The Information - Intelligence - Interaction (I3) Journal was founded by members of the research group GDR I3, created by the CNRS in January 1998 (https://www.irit.fr/GDR-I3).
The journal serves as a forum favoring the dissemination of interdependent and interdisciplinary research involved
in information retrieval, database, human-machine communication and artificial intelligence. The recent developments
in these fields call for cross-discipline collaborations and perspectives. The I3 journal intends to promote
inter-disciplinarity working at the development of common terminology, concepts, typologies, methods and ontologies
and aiming at the identification of a unified perspective on research issues.
The journal is disseminated both as a traditional paper publication (published by Cépaduès http://www.cepadues.com/)
and as an electronic journal on the web (http://www.journal-i3.org/).
Scope
Topics of interests to the journal include but are not limited to the following list. The journal calls for papers actually covering and integrating several subfields in a clear effort supporting inter-disciplinarity.
- Information and content representation
- Information extraction, information indexing, identification of sources, content enrichment, content aggregation, annotation
- Metadata, semantic structures, ontologies, linguistics
- Models and languages (logical, graphical, qualitative, quantitative, ...)
- Document modelling, document design, document representation (multimedia, semi-structured, massive, ...)
- Formal models for data, knowledge and preferences
- Information and knowledge processing
- Information retrieval, Search engine, classification, navigation, collaborative search, personalized search, mobile search
- Databases and datawarehouses, data foraging, data mining, geographic information systems, web services
- (Spoken and written) natural language processing
- Reasoning and decision support processes
- Information fusion and dynamic change, dynamic systems supervision
- Learning and knowledge engineering, digital environment for human learning
- Collaborative and cooperative systems, multi-agent systems, pervasive computing
- Visualization of information and human-computer interaction
- Mobile interfaces, personalized, affective, immersive and collaborative environments, interactive services
- Dialog and interaction
- Cognitive design, ergonomics, systems evaluation
- Information visualization