Proximité Conceptuelle et Distances de Graphes

National audienceDans cet article nous donnons un aperçu des applications et des travaux que nous menons autour de la notion de proximité ou distance sémantique

Annotations sémantiques pour le domaine Biopuces

Après avoir souligné l'intérêt du Web sémantique dans le domaine biomédical et de l'apport des annotations sémantiques dans la recherche d'information nous présentons une méthode pour la génération semi-automatique des annotations sémantiques décrivant des articles dans le domaine des biopuces et ce en se basant sur les techniques d'extraction d'information

Mining Biomedical Texts to Generate Semantic Annotations

This report focuses on text mining in the biomedical domain for the generation of semantic annotations based on a formal model which is ontology. We start by exposing the generic methodology for the generation of annotations from texts. Then, we present a state of the art on different knowledge extraction techniques used on biomedical texts. We propose our approach based on Semantic Web Technologies and Natural Language Processing (NLP): it relies on formal ontologies to generate semantic annotations on scientific articles and on other knowledge sources (databases, experiment sheets). This approach can be extended to other do-mains requiring experiments and massive data analyses. Finally, we conclude with a discussion about our work and we present some learnt lessons

Vers une personnalisation de la navigation par l'apprentissage de profils utilisateurs.

International audienceL'exploitation des interaction utilisateurs-sites Web peut jouer un rôle important pour l'amélioration de la navigation dans le futur Web. Dans une mesure plus particulière, dégager et reconnaître les profils des internautes à partir de ces données peut aider les navigateurs et les sites Web à personnaliser les sessions utilisateurs tout en recommandant des ressources spécifiques. Nous présentons à travers ce papier une solution de reconnaissance de profils basée sur les technologies du Web sémantique. Cette approche tire ses avantages de l'utilisation des ontologies, des annotations sémantiques sur les ressources Web et d'un moteur d'inférence et d'un moteur de recherche sémantique

Mining Biomedical Texts to Generate Semantic Annotations

This report focuses on text mining in the biomedical domain for the generation of semantic annotations based on a formal model which is ontology. We start by exposing the generic methodology for the generation of annotations from texts. Then, we present a state of the art on different knowledge extraction techniques used on biomedical texts. We propose our approach based on Semantic Web Technologies and Natural Language Processing (NLP): it relies on formal ontologies to generate semantic annotations on scientific articles and on other knowledge sources (databases, experiment sheets). This approach can be extended to other do-mains requiring experiments and massive data analyses. Finally, we conclude with a discussion about our work and we present some learnt lessons

Virtual Staff - Software Tool for Cooperative Work in a Health Care Network

In the context of knowledge management for a healthcare network, we have developed a software tool called Virtual Staff enabling a cooperative diagnosis by network actors, visualization of their collective reasoning and preparation of repository of patient records which will be reused for decision support for new patient cases. This virtual staff relies on a medical ontology and enables users to cooperative building of graphs based on the SOAP (Subjective, Objective, Assessment, Plan) model used in medical community and on the QOC (Questions, Option, Criteria) model used by CSCW community for support to design rationale and decision-making support

Querying the Semantic Web with Corese Search Engine

International audienceThis paper presents an ontology-based approach for web querying, using semantic metadata. We propose a query language based on ontologies and emphasize its ability to express approximate queries, useful for an efficient information retrieval on the web. We present the Corese search engine dedicated to RDF(S) metadata and illustrate it through several real-world applications