BOBASHEVA , Anna

The MonaLIA 1.0 project is a preliminary study on the coupling of learning methods (Deep Neural Networks) and knowledge-based methods (Semantic Web) for image recognition and the enhancement of descriptive documentary records. The approach is applied and evaluated on the collection and data in the Joconde database in order to identify the...

This work combines semantic reasoning and machine learning to create tools that allow curators of the visual art collections to identify and correct the annotations of the artwork as well as to improve the relevance of the content-based search results in these collections. The research is based on the Joconde database maintained by French...

In the last decade Knowledge Graphs have undergone an impressive expansion, mainly due to their extensive use in AI-related applications, such as query answering or recommender systems. This growth has been powered by the expanding landscape of Graph Embedding techniques, which facilitate the manipulation of the vast and sparse information...

In recent years, the growing application of Knowledge Graphs to new and diverse domains has created the need to make these resources accessible and understandable by users with increasingly diverse backgrounds. Visualization techniques have been widely employed as means to facilitate the exploration and comprehension of such data sources....

Ces dernières années, l'utilisation croissante des graphes de connaissances dans des domaines nouveaux et variés nécessite de rendre ces ressources accessibles et compréhensibles par des utilisateurs aux profils de plus en plus divers. De plus, l'application de méthodes d'apprentissage automatique sur des plongements de graphes de connaissances...

Ces dernières années, l'utilisation croissante des graphes de connaissances dans des domaines nouveaux et variés nécessite de rendre ces ressources accessibles et compréhensibles par des utilisateurs aux profils de plus en plus divers. De plus, l'application de méthodes d'apprentissage automatique sur des plongements de graphes de connaissances...

The ISSA pipeline was developed by the ISSA project (https://issa.cirad.fr/) . It orchestrates the automatic indexing of a scientific archive by extracting from the articles full-text thematic descriptors and named entities, and linking them with terminological resources in the Semantic Web format.The repository consists of various tools,...

Face à la multiplication des publications scientifiques, les archives scientifiques ouvertes jouent un rôle central pour aider les utilisateurs à effectuer des recherches bibliographiques. Cependant, les services de recherche classiques basés sur des mots-clés ne parviennent pas toujours à apporter des réponses satisfaisantes à certaines...

Faced with the ever-increasing number of scientific publications, researchers struggle to keep up, find and make sense of articles relevant to their own research. Scientific open archives play a central role in helping deal with this deluge, yet keyword-based search services often fail to grasp the richness of the semantic associations between...

In recent years, several evolutions have drastically transformed the way researchers as well as scientific and technical information (STI) services interact with scientific literature. The amount and pace of publications are skyrocketing, whether in journals and conferences or through pre-publication repositories (e.g., arxiv.org), such that it...

Le projet Covid-on-the-Web permet aux chercheurs d'accéder à la littérature relative à la famille des coronavirus, de l'interroger et d'en extraire des connaissances. Il s'aligne sur des besoins concrets formulés par des instituts de santé et de recherche. Ainsi, il adapte, combine et étend des outils destinés à traiter, analyser et enrichir le...

The Covid-on-the-Web project allows scientists to access, query and extract knowledge from the literature on the coronavirus family. It is aligned with concrete needs formulated by health and research institutes. Thus, it adapts, combines and extends tools designed to process, analyze and enrich the CORD-19 corpus, that gathers 100,000+...

Scientists are harnessing their multidisciplinary expertise and resources to fight the COVID-19 pandemic. Aligned with this mind-set, the Covid-on-the-Web project aims to allow biomedical researchers to access, query and make sense of COVID-19 related literature. To do so, it adapts, combines and extends tools to process, analyze and enrich the...