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Keynote Lectures

IC3K is a joint conference composed of three concurrent conferences: KDIR, KEOD and KMIS. These three conferences are always co-located and held in parallel. Keynote lectures are plenary sessions and can be attended by all IC3K participants.

The AI System DLV: Ontologies, Reasoning, and More
Nicola Leone, University of Calabria, Italy

Knowledge Graph for Public Safety: Construction, Reasoning and Case Studies
Xindong Wu, Mininglamp Software Systems, China and University of Louisiana at Lafayette, United States

Building a Self-service IoT Analytics Toolbox: Basics, Models and Lessons Learned
Rudi Studer, Karlsruhe Institute of Technology, Germany

From Image Understanding to Text Description and Return - Deep Learning Paradigms for Annotation and Retrieval
Rita Cucchiara, University of Modena and Reggio Emilia, Italy (* Cancelled due to unforeseen unavailability of the speaker)

Conceptual Modelling and Web Applications: How to Make it a Right Partnership?
Oscar Pastor, Universidad Politécnica de Valencia, Spain


Negotiated Work-based Learning and Organisational Learning – The Relationship between Individual and Organisational Knowledge Management

Alan Eardley
Staffordshire University
United Kingdom

Brief Bio

Dr. Alan Eardley is Reader in Knowledge Informatics and Associate Head of Postgraduate Research Studies in the Faculty of Computing, Engineering and Science at Staffordshire University in the UK, where he teaches Knowledge Management and Research Methods to postgraduate students and supervises research students.  Alan is also a Member of the University Academy of Teaching Excellence Fellows, a Member of the BCS and a Chartered IT Professional, has co-authored five text books on Information Management (all of which have were adopted as texts by professional bodies) and has contributed to recent books on Knowledge Management.  Alan has also co-authored a number of research articles in leading international journals, with the application of Knowledge Management in an organisational context with Healthcare as a specialty.  He has recently collaborated on an action research project to introduce Knowledge Management to a major UK company and leads the collaborative research team on a major EU project that examined the relationship between universities, businesses and learners in enabling work-based learning for promoting organisational improvement. Alan recently co-edited a text book on innovative uses of Knowledge Management for Organizational Creativity and Collaborative Design.

The talk will address the issue of the contribution of programmes of individual negotiated learning in the workplace to strategies for work-force development and organisational learning.  The results of ten years of experience of action research leading to negotiated work-based learning in a variety of industry sectors in the UK are described and the results of a major European research project into work-based learning are discussed.  The intention of the paper is to explain the individual and organisational issues behind negotiated learning and to promote discussion of the topic.



Enterprise Ontology and DEMO – Benefits, Core Concepts and a Case-study

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.

The entering into and complying with commitments is the operational principle for each and every organization – be they private enterprises or public institutions. These commitments are established in the communication between social individuals – i.e. human beings – aiming for the production of material or immaterial services provided by the organization they belong to. In this talk we will explore these and other core concepts from the Ψ-theory and the Design and Engineering Methodology for Organizations (DEMO). They allow us to arrive at complete, concise, coherent consistent and essential ontological models of organizations which are a very valuable asset for all kinds of organizational analysis, diagnosis and change, accompanied or not by software projects. In the end of the talk we will see enterprise ontology and DEMO in action in a practical e-government project that constitutes a quite interesting case-study clearly validating some of the above mentioned qualities.



Information Fusion - An Appealing Avenue for Robust Knowledge Discovery in Multi-Source Environments

Belur Dasarathy
Information Fusion
United States

Brief Bio
Dr. Belur V. Dasarathy, an IEEE Fellow, is an independent consultant offering services to commercial and government clients in the design and development of automated intelligent decision systems arising in a variety of applications. His expertise includes guidance, teaching, research and development (R&D) and R&D management in the areas of intelligent decision systems, learning systems, multi-sensor multi-source information fusion, knowledge discovery through pattern recognition and data mining, image analysis and other related topics. His prior professional full-time affiliations have included Dynetics, Inc., Intergraph Corp., Computer Sciences Corp., Indian Institute of Science, Southern Methodist University, as well as adjunct positions at University of Alabama in Huntsville.
He is the founding Editor-in-chief of the International Journal on Information Fusion published by Elsevier Science, the very first journal dedicated to this evolving field. He has offered short courses in the information fusion arena under SPIE and other conference sponsorships as well as under individual company/ University/ Organization sponsored on-site programs.
Dr. Dasarathy has over 180 open literature publications with him as primary author in majority of these publications. He is the author of three IEEE Computer Society Press books: Decision Fusion, Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques, and Image Data Compression: Block Truncation Coding. He has also contributed chapters/sections to other books, including one in the handbook on Data Mining and Knowledge Discovery (Oxford University Press, 2002). His publications have been cited in the literature in over 400 studies.
He has been an invited speaker at many national and international conferences over the past decade such as 2nd Intl Conference on Sensor Networks (SENSORNETS 2013), Spain;3rd International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2013), Spain; 6th International Symposium on Intelligent Distributed Computing 2012, Italy; 16th Annual KES Conference, 2012 Spain; IDGA 9th Annual Image Fusion Summit, 2010, USA; 2008 International Conference on Aerospace Science and Technology, India; 2008 Indo-US Workshop on Regional Air Transportation, India; 2nd International Conference on Information  Security and  Assurance, 2008, Korea; Future Generation Communication and Networking, 2007 Korea; 2006 IDGA Conference on Night Vision Systems, Washington, DC; 2006 IEEE Intl Conf on Multisensor Fusion and Integration for Intelligent Systems, Germany; 2006 Biologically Inspired Information Fusion, UK; ISSNIP ’04 Australia; International Conference on Human-Machine Interface 2004, India; IEEE International Conference on Computational Cybernetics ICCC’04 Austria; The 11th International Conference on Advanced Robotics, ICAR Portugal; International Workshop on Information Fusion 2002, China; IX Spanish Symposium on Pattern Recognition and Image Processing 2001, Spain; IEEE International Conference on Industrial Technology, ICIT 2000, India; International Conference on Applications of Pattern Recognition 1998, England.
Dr. Dasarathy was honored as the IEEE Huntsville Section Outstanding Engineer 1996, IEEE Region 3 Outstanding Engineer for 1997 and a recipient of the IEEE Third Millennium Medal. He was one of the founding members of the board of directors of the International Society on Information Fusion (ISIF) and served on it for three years. He was the guest editor of Optical Engineering for three special sections on Sensor Fusion. From 1997 to 2009, he has been the organizer & chairman of two annual SPIE Conferences on multi-sensor, multi-source information fusion and data mining, intrusion detection & network security. He was the publicity chair for the International conferences on Information Fusion - Fusion 1998, Fusion 1999, Fusion 2001, a member of the executive committee of Fusion 2000, and is a member of the International Program committee for Fusion 2003. He has organized and chaired special sessions on Information Fusion and Data Mining at other conferences including IEEE Decision and Control 1998, International Joint Conference on Neural Networks 1999, IGARSS 2000, IECON-2000. He has been a member of the Scientific Committee for the annual workshop on Multiple Classifier Systems since 2000 including the one to be held in 2003. He was also the technical vice-chair for Autotestcon 2002.
His biographical citations include: International Who's Who in Information Technology, 1999; "The Official Registry of the Who' Who of American Business Leaders," 1991; ; "Who's Who in the South and Southwest," 22nd Edition, 1991; Who's Who in Technology Today," Dick Publishing 5th Edition, "Personalities of the South," American Biographical Institute, 1986; "WHO' WHO" in Computer Graphics," Marquis, 1984, etc.

Knowledge discovery process, in order to serve its purposes, should both be reliable and robust in dynamic multi-source environments that now define the global information network infrastructure. The ever expanding ability to collect data has resulted in a highly diverse (in terms of contents, spatial, spectral, temporal, qualitative and quantitative aspects) set of data sources. At times the data from such diverse sources may at least on the surface seem to be supportive, while at other times, may indeed conflict with one another or at best uncorrelated. Information fusion represents the ensemble of concepts, tools and techniques that can be exploited to extract/discover knowledge underlying these diverse data sources, properly weighting the potential of both supportive as well as conflicting evidence. The geographical and temporal diversity has to be addressed by properly distributed processing. This is especially true of “Big Data” the latest buzz word in the domain of knowledge discovery as related to issues of security vs. privacy.  This key note address intends to provoke audience thinking on the role information fusion can and should play in this domain by giving a brief introduction to the concepts and techniques in the field of Information fusion and discuss the various issues that deserve attention in their application to the problem of reliable and robust knowledge discovery cutting across wide ranging domains of application.



Mastering Data-Intensive Collaboration and Decision Making

Nikos Karacapilidis
University of Patras & CTI

Brief Bio
Nikos Karacapilidis is Professor of Management Information Systems at University of Patras, Greece, and Senior Researcher at Computer Technology Institute & Press “Diophantus” (CTI), Greece. His research interests lie in the areas of Intelligent Web-Based Information Systems, e-Collaboration, Knowledge Management Systems, Group Decision Support Systems, Computer-Supported Argumentation, Enterprise Information Systems, and Semantic Web. He has been involved for about 20 years in the development of ICT solutions through European and national R&D projects. He has a strong publication record (more than 150 research papers) in various international journals and conference proceedings. He is currently the Coordinator of the Dicode FP7-ICT project. He was the principle investigator on behalf of CTI in the Palette FP6-IST IP project. He was the System Demonstrations Chair at ECAI’08 and ECTEL’09 Conferences. He was the chair/co-chair of many international scientific workshops, among them dicoSyn’12, held in the context of CSCW’12. For many years, he was the Editor-In-Chief of the Advances in Web-Based Learning (AWBL) Book Series, and Co-Editor-In-Chief of the International Journal of Web-Based Learning and Teaching Technologies.

Collaboration and decision making settings are often associated with huge, ever-increasing amounts of multiple types of data, obtained from diverse and distributed sources. In many cases, the raw information is so overwhelming that stakeholders are often at a loss to know even where to begin to make sense of it. In addition, these data may vary in terms of subjectivity and importance, ranging from individual opinions and estimations to broadly accepted practices and indisputable measurements and scientific results. Their types can be of diverse level as far as human understanding and machine interpretation are concerned. At the same time, big volumes of data can be effortlessly added to a database; the problems start when we want to consider and exploit the accumulated data, and meaningfully analyze them towards making a decision. Admittedly, when things get complex, we need to identify, understand and exploit data patterns; we need to aggregate big volumes of data from multiple sources, and then mine it for insights that would never emerge from manual inspection or analysis of any single data source. In other words, the pathologies of big data are primarily those of analysis.
The above call for investments in innovative software that reduces or eliminates time wasted, reduces management overheads, streamlines collaborative processes, and automates the overall workflow. Return on such investments can be both tangible (e.g. time or money saved) and intangible (e.g. more valuable information, easier extraction of hidden information, increase of information workers’ satisfaction and creativity, improved collaboration). Overall, such innovative solutions have to face two major imperatives: (i) they need to exploit the information growth by ensuring a flexible, adaptable and scalable information and computation infrastructure; (ii) they need to exploit the competences of all stakeholders and information workers to meaningfully confront various information management issues - in other words, dealing with data-intensive and cognitively complex settings is not a technical problem alone.
Elaborating the above issues, this keynote aims to provide insights about the development of innovative solutions towards the facilitation and enhancement of collaboration and decision making in data-intensive and cognitively-complex settings. Particular emphasis is given to the exploitation of the synergy between human and machine reasoning. Results and lessons learned from a related, recently completed EU FP7 project (namely, Dicode - http://dicode-project.eu), are also discussed.



The Working Brain - Windows to the Outside World

Alexandre Castro-Caldas
Portuguese Catholic University

Brief Bio

Professor Castro Caldas is currently Director of the Institute of Health Sciences of Portuguese Catholic University and was Full Professor of Neurology, until 2004, at the University of Lisbon and Head of the Department of Clinical Neurosciences of the Hospital de Santa Maria, in Lisbon, Portugal.

He earned his M.D. and his Ph.D. from the University of Lisbon School of Medicine, where he started his career in 1974. He has been responsible for the Language Research Laboratory until 1998 and organized the Center for Neurosciences of Lisbon in 1990. He was President of the International Neuropsychological Society (2000-2001).

His publications include two textbooks of Neuropsychology in portuguese, A Herança de Franz Joseph Gall and Viagem ao Cérebro e a algumas das suas Competências and papers in international journals, as: Brain, Neurology, NeuroImage, Journal of Cognitive Neurosciences, JINS, and multiple chapters in national and international books. He is member of the editorial board of several national and international journals. His current research interests include several topics in Cognitive Neurosciences and in particular the modulatory effect of environmental stimulation in the human brain.

We are living the fascinating adventure of brain/machine interface.

Brain mechanisms that are suited to this interface will be reviewed, stressing the role of the biological plasticity necessary for the adaptation to external devices.