1,720,960 research outputs found
Analytique des données massives basée sur des ontologies : application à la plateforme de formation SIDES 3.0 en médecine
No full textOntology-based Data Access (OBDA) is a novel paradigm at the crossroad of Artificial Intelligence and Databases that has recently received an increasing interest because it enables end-users to ask their own (possibly complex) queries using a domain vocabulary they are familiar with. OBDA systems have a three-level architecture, constituted by an ontology, data sources, and mappings between the two. In the standard OBDA approach (called the virtual approach), the mappings are exploited to reformulate users queries into effective queries evaluated over the data sources. However, the state-of-the art rewriting approaches are unable to deal with complex aggregated and counting queries, which are yet at the core of data analytics. The goal of the PhD work is to design and implement an OBDA infrastructure to support the storage, semantic enrichment and on-demand analytics of large amounts of educational data produced by SIDES, the french national medical e-learning platform for academic ranking and training.À la croisée de l'intelligence artificielle et des bases de données, l'accès aux données ontologiques (OBDA) suscite un intérêt croissant car il permet aux utilisateurs finaux de poser leurs propres requêtes (éventuellement complexes) en utilisant un vocabulaire de domaine qu'ils connaissent bien. Les systèmes OBDA ont une architecture à trois niveaux, constituée d'une ontologie, de sources de données et de mappages entre les deux. Dans l'approche standard OBDA (appelée approche virtuelle), les mappages sont exploités pour reformuler les requêtes des utilisateurs en requêtes efficaces évaluées sur les sources de données. Cependant, les approches de réécriture à la pointe de la technologie ne permettent pas de traiter des requêtes complexes agrégées et de comptage, qui sont pourtant au cœur de l'analyse de données. L'objectif du travail de doctorat est de concevoir et de mettre en œuvre une infrastructure OBDA pour prendre en charge le stockage, l'enrichissement sémantique et l'analyse à la demande de grandes quantités de données éducatives produites par SIDES, la plate-forme de cyberapprentissage médical française pour le classement et la formation académiques
Analytique des données massives basée sur des ontologies : application à la plateforme de formation SIDES 3.0 en médecine
No full textOntology-based Data Access (OBDA) is a novel paradigm at the crossroad of Artificial Intelligence and Databases that has recently received an increasing interest because it enables end-users to ask their own (possibly complex) queries using a domain vocabulary they are familiar with. OBDA systems have a three-level architecture, constituted by an ontology, data sources, and mappings between the two. In the standard OBDA approach (called the virtual approach), the mappings are exploited to reformulate users queries into effective queries evaluated over the data sources. However, the state-of-the art rewriting approaches are unable to deal with complex aggregated and counting queries, which are yet at the core of data analytics. The goal of the PhD work is to design and implement an OBDA infrastructure to support the storage, semantic enrichment and on-demand analytics of large amounts of educational data produced by SIDES, the french national medical e-learning platform for academic ranking and training.À la croisée de l'intelligence artificielle et des bases de données, l'accès aux données ontologiques (OBDA) suscite un intérêt croissant car il permet aux utilisateurs finaux de poser leurs propres requêtes (éventuellement complexes) en utilisant un vocabulaire de domaine qu'ils connaissent bien. Les systèmes OBDA ont une architecture à trois niveaux, constituée d'une ontologie, de sources de données et de mappages entre les deux. Dans l'approche standard OBDA (appelée approche virtuelle), les mappages sont exploités pour reformuler les requêtes des utilisateurs en requêtes efficaces évaluées sur les sources de données. Cependant, les approches de réécriture à la pointe de la technologie ne permettent pas de traiter des requêtes complexes agrégées et de comptage, qui sont pourtant au cœur de l'analyse de données. L'objectif du travail de doctorat est de concevoir et de mettre en œuvre une infrastructure OBDA pour prendre en charge le stockage, l'enrichissement sémantique et l'analyse à la demande de grandes quantités de données éducatives produites par SIDES, la plate-forme de cyberapprentissage médical française pour le classement et la formation académiques
Large-scale ontology-based data analytics : application to the SIDES 3.0 training platform in Medicine
No full textÀ la croisée de l'intelligence artificielle et des bases de données, l'accès aux données ontologiques (OBDA) suscite un intérêt croissant car il permet aux utilisateurs finaux de poser leurs propres requêtes (éventuellement complexes) en utilisant un vocabulaire de domaine qu'ils connaissent bien. Les systèmes OBDA ont une architecture à trois niveaux, constituée d'une ontologie, de sources de données et de mappages entre les deux. Dans l'approche standard OBDA (appelée approche virtuelle), les mappages sont exploités pour reformuler les requêtes des utilisateurs en requêtes efficaces évaluées sur les sources de données. Cependant, les approches de réécriture à la pointe de la technologie ne permettent pas de traiter des requêtes complexes agrégées et de comptage, qui sont pourtant au cœur de l'analyse de données. L'objectif du travail de doctorat est de concevoir et de mettre en œuvre une infrastructure OBDA pour prendre en charge le stockage, l'enrichissement sémantique et l'analyse à la demande de grandes quantités de données éducatives produites par SIDES, la plate-forme de cyberapprentissage médical française pour le classement et la formation académiques.Ontology-based Data Access (OBDA) is a novel paradigm at the crossroad of Artificial Intelligence and Databases that has recently received an increasing interest because it enables end-users to ask their own (possibly complex) queries using a domain vocabulary they are familiar with. OBDA systems have a three-level architecture, constituted by an ontology, data sources, and mappings between the two. In the standard OBDA approach (called the virtual approach), the mappings are exploited to reformulate users queries into effective queries evaluated over the data sources. However, the state-of-the art rewriting approaches are unable to deal with complex aggregated and counting queries, which are yet at the core of data analytics. The goal of the PhD work is to design and implement an OBDA infrastructure to support the storage, semantic enrichment and on-demand analytics of large amounts of educational data produced by SIDES, the french national medical e-learning platform for academic ranking and training
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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