The MRIM Team studies models and algorithms for efficient access to information contained in large, multimedia, multilingual and semi-structured data collections.
The team activities are organized on several main research topics:
- Modeling multimedia data in the context of Information Retrieval and Information Filtering;
- Managing textual data for multilingual documents using conceptual indexes;
- Design of personalized systems for information filtering;
- Machine learning models and methods for information access;
- Contextual mobile information access;
- System experimentation and evaluation.
Since September 2003, a new activity related to Interactions among Internet Applications has been launched.
With this setting the team MRIM aims at proposing models and high-level languages to effectively manage interactions between resources (applications and/or information) available on Internet (via Web services). More precisely, these models and languages will allow organisations to describe, locate and integrate existing services and to compose new ones.
Keywords:
- Data and Knowledge Processing at Large Scale
- Knowledge, Interaction
- Artificial Intelligence, Reasoning and inference, Knowledge, Human learning, Document analysis, Multilingualism Models
- Modèles
- Information management systems, Multimedia information management, Data querying, Information retrieval, Data mining , Very large data sets, WWW models and technologies, Ontologies
- Computer systems, Distributed systems, Middleware, Mobility
- Context: models and adaptation, Decision and action, Computer Graphics, Pattern Recognition, Signal, User representation
- Service coordination
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