Tutorials
The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.
TUTORIALS LIST
Ontologies for Intelligent Vision Systems (KEOD)
Instructor : Joanna Isabelle Olszewska
Ontologies for Intelligent Vision Systems
Instructor
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Joanna Isabelle Olszewska
University of the West of Scotland
United Kingdom
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Brief Bio
Dr Joanna Olszewska BSc(Hons) MSc(EPFL) PhD(UCL) CEng CSci FBCS FHEA is a British Computer Scientist. She is an Asst. Professor with UWS, UK, and leads research in Algorithms and Softwares for Trustworthy Intelligent Vision Systems. Senior Member of IEEE, she stands on the IEEE AI Standard Committee and she is part of the IEEE Global Initiative for Ethical Considerations in AI and Autonomous Systems. She is Co-Chair of the IEEE RAS Technical Committee on the Verification of Autonomous Systems. ACM Distinguished Speaker, she has participated in panels about the Future of AI and standardization efforts in robotics and autonomous systems (e.g. at ICRA). She has delivered invited talks (e.g. at the Canadian Mathematical Society, ENS Paris, DDD Scotland Industry forum), keynote talks (e.g. at SBESC), tutorials at conferences (e.g. at ICAART), webinars (e.g. at IEEE) as well as podcasts (e.g. at BCS) and interviews (e.g. at BBC). She has been TPC member of over 100 international conferences (e.g. IJCAI) and has chaired over 70 webinars/seminars/workshops (e.g. IROS). She has served as Technical Program Chair of the IEEE International Conference on Engineering Reliable Autonomous Systems (ERAS). She has been appointed Guest Editor for the Knowledge Engineering Review Journal, Cambridge University Press, and Associate Editor for the Frontiers in Artificial Intelligence journal, the Engineering Applications of Artificial Intelligence journal, and the Machine Learning with Applications journal, Elsevier. Fellow of the British Computer Society, Chartered Engineer, Chartered Scientist, and Fellow of StandICT.eu, she has contributed to 20+ ISO/IEC/IEEE standards in various roles, e.g. Vice-Chair of ISO/IEC/IEEE 41062. She has published 150+ papers and one book – ‘Artificial Intelligence and Software Testing: Building systems you can trust’ – winner of the Independent Press Award.
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Abstract
Intelligent Vision Systems are increasingly present in our Society from street surveillance cameras to indoor sport training set-ups, from drones to companion robots. To ensure an efficient communication between these systems and operating agents, ontologies provide an effective and interoperable solution well suited for real-world interactions. Thus, this tutorial introduces the topic of ontologies for intelligent vision systems in light of the main challenges in that research field and the developed solutions and standards based on computer vision and artificial intelligence methods.
Keywords
Domain Ontologies, Domain Analysis and Modeling, Knowledge Representation, Knowledge Engineering¸ Spatio-Temporal Visual Ontology, Integration and Interoperability, Human-Machine Cooperation, Decision Support Systems, Intelligent Vision Systems
Aims and Learning Objectives
This tutorial aims to present the ‘why’ and ‘how’ of the ontologies for intelligent vision systems deployed in constrained and unconstrained environments.
Participants are expected to acquire new perspectives about intelligent vision systems’ challenges and their related ontological solutions. In more detail, the objectives of this tutorial are:
I) To appreciate intelligent vision systems’ challenges;
II) To understand the corresponding ontological solutions for the intelligent vision systems;
III) To get new trends and future directions of the Ontologies for Intelligent Vision Systems research and standards.
Target Audience
This tutorial is intended for a broad spectrum of participants both from academia and industry.
Prerequisite Knowledge of Audience
None
Detailed Outline
The tentative list of the topics covered by this tutorial is:
a) Ontology Domain: Intelligent Vision Systems
b) Knowledge Representation of Intelligent Vision Systems
c) Spatio-Temporal Visual Ontology (STVO)
d) Integration, Interoperability & Related Ontological Standards