Multimedia content, ranging from text, images, videos, to audio, obtained from users and physical devices, paves the way for a novel research avenue centered on the analysis and interpretation of multi-modal information. This research is giving place to Social Intelligent Environments as the result of a combination of IEs and online social networks (OSN) as the primary source of multimedia content. This workshop seeks mechanisms adept at extracting, fusing and analysing data from multiple sources based on Artificial Intelligence techniques, emphasizing the inherent data heterogeneity characteristic of OSN integrated as part of any Intelligent Environment.

This workshop focuses on intelligent solutions for social-media processing that considers such an inherent heterogeneity. This way, mechanisms able to extract knowledge from multimedia data posted by users in online social media platforms or the fusion of different types of data coming from these feeds would be of special interest.

This workshop will be held as a co-located event in the 20th International Conference on Intelligent Environments (IE'24) https://ie2024.ijs.si/


Areas of interest include, but are not limited to, the following:

Microtexts analysis
Techniques for image analysis
Techniques for audio analysis
Social-media crowdsensing
Intelligent forecasting applications
Knowledge-based method
Sentiment analysis
Environmental problems for Intelligent Environments
Sentiment analysis
AI for Environmental problems
Information Fusion strategies
Smart mobility
Soft Data Fusion in Smart Systems
Fusion techniques for user-generated data
Multisensor data-fusion techniques