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 CEA-LIST |
CEA is a French government-funded technological research organisation. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future. The CEA is active in three main fields: Energy, information and health technologies, and defence and national security.
The CEA LIST, which is based near Paris (Saclay and Fontenay-aux-Roses), is a key software systems and technology research centre working in three areas with vital societal and economic implications : embedded systems (architecture and design of systems, methods and facilities for software and system dependability, and intelligent vision systems), interactive systems (knowledge engineering, robotics, virtual reality and sensorial interfaces) and signal detection and processing (ionizing radiation metrology and instrumentation, optical fiber sensors and non-destructive testing).
With the strong project-centred culture of its 450 researchers, engineers and technicians, the LIST is able to perform research work in partnership with the major industrial players in the nuclear, automotive, aeronautical, defence and medical fields and thus investigate and develop innovative solutions corresponding to their requirements. The LIST, which is actively engaged in research work extending from conceptual design of systems to pre-industrial prototypes, contributes to the transfer of technology and encourages innovation, particularly by assisting the emergence of new businesses. In WebContent, the LIC2M, a CEA-LIST laboratory, provides components and tools for documents analysis with the goal of extracting the semantic entities with their relations. This extraction is the core of the automatic documents annotation and of the indexation of those entities. Furthermore, the LIC2M develops corpus analysis tools for terminology and ontology enrichment.
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| EADS DS - SDRT/IPCC Team |
Part of the System Design Centre (SDC) of EADS Defense and Security (EADS DS), the Competence Center in Information Processing (IPCC) is a department of Reseach and Technology (R&T) grouping together research engineers and PhD students specialised in information processing. IPCC groups together competencies dedicated to information processing techniques: - text mining and knowledge management (WebLab platform) - data fusion (data fusion services) - security and web technologies. |
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| ADRIA |
ADRIA Developpement involved in the improvement of food quality and safety in strong collaboration with industrials. Based on a strong and innovating R&D, ADRIA contributes to the development and application of new tools to control microbial ecosystems during food processing as well as in the final product.
ADRIA Developpement runs intensive research and development programmes based on specialist know-how on formulation, nutrition, process and food microbiology. ADRIA centralises the SYM’PREVIUS, predictive microbiology database and is the leader in MATEASy (Molecular Analysis Tools for Easy and Simple identification) database elaboration. |
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| Exalead |
Founded in 2000 by search-engine pioneers, Exalead is a global provider of search software for business and the Web. Based on the first and only unified search technology platform for desktop, intranet or Web search, Exalead's products provide users with a single access point to information, regardless of format or location. Its patented Search by Serendipity® navigation system adapts to user habits for a less frustrating and uniquely satisfying search experience.
The exalead one:search™ line of software products - designed for desktop, workgroup, enterprise, datacenter and Web environments - are in use by leading banking and financial services, media, consumer packaged goods, research, retailing and telecommunications companies around the world. Exalead is an operating unit of Qualis, an international holding company, with offices in Paris, New York, Boston, San Francisco, Milan and Munich.
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| PriSM |
The Database group of the PRiSM (Parallel computing, Networks, Systems and Modelling) laboratory (CNRS-UMR-8144 University of Versailles) is composed of two different axis, the IFDOCS (Integration and mining of complex data) and the MSDI (Mobility, security and Information Availability) teams.
In particular, IFDOCS' research is centered on mediation of heterogeneous data sources using XQuery, representation and integration of incomplete information, indexing of semi-structured data, and spatio-temporal informaiton systems. |
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| INRIA-Mostrare |
Modeling Tree Structures, Machine Learning, and Information Extraction (project-team)
Joint project-team with LIFL (CNRS and Lille University - USTL) and Grappa (EA 3588, Lille 3 University) located in Lille
The main objective of the present project is to develop automatic information extraction systems for semistructured data that make use of the underlying tree structure. In the future, we might also have to incorporate semantic information. The goals are the following:
Tree structures for information extraction: the definition of adequate models and the design of efficient algorithms for tree structures in the field of information extraction. An example is the definition of tree wrappers.
Tree structures in machine learning: the development of machine learning algorithms for induction of tree wrappers. Their applications in information retrieval and text classification. The combination of learning algorithms to define wrappers over diverse data sources and over heterogenous data. |
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| LIG (Ex LSR Laboratoire Logiciels Systèmes Réseaux) |
HADAS is a team of the LIG(ex LSR) laboratory. It has contributed to the database field and has been involved in several academic or industrial projects related to database infrastructures and services.
The research currently done in HADAS concerns the construction of software infrastructures for data and services sharing for different distributed architectures, such as computer and data grids, peer-to-peer systems or sensor networks. Such infrastructures contain necessary functions to manage and exploit these architectures, as well as functions that are traditionally associated to operating system,
- System aspects for data management
- Adaptive querying and optimization
- Service discovery and composition
- Semantic distributed integration
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| GRIMM |
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| PSY.CO |
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| INRIA-GEMO |
Gemo is a joint research team of INRIA Futurs and the LRI. It groups world-class competencies in databases and artificial intelligence. It works on information processing in all its forms (data, services, XML documents). Gemo's research axes are mediators and data warehouses for the semantic integration of heterogeneous data, data mining in XML documents, Web services and the Semantic Web.
In WebContent, Gemo will apply and experiment with their most recent tools to help build a Semantic Web in which content interoperability (data or services) is governed by semantic marking with the help of ontologies. |
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| Thales Research & Technology |
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| Soredab |
SOREDAB SAS is the research center of Groupe SOPARIND BONGRAIN, a multinational manufacturer of food products.
One of our objectives is to elaborate and to validate strategies to prevent and mitigate the microbial and chemical risks that could be associated to food products.
As a partner of the french research programme Sym’previus, with INRA Met@risk and ADRIA Quimper, SOREDAB SAS has been involved in the evaluation of the AQWEB software, developed in the E.dot project (RNTL). |
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| New Phenix |
NewPhenix is a software editor created in 2004 that draws on multimedia and multilingual information processing technologies that are devlopped by CEA LIST. NewPhenix is involved in tasks related to ontology creation and crosslingual search. |
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| INRA |
Our research team is working at the intersection of Artificial Intelligence and Databases. We are more precisely interested in heterogeneous and imprecise knowledge management, knowledge validation and knowledge extended querying using fuzzy set theory.
We are also studying semi-automatic completion of knowledge bases using information extracted from the Web.
Our main application domain concerns chemical and microbial risk in food. In this framework, our team is working on the realization of a data warehouse including data from heterogeneous sources: scientific literature, data from industrial partners, ... |
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| LIP6 |
Two LIP6's teams will be mobilized on the WebContent project:
* The Databases team of the "Laboratoire d'Informatique de Paris 6" (Paris 6 university computer science laboratory) has long experience in distributed data management and it has been interested for several years to the scaling problems in open and distributed environments like data clusters, the Web and P2P networks. Its has activities in axes: (1) the semantic sharing of information resources distributed to a broad scale (Web, P2P networks; ACI Grid Padoue and ACI MD SemWeb) and (2) the routing of requests in a cluster of distributed data integraing constraints of freshness on the questioned data (RNTL LegaNet).
* The Machine Learning team is specialised in statistical machine learning methods and in text mining with an emphasis on semi-structured data handling. It was one of the first in France to work on XML content search engines by participating in INEX competitions (INitiative for the Evaluation of XML Retrieval - European challenge). Its research orientations in the field also relate to the extraction of information (participation in 2 challenges in 2004), the classification of semi-structured data, the treatment of heterogeneity in the semi-structured data with the study of the correspondences between formats of documents coming from different sources. |
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| INRIA-InSitu |
IN-SITU : Situated interaction - IN-SITU is an interdisciplinary team located at the Laboratory for computer science (Laboratoire de Recherche en Informatique, LRI) on the Orsay campus of Université Paris-Sud.-
New interaction paradigms - IN-SITU explores novel interaction techniques, including multi-scale (or zoomable) interfaces, interactive information visualization, bimanual interaction, video and non-speech audio, and the integration of physical and on-line information (augmented or mixed reality). The project-team seeks to integrate these techniques and to enable groups of users to work collaboratively in a coherent, easy-to-use environment.
Participatory design - Participatory design involves users throughout the design process. Users contribute both as experts in the use of technology in context and as innovators with ideas that help lead to new designs. IN-SITU develops new participatory design methods and seeks new ways to make the role of context explicit in the design process.
Engineering of interactive systems - New tools are required to faciliate the development, integration and adoption of new interaction paradigms. IN-SITU explores component-based architectures that permit interaction techniques to be dynamically added, removed or substituted to meet the user's needs. |
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| LIMSI-CNRS AMI Group |
Visualization and Interaction
Data presentation
Data presentation consists in transforming preprocessed data into geometric structures possibly enhanced with behavior and computation capabilities. Such databases are then fed into a visualization system, and used for interactive navigation and data filtering (see next point).
Ongoing research:
* spatial layout of non disjoint hierarchical classes,
* large spreadsheets,
* presentation of search engine outputs.
Navigation and interactive data exploration
Human interaction with large and structured data sets for data mining or information access purposes requires interfaces and browsers that relies on the geometrical data structure.
Ongoing research:
* interactive data mining and visual analytics,
* distortion techniques for large spreadsheets. |
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| INRIA-EXMO Project EXMO (Computer mediated exchange of structured knowledge) |
Exmo is a research team studying the communication of formalised knowledge mediated by computers. In the communication between people, a computer can add value to its medium and memory functions by performing advanced operations such as formatting, filtering, categorising, consistency checking, or generalising. Ensuring the suitability and intelligibility of knowledge for the users requires to develop an abstract understanding of representations and the transformations applied to them.
The goal of Exmo is the development of theoretical and software tools for facilitating interoperability in formalised knowledge exchange. We use knowledge representation techniques in order to find, to express, to caracterise and finally to use the relations between multiple representations (alignments). Our focus is on improving the communication capabilities of the computer. For that purpose we consider the transformations that can be applied to knowledge and the properties of these transformations.
We are studying structural, semantic and semiotic properties of transformations (like order or consequence preservation). Our emphasis is currently on three topics: semantic properties in knowledge representation language translation, semantic adaptation of multimedia documents and ontology matching for interoperability.
Our work is naturally applied in the context of semantic web infrastructure (when one needs to import pieces of knowledge from other contexts: languages, ontologies) and transformation system engineering (when one wants to establish properties of a complex transformation flow). |
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