COCLICO This project ( convergence of the free community for opened collaborative infrastructures) aims at setting up a new dynamic to French software forge communities by giving a framework to this free ecosystem. The project has been labelled by the Minalogic and Systematic Competitiveness Clusters and has obtained subsidies. For more information contact Codendi , the collaborative development platform offered by Xerox.
FRAGRANCES XRCE coordinates this project that will develop an algorithmic for information access in the context of social networks. For more information contact the Document Structure or the Textual & Visual Pattern Analysis research area.
OMNIA The Omnia project aims at analyzing multimedia documents containing text and images, in a context of data profusion, as they are found on intranets and on Internet. The originality of the project is to work on 3 dimensions (image, text, emotion) and in a multilingual context. Images and texts give rise to 2 categorizations, relative to the informational aspects and to specific emotional aspects (coming directly from the images, or relative to their perception as expressed in the texts). These 2 types of content will be processed independently (annotation followed by indexation and categorization), with learning techniques, and will then be merged at the level of the filter and query tool. Their "primitives" will be linked to an interlingual representation of word senses based on English (UNL), that will open the way to multilingualism at the level of "publishing" the document categories, and of processing queries in natural languages equipped with UNL dictionaries. For more information contact the Textual & Visual Pattern Analysis research group .
TANGUY This project will develop a system to extract "micro-knowledge" from texts and stock it in a semantic network. For information on the TANGUY project contact the Parsing & Semantics research group .
French industrial project supported by the “Agence Nationale de la Recherche (ANR)”. It is a collaboration between the XRCE and INRIA, the French national institute for research in computer science and control. The objective is to design learning algorithms for tree transformations and their implementation for integration of document data (PDF, html, doc) in XML databases. For more information contact the Document Structure research group .
INFOMAGIC This project will allow the creation of robust, easy-to-use information extraction and new knowledge consolidation tools in order to increase analysis and collaborative work / decision-making capabilities, dedicated to teachers, competitive watchers, financial analysts, military personnel and researchers. For information on this project contact the Parsing & Semantics research group .