Workshop @ ECAI 2016 — AI: Context – Multimodal Analytics – Internet of Things — August 30, 2016
The proceedings for this workshop can be downloaded from the ECAI 2016 website (PDF):
Artificial Intelligence (AI) plays an increasingly important role in modern IT applications. The Internet of Things (IoT) has to deal with a large variety of multimodal sensor data that needs to be represented in ways that facilitate reasoning techniques to search for and analyze the right data or services content taking also into account contextual information. This workshop looks at the upcoming challenges for AI from three different perspectives with a common theme. A special track "Artificial Intelligence and Internet of Things" aims at providing the ground for disseminating new and interesting ideas on how AI can make valuable contribution for solving problems that the Internet of Things ecosystem faces. The track "Modelling and Reasoning in Context" aims to bring together researchers and practitioners from different communities to study, understand, and explore modelling and reasoning issues and approaches for contextualised systems. Further on, the track "Multimodal Data Analytics" welcomes novel research works that deal with web content extraction, concept and event based indexing, semantic integration and retrieval, as well as multimodal fusion, content summarisation and visual analytics.
For more information on the different tracks, please see the following pages:
The technical program of the workshop includes:
For detailed schedules of the different sessions, please see the respective workshop pages linked in the programme overview.
AI-IoT Keynote Session
Dirk Helbing: Towards Smarter Societies
AI-IoT Paper Session
MRC Morning Session
MRC Afternoon Session
MMDA Keynote Session
Roeland Ordelman: Audiovisual Linking: Scenarios, Approaches and Evaluation
MMDA Paper Sessions
Last modified: Tuesday, 2017-01-10 18:18 UTC.