Personal tools
Laboratoire d'InfoRmatique en Image et Systèmes d'information

Skip to content. | Skip to navigation

Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
You are here: Home > axes

Department  : Data, Knowledge, Services (DCS)

Coordinator Mohand-Said Hacid
Beginning date Jul 01, 2008 - Ending date Dec 04, 2013
Presentation News

The DCS department has been created in 2008 and is organized around seven research groups involving 75 faculty members (21 professors, 52 associate professors, 2 researchers). The research activities of the department cover a wide variety of theories, methods, and applications of information technology to the management of data, knowledge and services. It covers the following areas:

  • Knowledge discovery (data mining, complex systems modeling, knowledge engineering)
  • Data and services engineering (security and confidentiality, modeling, integration and querying, service composition)

The DCS department incorporates the following research groups:

Databases (DB): the DB research group involves 15 faculty members (3 professors and 12 associate professors). The group investigates data management techniques for advanced applications such as software services, data streams and dynamic environments. Nowadays, data provenance could be of various sources (sensors, services) and made available on various storage supports. The group builds on (by revising or extending) established techniques from databases, logic and constraints domains. Two lines of research are pursued with direct bearing on the issues of data and services management. In one of them, the focus is on data/services storage and underlying declarative access languages for new applications. In the other line of research, the emphasis is on security and confidentiality in databases and software services.

Multimedia Information retrieval and Distribution (DRIM): the DRIM research group involves 10 faculty members (3 professors, 6 associate professors, 1 researcher). Its main research directions fall into the following areas: (i) semantic indexing of multimedia data and documents; (ii) context modeling; and, (iii) design and development of protocols and tools for service discovery, access, data exchange, security and privacy. The contributions in those areas rest on three main ideas: the proposed approaches are decentralized and self-organized; they are user-centered, user-profile and context aware adaptable; they take into account the typology and the usage semantics of the handled information. Applications targeted include information retrieval systems, mobile systems, data grids, pervasive systems and social networks.

Supporting Interaction and Learning by Experience (SILEX): the SILEX research group involves 15 faculty members (4 professors and 11 associate professors). The research activity of SILEX targets three interdependent fields, namely Knowledge dynamics, Co-design of situated Technology Enhanced Learning Systems, and Adaptive Interactive Systems. Featured by its interdisciplinarity, the group established external collaborations in the areas of psychology, linguistics, semiotics, education sciences, and ergonomy. This multidisciplinarity is structured by identifying theoretical and applied issues within cross projects to study the human-machine system considered as “trainee system”

Service-Oriented Computing (SOC): the SOC research group involves 10 faculty members (4 professors and 6 associate professors). The group pursues two research objectives: (1) provide models and techniques regarding foundations of Web services in order to make easy their discovery and composition within transactional and/or non-transactional environments, and (2) design and develop service-oriented architectures in various applications areas such as medical, collaborative systems, resource sharing and e-governments.

Data Mining and Machine Learning (DM2L): the DM2L research group involves 11 faculty members (3 professors and 8 associate professors).

Artificial Evolution and Computational Biology (BEAGLE) : the BEAGLE research group involves 4 faculty members (1 professor, 1 researcher and 2 associate professors). The expanded name for the Beagle research group is "Artificial Evolution and Computational Biology". Our aim is to position our research at the interface between biology and computer science and to contribute new results in biology by modeling biological systems. In other words we are making artifacts - from the Latin artis factum (an entity made by human art rather than by Nature) - and we explore them in order to understand Nature. Our research is based on an interdisciplinary scientic strategy: We are developing computer science formalisms and software for complex system modeling in synergy with multidisciplinary cooperations in the area of living sciences. Thanks to computational approaches we study abstractions of biological systems and processes in order to unravel the organizational principles of cellular systems.

Graphes, Algorithmes et Multi-Agents (GRAMA) : the GRAMA research group involves 11 faculty members (3 professors and 8 associate professors). Research activities in GrAMA are related to both areas of Graphs and Multi-agent systems. In addition to leading research in these two areas, the team focuses also on issues related to the combination of these two models to deal with scalability of models and algorithms in the context of huge amount of data, the development of self-* properties, the distributed reasoning and the emergence of structures and behaviours and their efficient use in the proposed models. We apply our models in different fields: models for the future Web, models for large data systems and models for large scale distributed systems with self-* properties.

The complementarity of scientific competencies on current topics and emergent topics are featured by:

  • Modeling tools for data, knowledge and services management.
  • Types of performed processing.
  • Targeted applications by each research group.

The specificity of research within the DCS department lies in the combination of both theoretical investigations and effective implementation around competencies centers shared by the seven research groups.

  • Knowledge discovery (data mining, complex systems modeling, knowledge engineering).
  • Data and services engineering (security and confidentiality, modeling, integration and querying, service composition).

Last update : 2014-01-10 08:57:20