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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.


Ontologies for Intelligent Vision Systems 
Instructor : Joanna Isabelle Olszewska

Making Enterprise Ontology a Potent Instrument 
Instructor : Jan Dietz and David Aveiro

Ontologies for Intelligent Vision Systems


Joanna Isabelle Olszewska
School of Computing and Engineering, University of the West of Scotland
United Kingdom
Brief Bio
Joanna Isabelle Olszewska is a British Computer Scientist. She is an Assistant Professor (Lecturer) with UWS, UK, and leads research in Algorithms and Softwares for Intelligent Vision Systems. She is a member of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. She is an ACM Distinguished Speaker and has given talks, e.g. at the University of Cambridge, at conferences such as ICRA, and at events such as EPSRC/BMVA Technical Days and DDD Scotland, ACM Future Worlds as well as interviews, e.g. for the BBC Lunch Time 'Women in Engineering' Program. She has been TPC member of over 70 international conferences such as IJCAI and chaired over 60 conference/workshop sessions, e.g. at IROS.

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.


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


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

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Making Enterprise Ontology a Potent Instrument


Jan Dietz
Computer Science, Delft University of Technology
Brief Bio
Jan Dietz is emeritus professor at Delft University of Technology, and visiting professor at the University of Lisbon and the Czech Technical University in Prague. He has always combined academic work with applying research outcomes in practice. He has supervised over 300 M.Sc.’s and 16 Ph.D.’s and he has published over 250 scientific and professional papers as well as several books. Jan Dietz is the spiritual father of DEMO (Design & Engineering Methodology for Organisations), founder of the Enterprise Engineering Institute (, and founder of the Ciao! Enterprise Engineering Network ( He is founding editor of The Enterprise Engineering Series, published by Springer. For more information, visit
David Aveiro
Exact Sciences and Engineering Centre, University of Madeira / Madeira-ITI
Brief Bio
David Aveiro is an Invited Assistant Professor at the Exact Sciences and Engineering Centre of the University of Madeira in Portugal. His research interests include organizational engineering and organizational change. His teaching interests include organizational engineering, database management systems and decision support systems. He holds a MSc and a PhD in Computer Science and Information Systems Engineering from Instituto Superior Técnico of the Technical University of Lisbon. His PhD theme was enterprise engineering and change and he applied the Design and Engineering Methodology (DEMO) to precisely specify the ontology of organizational change and control.

Enterprise Ontology (EO) is commonly understood as a rather logical and technical notion, dealing with the entities and events in an enterprise that are considered relevant for executing, managing and governing its operations. In the emerging discipline of Enterprise Engineering (EE)1, a richer and more effective notion is applied. EO is now considered as the understanding of the operational essence of an enterprise, based on the social interactions between employees through which they coordinate their work2. EE also provides the proper theoretical foundations to create such an understanding3. By a combination of several techniques for reducing complexity, it is feasible to build a comprehensive, coherent, consistent and yet concise model of this operational essence. EO thus becomes a key instrument to attain intellectual manageability, to offer professionals like business analysts and enterprise architects, as well as managers, the insight and overview they need to address the complexities they face. At the same time, such an essential model of the enterprise contains the core of what is needed to develop effective enterprise information systems, business process management systems, business intelligence systems etc.
In this tutorial, you will be exposed to a fundamentally new way of conceiving the notion of EO and of applying it as a potent instrument in analysing the operations of enterprises and in creating effective ideas for improving them through
redesign or re-engineering or re-implementation. First, you will be introduced to the EE theories that underly the notion of EO, and you will learn how to build ontological models, based on these theories. Then, we will demonstrate the practical value of this new way of building essential enterprise models on the basis of a recent large case study.


This is a 3 hour tutorial consisting of the next two parts:

• Presentation of the EE based notion of EO; building essential models of enterprises (90 minutes)
• The application of EO to two cases: a municipality and a logistics company (90 minutes)


1 Dietz, J.L.G., Hoogervorst, J.A.P. et. al: The Discipline of Enterprise Engineering. In: Int. J. Organisational Design and Engineering,
Vol. 3, No. 1, 2013, pp 86-114
2 Dietz, J.L.G.: Enterprise Ontology – Theory and Methodology. Springer, Heidelberg (2006)

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