Wimmics: web-instrumented man-machine interactions, communities and semantics
Wimmics stands for Web-Instrumented Man-Machine Interactions, Communities, and Semantics.
Our challenge is to bridge formal semantics and social semantics on the web. We are a joint research team between INRIA Sophia Antipolis - Méditerranée and I3S (CNRS and Université Côte d'Azur). Our research areas are graph-oriented knowledge representation, reasoning and operationalization to model and support actors, actions and interactions in web-based epistemic communities. The application of our research is supporting and fostering interactions in online communities and management of their resources. Wimmics is a follow-up of the teams Acacia, Edelweiss and Kewi.
Inria field: Perception, Cognition, Interaction
Inria theme: Knowledge and Data Representation and Management
I3S division: SPARKS: Scalable and Pervasive softwARe and Knowledge Systems
CNRS institute: INS2I
Our challenge is to bridge formal semantics and social semantics on the web. We are a joint research team between INRIA Sophia Antipolis - Méditerranée and I3S (CNRS and Université Côte d'Azur). Our research areas are graph-oriented knowledge representation, reasoning and operationalization to model and support actors, actions and interactions in web-based epistemic communities. The application of our research is supporting and fostering interactions in online communities and management of their resources. Wimmics is a follow-up of the teams Acacia, Edelweiss and Kewi.
Inria field: Perception, Cognition, Interaction
Inria theme: Knowledge and Data Representation and Management
I3S division: SPARKS: Scalable and Pervasive softwARe and Knowledge Systems
CNRS institute: INS2I
Bridging social semantics and formal semantics on the web
Everything you always wanted to know about RDF literals by Pierre-Antoine Champin
Pierre-Antoine Champin at Wimmics Seminar Recorded Video Slides: https://notes.inria.fr/p/UNHx2tqTx#/ Abstract: Literals are an important but often overlooked part of the RDF data model. After two decades of working with RDF, I still once in a while discover features of RDF literals which I didn’t know of, or whose consequences I…
Human-centric Natural Language Processing for Social Good and Responsible Computing
A Wimmics & Forum Numerica seminar by Smaranda MURESAN Columbia University, USA Abstract: Large language models (LLMs) constitute a paradigm shift in Natural Language Processing and its applications across all domains. To move towards human-centric NLP designed for social good and responsible computing, I argue we need knowledge-aware NLP systems…
