Literatura científica selecionada sobre o tema "Navigation sémantique"
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Artigos de revistas sobre o assunto "Navigation sémantique"
Laddada, Wissame, e Eric Saux. "Analyse des empreintes guidée par un modèle de connaissances pour la compréhension des dynamiques de navigation maritime côtière". Revue Internationale de Géomatique 31, n.º 1-2 (janeiro de 2022): 111–33. http://dx.doi.org/10.3166/rig31.111-133.
Texto completo da fonteMoreau, Clément, Thomas Devogele e Laurent Etienne. "Calcul de similarité sémantique entre trajectoires". Revue Internationale de Géomatique 29, n.º 1 (janeiro de 2019): 107–27. http://dx.doi.org/10.3166/rig.2019.00077.
Texto completo da fonteKergosien, Eric, Marie-Noelle Bessagnet e Mauro Gaio. "Exploitation d’une cartographie sémantique à des fins de validation : application à l’indexation experte de corpus documentaires". Documentation et bibliothèques 57, n.º 1 (25 de fevereiro de 2015): 19–28. http://dx.doi.org/10.7202/1028961ar.
Texto completo da fonteJulien, Charles-Antoine, Catherine Guastavino, France Bouthillier e John E. Leide. "Subject Explorer 3D: A Virtual Reality Collection Browsing and Searching Tool". Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI, 21 de outubro de 2013. http://dx.doi.org/10.29173/cais373.
Texto completo da fonteBaptista, Ana Alice. "Searching and Browsing Using RDF-Encoded Metadata: The Case of Omnipaper". Canadian Journal of Communication 29, n.º 3 (3 de novembro de 2004). http://dx.doi.org/10.22230/cjc.2004v29n3a1449.
Texto completo da fonteTeses / dissertações sobre o assunto "Navigation sémantique"
Drouilly, Romain. "Cartographie hybride métrique topologique et sémantique pour la navigation dans de grands environnements". Thesis, Nice, 2015. http://www.theses.fr/2015NICE4037/document.
Texto completo da fonteUtonomous navigation is one of the most challenging tasks for mobile robots. It requires the ability to localize itself or a target and to find the best path linking both positions avoiding obstacles. Towards this goal, robots build a map of the environment that models its geometry or topology. However building such a map in large scale environments is challenging due to the large amount of data to manage and localization could become intractable. Additionally, an ever changing environment leads to fast obsolescence of the map that becomes useless. As shown in this thesis, introducing semantics in those maps dramatically improves navigation performances of robots in realistic environments. Scene parsing allows to build extremely compact semantic models of the scene that are used for fast relocalization using a graph-matching approach. They are powerful tools to understand scene and they are used to extend the map beyond perceptual limits of the robot through reasoning. Statistical analysis of those models is used to build an embryo of common sens which allows to detect labeling errors and to update the map using algorithms designed to maintain a stable model of the world despite occlusions due to dynamic objects. Finally semantics is used to select the best route to a target position according to high level criteria instead of metrical constraints, allowing intelligent navigation
Trellet, Mikael. "Exploration et analyse immersives de données moléculaires guidées par la tâche et la modélisation sémantique des contenus". Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS262/document.
Texto completo da fonteIn structural biology, the theoretical study of molecular structures has four main activities organized in the following scenario: collection of experimental and theoretical data, visualization of 3D structures, molecular simulation, analysis and interpretation of results. This pipeline allows the expert to develop new hypotheses, to verify them experimentally and to produce new data as a starting point for a new scenario.The explosion in the amount of data to handle in this loop has two problems. Firstly, the resources and time dedicated to the tasks of transfer and conversion of data between each of these four activities increases significantly. Secondly, the complexity of molecular data generated by new experimental methodologies greatly increases the difficulty to properly collect, visualize and analyze the data.Immersive environments are often proposed to address the quantity and the increasing complexity of the modeled phenomena, especially during the viewing activity. Indeed, virtual reality offers a high quality stereoscopic perception, useful for a better understanding of inherently three-dimensional molecular data. It also displays a large amount of information thanks to the large display surfaces, but also to complete the immersive feeling with other sensorimotor channels (3D audio, haptic feedbacks,...).However, two major factors hindering the use of virtual reality in the field of structural biology. On one hand, although there are literature on navigation and environmental realistic virtual scenes, navigating abstract science is still very little studied. The understanding of complex 3D phenomena is however particularly conditioned by the subject’s ability to identify themselves in a complex 3D phenomenon. The first objective of this thesis work is then to propose 3D navigation paradigms adapted to the molecular structures of increasing complexity. On the other hand, the interactive context of immersive environments encourages direct interaction with the objects of interest. But the activities of: results collection, simulation and analysis, assume a working environment based on command-line inputs or through specific scripts associated to the tools. Usually, the use of virtual reality is therefore restricted to molecular structures exploration and visualization. The second thesis objective is then to bring all these activities, previously carried out in independent and interactive application contexts, within a homogeneous and unique interactive context. In addition to minimizing the time spent in data management between different work contexts, the aim is also to present, in a joint and simultaneous way, molecular structures and analyses, and allow their manipulation through direct interaction.Our contribution meets these objectives by building on an approach guided by both the content and the task. More precisely, navigation paradigms have been designed taking into account the molecular content, especially geometric properties, and tasks of the expert, to facilitate spatial referencing in molecular complexes and make the exploration of these structures more efficient. In addition, formalizing the nature of molecular data, their analysis and their visual representations, allows to interactively propose analyzes adapted to the nature of the data and create links between the molecular components and associated analyzes. These features go through the construction of a unified and powerful semantic representation making possible the integration of these activities in a unique interactive context
Sy, Mohameth François. "Utilisation d'ontologies comme support à la recherche et à la navigation dans une collection de documents". Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20211/document.
Texto completo da fonteDomain ontologies provide a knowledge model where the main concepts of a domain are organized through hierarchical relationships. In conceptual Information Retrieval Systems (IRS), where they are used to index documents as well as to formulate a query, their use allows to overcome some ambiguities of classical IRSs based on natural language processes.One of the contributions of this study consists in the use of ontologies within IRSs, in particular to assess the relevance of documents with respect to a given query. For this matching process, a simple and intuitive aggregation approach is proposed, that incorporates user dependent preferences model on one hand, and semantic similarity measures attached to a domain ontology on the other hand. This matching strategy allows justifying the relevance of the results to the user. To complete this explanation, semantic maps are built, to help the user to grasp the results at a glance. Documents are displayed as icons that detail their elementary scores. They are organized so that their graphical distance on the map reflects their relevance to a query represented as a probe. As Information Retrieval is an iterative process, it is necessary to involve the users in the control loop of the results relevancy in order to better specify their information needs. Inspired by experienced strategies in vector models, we propose, in the context of conceptual IRS, to formalize ontology based relevance feedback. This strategy consists in searching a conceptual query that optimizes a tradeoff between relevant documents closeness and irrelevant documents remoteness, modeled through an objective function. From a set of concepts of interest, a heuristic is proposed that efficiently builds a near optimal query. This heuristic relies on two simple properties of semantic similarities that are proved to ensure semantic neighborhood connectivity. Hence, only an excerpt of the ontology dag structure is explored during query reformulation.These approaches have been implemented in OBIRS, our ontological based IRS and validated in two ways: automatic assessment based on standard collections of tests, and case studies involving experts from biomedical domain
Yiakoumettis, Christos. "Semantic navigation of large scale geo-referenced 3D scenes and virtual worlds". Limoges, 2012. https://aurore.unilim.fr/theses/nxfile/default/389358e4-be58-45f6-8896-1e8dc57d1b24/blobholder:0/2012LIMO4049.pdf.
Texto completo da fonteLes évolutions technologiques actuelles font entrer la géo-informatique 3D à son âge numérique, permettant de nouvelles applications potentielles dans le domaine du tourisme virtuel, du loisir, du divertissement et du patrimoine culturel. Des mondes virtuels 3D et des scènes géo-référencées sont utilisés encore plus dans les simulations de catastrophes physiques et de plan d'évacuation ou de scénarios militaires. Il est prouvé que les informations 3D offrent un moyen naturel de navigation. Cependant la personnalisation est un aspect essentiel dans un système de navigation. En dehors des optimisations de distance et du temps l'intégration des préférences des utilisateurs est finalement le point les important d'une navigation. Une architecture efficace de planification d'itinéraire personnalisée est basée tant sur des critères géométriques que sur les préférences de l'utilisateur. Dans ce travail, un cadre multi-couche intégrée est introduit, pour soutenir une navigation efficace centrée sur l'utilisateur, dans des mondes 3D. Habituellement, les préférences de l'utilisateur sont exprimées sous forme d‟un ensemble de poids qui représente le degré d'importance du contenu des métadonnées sémantiques de la scène sur le processus de sélection du tracé. Ces poids, cependant, sont définis par les utilisateurs, en mettant la complexité du côté de l'utilisateur, ce qui rend la personnalisation une tâche ardue. Dans ce travail, une approche alternative est proposée dans laquelle les poids du contenu des métadonnées sont estimés implicitement et de façon transparente pour les utilisateurs, en déplaçant la complexité du côté du système. Ce résultat est obtenu par l'introduction d'une stratégie d'apprentissage en ligne par retour d'expérience qui ajuste automatiquement les poids de variables des métadonnées par exploitation de l'information renvoyée vers le système sur la pertinence des jugements de préférences utilisateur présentés sous une forme de comparaisons par paires. Dans la pratique la mise en oeuvre d'un algorithme de retour d'expérience présente la limitation que plusieurs comparaisons par paires (échantillons) sont nécessaires pour converger vers un ensemble de poids de variables des métadonnées fiables. Pour cette raison, dans ce travail une stratégie de rectification de poids est proposée qui permet d'estimer le poids en exploitant les interrelations de variables de métadonnées définies par une ontologie. Dans la suite, un algorithme d'optimisation génétique est proposé pour sélectionner les itinéraires les plus préférés de l'utilisateur basé sur une approche d'optimisation multi-critères. Pour améliorer le degré de personnalisation en navigation 3D, un algorithme efficace est également mis en place pour estimer les trajectoires 3D autour des objets choisis par la fusion de meilleurs vues projetées en 2D qui contiennent des faces qui ont la plus grande préférence des utilisateurs. Des simulations et des comparaisons ont été effectuées avec d'autres approches, soit dans le domaine de l'apprentissage en ligne ou du choix du tracé en utilisant des mesures objectives en termes de précision et de rappel des valeurs
Atanassova, Iana. "Exploitation informatique des annotations sémantiques automatiques d'Excom pour la recherche d'informations et la navigation". Thesis, Paris 4, 2012. http://www.theses.fr/2012PA040252.
Texto completo da fonteUsing the Excom engine for semantic annotation, we have constructed an InformationRetrieval System based on semantic categories from automatic language analyses in order topropose a new approach to text search. e annotations are obtained by the Contextual Explorationmethod which is a knowledge based linguistic approach using markers and disambiguationrules. e queries are formulated according to search viewpoints which are at the heart of theInformation Retrieval strategy. Our approach uses the annotation categories which are organisedin linguistic ontologies structured as graphs. In order to provide relevant results to the user,we have designed algorithms for ranking and paraphrase identification. ese algorithms exploitprincipally the structure of the linguistic ontologies for the annotation. We have carriedout an evaluation of the relevance of the system results taking into account the specificity ofour approach. We have developed user interfaces allowing the construction of new informationproducts such as structured text syntheses using information extraction according to semanticcriteria. is approach also aims to offer tools in the field of economic intelligence
Gauvin, Karine. "L'ÉLARGISSEMENT SÉMANTIQUE DES MOTS ISSUS DU VOCABULAIRE MARITIME DANS LES FRANÇAIS ACADIEN ET QUÉBÉCOIS". Thesis, Université Laval, 2011. http://www.theses.ulaval.ca/2011/27734/27734.pdf.
Texto completo da fonteSerdel, Quentin. "Semantic-assisted Autonomous Ground Robot Navigation in Unstructured Environments". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST139.
Texto completo da fonteThe content of this PhD thesis deals with the autonomous navigation of ground robots in telecommunication-denied unstructured environments. In order to employ mobile robots to perform complex tasks such as planetary exploration or search-and-rescue operations, they must be trusted with complete autonomy, notably for their map-less navigation. Thanks to recent advances in the domain of deep-learning, the efficient extraction of semantic information from a robot sensor data is now possible. The exploitation of this information, relating to the nature of the robot surroundings elements, is a promising lead toward the improvement of the safety and autonomy of navigation systems. The integration of semantic labelling into an online mapping process and the exploitation of the resulting environment representation for informative path planning are tackled via the notion of terrain traversability. Computational complexity and robustness to noisy inputs are crucial aspects to be considered. New methods are therefore proposed for the online construction of such representations and their exploitation for path planning. They have been integrated in a complete robot navigation system and successfully employed in a real-world scenario
Idrissi, Najlae. "La navigation dans les bases d'images : prise en compte des attributs de texture". Phd thesis, Nantes, 2008. https://archive.bu.univ-nantes.fr/pollux/show/show?id=84546d6f-7efd-4662-ba95-e74b15907689.
Texto completo da fonteThis work contributes to the field of Content-based Image Retrieval (CBIR) particularly texture-based retrieval. The main goal of this work is to enable the user to navigate through a large image database without making any query in specific language. To achieve this goal, we divided the work into two main parts. The first part involves the extraction of a texture model made of relevant attributes. We proposed to study two models of texture: the co-occurrence matrices and Tamura’s attributes. The selection and validation of the model features are based on several applications that we have proposed in this thesis after reducing the dimension of the representation’s space. Then, navigation is achieved using Galois’ lattices with a simple HTML interface while passing through a phase of interpretation of numerical model texture into a semantic model. The problem of the transcription from the numerical values to the semantics is regarded as a problem of discretisation of continuous attributes. Another problem occurs when the size of the database of images increases: the performance of the navigation system are deteriorating. To overcome this problem, we propose to use techniques of summarisation to create summaries that help users to navigate through target collections instead of the whole database
Idrissi, Najlae. "La navigation dans les bases d'images : prise en compte des attributs de texture". Phd thesis, Université de Nantes, 2008. http://tel.archives-ouvertes.fr/tel-00465960.
Texto completo da fonteCrépel, Maxime. "Tagging et folksonomies : pragmatique de l'orientation sur le Web". Thesis, Rennes 2, 2011. http://www.theses.fr/2011REN20038/document.
Texto completo da fonteThis research proposes an anlysis of tagging systems uses on the Web. Tagging is not a simple personnal tool of web ressources categorization but classifications emerging from free tags indexation, named folksonomies, allow Internet users to create physical and interpretative supports which produce new forms of social navigation. Those tagging networks give the opportunity to Internet users to navigate and to act in the complex and abundant Web universe, but they are also coordination supports with other Internet users. Tags appear as conventionnal supports which allow coordination of actions in variable-geometry collectives. In those more or less identified and large collectives, members share common vocabulary and interests. Based on a socio-technical approach, we study coupling between conception and uses of tagging systems. We explain that tagging proposes an under construction and alternative way to architecture and accessibility politics of the Web ressources