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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  (KEOD)
Lecturer(s): Joanna Olszewska

Making Enterprise Ontology a Potent Instrument  (KEOD)
Lecturer(s): Jan Dietz and David Aveiro

Ontologies for Intelligent Vision Systems


Joanna Olszewska
University of West Scotland
United Kingdom
Brief Bio
Joanna Isabelle Olszewska is a Senior Lecturer in United Kingdom. She obtained BEng, MSc degrees in Electrical Engineering and DEA and PhD degrees in Computer Science from the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland and the University of Louvain (UCL), Belgium, respectively. Her research interests include algorithms, signal and image processing, computer vision, pattern recognition, and artificial intelligence. She has been a Program Committee Member of many technical conferences such as IJCAI, and she has chaired more than fifty research seminar presentations and international conference sessions.

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

Target Audience

This tutorial is intended for a broad spectrum of participants both from academia and industry.

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

Secretariat Contacts
e-mail: ic3k.secretariat@insticc.org

Making Enterprise Ontology a Potent Instrument


Jan Dietz
Delft University of Technology
Brief Bio
Jan L.G. Dietz is emeritus full professor in Information Systems Design at Delft University of Technology, full professor in Enterprise Engineering at Delft University of Technology, and director of Sapio (www.sapio.nl). He holds a Master degree in Electrical Engineering and a Doctoral degree in Computer Science. He has published over 200 scientific and professional articles and books. His current research interests are in the emerging discipline of Enterprise Engineering, of which Enterprise Architecture, Enterprise Ontology, and Enterprise Governance are the major pillars. Before his academic career, he has practiced application software engineering for ten years in industry. Jan Dietz is the spiritual father of DEMO (Design & Engineering Methodology for Organizations), and honorary chairman of the Enterprise Engineering Institute (www.ee-institute.com). For the development of Enterprise Engineering, he chairs the international research network CIAO! (www.ciaonetwork.org). He also acts as editor-in-chief of a book series on Enterprise Engineering, published by Springer. For more information, visit http://en.wikipedia.org/wiki/Jan_Dietz
David Aveiro
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)
3 https://www.researchgate.net/project/Enterprise-Engineering-Theories

Secretariat Contacts
e-mail: ic3k.secretariat@insticc.org