TEMIS is willing to provide leading-edge technologies and know-how to its customers. The company sustains its R&D activities in order to create new competitive advantages. TEMIS is involved in the latest text analysis research through collaboration with renowned research laboratories and industry partners in the context of R&D projects funded by the French and EU governments.
Development of innovative digital kitchen, NosRecettes 3.0
Open Food System is a research project that aims to develop an ecosystem standard for daily meal preparation that provides access to content, innovative appliances and services. This project brings together 25 public and private partners along with Groupe SEB.
PME : BearsTech, Mondeca, TEMIS,...
Industries : Seb, Institut Paul Bocuse, Bioparhom,...
Académiques : Lim&Bio, LIRIS, L2TI, LUTIN, UREN,...
Expected ROI: The provision of public digital solutions dedicated to cooking and eating on a daily basis around digital recipes enriched to ensure to the greatest number healthier eating, tasting, affordable and friendly, adapted to the tastes and constraints of each.
The development of an ecosystem of content providers and digital services around a French and international community of food lovers and a shared recipes database.
Expand the capabilities of the Smart Content Factory (ITM, CA Manager, ITM Rules) and make them more robust to strong requirements requested by the platform NosRecettes 3.0.
Risk and Opportunity management of huge-scale BUSiness communiTy cooperation
Online communities generate major economic value and form pivotal parts of corporate expertise management, marketing, product support, CRM, product innovation and advertising. Communities can exceed millions of users and infrastructures must support hundreds of millions discussion threads that link together billions of posts.
ROBUST is targeted at developing methods to understand and manage the business, social and economic objectives of the users, providers and hosts and to meet the challenges of scale and growth in large communities. Hence, the objectives of ROBUST are to find solutions for community risk management, large scale data management, models of community polity and politics, community simulation and community data analysis.
TEMIS is part of a new EU Flagship* project called Flagship-RCS (Regulatory Compliance Support) described as "the first intelligent regulatory search and automated form filling system".
At the core of Flagship-RCS is an electronic regulations database, supported by a regulations search system, regulation suggestion, automated compliance checking, form filling notification and assistance, and a lexicon of maritime terms.
Flagship-RCS will identify and flag imminent changes in regulations as a vessel approaches and enters waters under different jurisdiction (speed limit, bilge tanks cleaning limitations, …).
*FLAGSHIP is a 53 month, part EU-funded project, focusing on improvement of safety, environmental friendliness and competitiveness of European maritime transport. The project will contribute to a further increase in the capacity and reliability of freight and passenger services and to a reduction of negative impact from accidents and emissions.
The emphasis of the project is on on-board systems and procedures, ship management systems on shore, impact of new technology on present ship-, owner- and operator organisations, effective and efficient communication interfaces and impact of standards and regulations.
La norme locale tout simplement partagée (Local decisions easily shared)
The Légilocal project aims at simplifying citizen access to local administrative, legal and public data by proposing to the local authorities a network of services based on semantic web technologies that is easy to integrate in their website and a social network relying on expertise databases dedicated to the local authorities.
support the local authorities in their local decisions by placing them in the relevant (National and European) legal, economic, politic and collaborative context.
simplify citizen access to local administrative, legal and public data by proposing to the local authorities a network of services based on semantic web technologies that is easy to integrate in their website.
Légilocal is a government funded multimedia content enrichment initiative of Cap Digital, the French consortium for digital content research and development as well as OSEO, the Mairie de Paris, the Ile de France and the 93 General councils.
SME : TEMIS, Jamespot, Mondeca, ViaSema, VICTOIRES EDITIONS
Universities: CERSA (University Panthéon-Assas Paris 2), LIPN (University Paris Nord)
The SAMAR (Multimedia Analysis Station for Arabic langage) project aims at developing an Arabic-based multimedia processing platform and to validate it by analysing, annotating, translating all the Arabic news produced by the AFP (Agence France Presse - French Media Agency) as well as available Arabic radio and television contents.
help to reach Arabic market by developing interfaces and services in Arabic language
pursuing TEMIS and its partners tools integration to go further beyond state-of-the-art in semantic-oriented solutions (annotations, categorization, speech transcription, …)
maintaining and developing close collaboration with AFP initiating new fruitful collaborations, especially in the CMS and multimedia domain
this platform could ultimately be used by virtually Arabic media for organizing and enriching their information production. The platform also represents a unique source of strategic information for companies expanding their business operations into the Middle East and North Africa promising markets.
Demonstration of the SAMAR Project outcome (Arabic Multimedia Analysis Platform).
SAMAR is a government funded multimedia content enrichment initiative of Cap Digital, the French consortium for digital content research and development as well as the DGCIS, the Mairie de Paris and the 94 General councils.
Major: French Press Agency (AFP)
SME: TEMIS, Antidot, Mondeca, Nuxeo, Vecsys, Vocapia
Universities: Inalco, Université de Caen- Greyc, Llacan (CNRS), CNRS-LIMSI