Frameworks, Implementation and Open Problems for the Collaborative Building of a Multilingual Lexical Database

International audienceMany NLP systems are based on lexical data. The development costs of such data are a major drawback in such NLP systems. In order to cut these costs, we adopt a strategy inspired from "open- source" projects to allow volunteers to collaborate in the creation of a multilingual lexical database. For this, we had to specify and develop tools to manage a lexical database containing information complete and detailed enough to be usable for a wide range of applications. This paper presents our project and details the tools, frameworks and structures used to manage such a database. We will also show some research problems still to be addressed in this context

ASPICO: Advanced Scientific Portal for International Cooperation on Digital Cultural Conten

* This research is partially supported by a grant (bourse Lavoisier) from the French Ministry of Foreign Affairs (Ministère des Affaires Etrangères).In this paper, we present the development of an advanced open source multi-lingual cooperative portal system (ASPICO) dedicated to semantic management, and to cooperative exchange for research and education purpose on digital cultural projects. Advantages of using ASPICO include greater flexibility for digital resource management, generic and systematic ontology-based metadata management, and better semantic access and delivery based on an innovative Information Modeling for Adaptive Management (IMAM)

History and Outcome of Febrile Neutropenia Outside the Oncology Setting: A Retrospective Study of 76 Cases Related to Non-Chemotherapy Drugs

International audienceBACKGROUND: Despite major advances in its prevention and treatment, febrile neutropenia remains a most concerning complication of cancer chemotherapy. Outside the oncology setting, however, only few data are currently available on febrile neutropenia related to non-chemotherapy drugs. We report here data on 76 patients with febrile neutropenia related to non-chemotherapy drugs, followed up in a referral center within a university hospital. PATIENTS AND METHODS: Data from 76 patients with idiosyncratic drug-induced febrile neutropenia were retrospectively reviewed. All cases were extracted from a cohort study on agranulocytosis conducted at the Strasbourg University Hospital (Strasbourg, France). RESULTS: Mean patient age was 52.2 years old (range: 18-93) and gender ratio (F/M) 1.6, with several comorbidities present in 86.8% of patients. The most common causative drugs were: antibiotics (37.4%), antithyroid drugs (17.2%), neuroleptic and anti-epileptic agents (13.1%), non-steroidal anti-inflammatory agents and analgesics (8%), and platelet aggregation inhibitors (8%). Main clinical presentations upon hospitalization included isolated fever (30%), sore throat, acute tonsillitis and sinusitis (18.4%), documented pneumonia (18.4%), septicemia (14.5%), and septic shock (6.6%). Mean neutrophil count at nadir was 0.13 × 10(9)/L (range: 0-0.48). While in hospital, 22 patients (28.9%) worsened clinically and required intensive care unit placement. All patients were promptly treated with broad-spectrum antibiotics, and 45 (59.2%) with hematopoietic growth factors. Mean duration of hematological recovery (neutrophil count ≥1.5 × 10(9)/L) was 7.5 days (range: 2-21), which was reduced to 0.7 days (range: 2-16) (p = 0.089) with hematopoietic growth factors. Outcome was favorable in 89.5% of patients, whereas eight died. CONCLUSIONS: Like in oncology and myelosuppressive chemotherapy settings, idiosyncratic febrile neutropenia is typically serious, about 40% of patients exhibiting severe pneumonia, septicemia, and septic shock, with a mortality rate of 10%. Like in febrile, chemotherapy-related neutropenia, modern and timely management (immediate broad spectrum antibiotherapy, hematopoietic growth factors) may reduce infection-related mortality. All practitioners should be aware of this potential side-effect that may even occur in the event of "daily medication" exposur

A Method to build a Geolocalized Food Price Time Series Knowledge Base analyzable by Everyone

International audienceTime-series analysis is a very challenging concept in Data Science for companies and industries. Harvesting prices of agricultural production (e.g. vegetable, fruit, milk...) as time series is key to operating reliable dish cost prediction at scale to ensure for example that the market price is valid. In this paper, we describe initial stakeholder needs, the service and engineering contexts in which the challenge of time-serie harvesting and management arose, and theoretical and architectural choices we made to implement a solution of historical food prices to demonstrate the feasibility. For this, we use scrappers through the TOR network. We also propose a knowledge map approach to make the data accessible to any type of users

Frameworks, implementation and open problems for the collaborative building of a multilingual lexical database

Many NLP systems are based on lexical data. The development costs of such data are a major drawback in such NLP systems. In order to cut these costs, we adopt a strategy inspired from "open-source " projects to allow volunteers to collaborate in the creation of a multilingual lexical database. For this, we had to specify and develop tools to manage a lexical database containing information complete and detailed enough to be usable for a wide range of applications. This paper presents our project and details the tools, frameworks and structures used to manage such a database. We will also show some research problems still to be addressed in this context. Résumé La connaissance linguistique reste une constituante importante de nombreux systèmes de traitement automatique des langues (TAL). Le coût de création d’un dictionnaire est l’un des freins majeurs dans le développement de ces systèmes. Afin de réduire les coûts de création de cette connaissance lexicale, nous adoptons une méthode inspirée des projets "open-source " afin de créer une base lexicale multilingue. Pour cela, nous avons spécifié et développé des outils de gestion d'une base lexicale contenant des informations suffisamment complètes et détaillées pour êtres utilisées dans de nombreuses applications différentes. Cet article présente notre projet et détaille les outils, les cadres et les structures utilisées pour la gestion de cette base. Nous montrons aussi certains problèmes de recherche ouverts qu'il nous faut aborder dans ce contexte

ON DIGITAL CULTURAL CONTENT

Abstract: In this paper, we present the development of an advanced open source multi-lingual cooperative portal system (ASPICO) dedicated to semantic management, and to cooperative exchange for research and education purpose on digital cultural projects. Advantages of using ASPICO include greater flexibility for digital resource management, generic and systematic ontology-based metadata management, and better semantic access and delivery based on an innovative Information Modeling for Adaptive Management (IMAM)

Cooking related Carbon Footprint Evaluationand Optimisation

International audienc

Bridging the Semantic Gap in Agriculture Early Warning

co-publication avec un laboratoire étrangerInternational audienc

Collective Intelligence-based Early Warning Management for Agriculture

International audienc