by users for videos uploaded on the Internet. Most existing auto-tagging systems rely mainly on the textual information and learn a great number of classifiers (on per possible tag) to tag new videos. However, the existing user-provided video annotations are often incorrect and incomplete. Indeed, users uploading videos might often want to rapidly increase their video’s number-of-view by tagging them with popular tags which are irrelevant to the video. They can also forget an obvious tag which might greatly help an indexing process. In this thesis, we limit the use this questionable textual information and do not build a supervised model to perform the tag propagation. We propose to compare directly the visual content of the videos described by different sets of features such as SIFT-based Bag-Of-visual-Words or frequent patterns built from them. We then propose an original tag correction strategy based on the frequency of the tags in the visual neighborhood of the videos. We have also introduced a number of strategies and datasets to evaluate our system. The experiments show that our method can effectively improve the existing tags and that frequent patterns build from Bag-Of-visual-Words are useful to construct accurate visual features
Kellou-Menouer, Kenza. "Découverte de schéma pour les données du Web sémantique". Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLV047/document.
Pełny tekst źródłaAn increasing number of linked data sources are published on the Web. However, their schema may be incomplete or missing. In addition, data do not necessarily follow their schema. This flexibility for describing the data eases their evolution, but makes their exploitation more complex. In our work, we have proposed an automatic and incremental approach enabling schema discovery from the implicit structure of the data. To complement the description of the types in a schema, we have also proposed an approach for finding the possible versions (patterns) for each of them. It proceeds online without having to download or browse the source. This can be expensive or even impossible because the sources may have some access limitations, either on the query execution time, or on the number of queries.We have also addressed the problem of annotating the types in a schema, which consists in finding a set of labels capturing their meaning. We have proposed annotation algorithms which provide meaningful labels using external knowledge bases. Our approach can be used to find meaningful type labels during schema discovery, and also to enrichthe description of existing types.Finally, we have proposed an approach to evaluate the gap between a data source and itsschema. To this end, we have proposed a setof quality factors and the associated metrics, aswell as a schema extension allowing to reflect the heterogeneity among instances of the sametype. Both factors and schema extension are used to analyze and improve the conformity between a schema and the instances it describes
Paganini, Julien. "L'analyse de données génomiques et l'annotation à l'heure des NGS : la bioinformatique 2.0". Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4105.
Pełny tekst źródłaRecent technological advances in terms of genomic sequencing data led to a strong growth of available data and the emergence of new needs. Initially limited to the analysis of simple sequence or limited amount of data, bioinformatics has to adapt to this new technological and scientific context to meet the new challenges offered. Through different projects in different genomic era, this thesis fits into this contexts change where bioinfomatics is no longer limited to the use of tool with unitary goal and human dependent steps. Focused on the development of complex analysis strategies for the development or the availability of fully automated tools and high-value data, this work introduce the important role of bioinformatics version 2.0. We will show how it is able to answer to precise biological question through specific strategy that integrate all the biological concepts, existing bioinformatics tools and human expertise related to the domain. To conclude, we discuss about the role and the impact of the bioinformatics 2.0 that requires a expert vision at biological and computers level adapted to NGS data
Reverdy, Clément. "Annotation et synthèse basée données des expressions faciales de la Langue des Signes Française". Thesis, Lorient, 2019. http://www.theses.fr/2019LORIS550.
Pełny tekst źródłaFrench Sign Language (LSF) represents part of the identity and culture of the deaf community in France. One way to promote this language is to generate signed content through virtual characters called signing avatars. The system we propose is part of a more general project of gestural synthesis of LSF by concatenation that allows to generate new sentences from a corpus of annotated motion data captured via a marker-based motion capture device (MoCap) by editing existing data. In LSF, facial expressivity is particularly important since it is the vector of numerous information (e.g., affective, clausal or adjectival). This thesis aims to integrate the facial aspect of LSF into the concatenative synthesis system described above. Thus, a processing pipeline is proposed, from data capture via a MoCap device to facial animation of the avatar from these data and to automatic annotation of the corpus thus constituted. The first contribution of this thesis concerns the employed methodology and the representation by blendshapes both for the synthesis of facial animations and for automatic annotation. It enables the analysis/synthesis scheme to be processed at an abstract level, with homogeneous and meaningful descriptors. The second contribution concerns the development of an automatic annotation method based on the recognition of expressive facial expressions using machine learning techniques. The last contribution lies in the synthesis method, which is expressed as a rather classic optimization problem but in which we have included
Casallas-Gutiérrez, Rubby. "Objets historiques et annotations pour les environnements logiciels". Université Joseph Fourier (Grenoble), 1996. http://tel.archives-ouvertes.fr/tel-00004982.
Pełny tekst źródłaKsiążki na temat "Annotations de données"
Code Pénal Belge Appliqué: Ou, l'interprétation Donnée À Ce Code Par la Jurisprudence des Cours et Tribunaux, Avec Renvois Aux Travaux Préparatoires, la Doctrine Belge et Française, et de Nombreuses Annotations. Creative Media Partners, LLC, 2022.
Znajdź pełny tekst źródłaCode Pénal Belge Appliqué: Ou, l'interprétation Donnée À Ce Code Par la Jurisprudence des Cours et Tribunaux, Avec Renvois Aux Travaux Préparatoires, la Doctrine Belge et Française, et de Nombreuses Annotations. Creative Media Partners, LLC, 2022.
Znajdź pełny tekst źródłaCourts, Belgium, i Belgium. Code Pénal Belge Appliqué: Ou, l'interprétation Donnée À Ce Code Par la Jurisprudence des Cours et Tribunaux, Avec Renvois Aux Travaux Préparatoires, la Doctrine Belge et Française, et de Nombreuses Annotations. Creative Media Partners, LLC, 2018.
Znajdź pełny tekst źródłaCzęści książek na temat "Annotations de données"
Van Dijk, Suzan. "Partager et faire connaître l’héritage littéraire féminin". W Le Crowdsourcing, 185–96. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.3918.
Pełny tekst źródłaAnglo, Sydney. "More Machiavellian than Machiavel: The Jesuits and the Context of Donne’s Conclave". W Machiavelli–The First Century, 374–414. Oxford University PressOxford, 2005. http://dx.doi.org/10.1093/oso/9780199267767.003.0012.
Pełny tekst źródłaGrailles, Bénédicte. "L’ethos participatif". W Le Crowdsourcing, 59–74. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.3912.
Pełny tekst źródłaBouyé, Edouard. "Le numérique participatif au service de la République des Lettres". W Le Crowdsourcing, 23–36. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.3909.
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