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AEM 2018 - 2nd International Workshop on Advanced Enterprise Modelling (ins...

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2nd International Workshop on Advanced Enterprise Modelling - AEM 2018

21 - 24 March, 2018 - Funchal, Madeira, Portugal
In conjunction with the 20th International Conference on Enterprise Information Systems - ICEIS 2018

CO-CHAIRS

Aurona Gerber
University of Pretoria
South Africa
Brief Bio

Prof Aurona Gerber is an Associate Professor in the Department of Informatics at the University of Pretoria. She completed a bachelors and masters degree en electronic engineering and worked in industry for nearly 15 years before she completed a PhD in Computer Science and Information Systems at the University of South Africa in 2007. Her current research interests include advanced conceptual modelling and ontologies, as well as the application and integration of these models in information systems, systems architecture and development, and enterprise architecture and engineering. Prof Gerber is the current chair of the South African IEEE SMCS Chapter, and she participated in initiation of the international IEEE SMC Enterprise Engineering and Enterprise Architecture Technical Committee, where she acts as co-chair. She is a founding member and at-large director of the South African Chapter of the Association of Information Systems (AISSAC), a council member of the South African Institute for Computer Scientists and Information Technologists, SAICSIT, and a co-founder of the Enterprise Architecture Research Forum (EARF).

Knut Hinkelmann
University of Applied Sciences Northwestern FHNW
Switzerland
Brief Bio

Prof Knut Hinkelmann is Dean of the Master of Science in Business Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland FHNW. In 1988 he obtained a diploma in Computer Science from the University of Kaiserslautern and a Ph.D. in Natural Sciences from the Computer Science Department of the same university in 1995. From 1990 until 1998 he was researcher and later head of the Knowledge Management research group at the German Research Center for Artificial Intelligence (DFKI). From 1998 until 2000 he worked as product manager for Insiders Information Management GmbH. He joinded the University of Applied Sciences and Arts Northwestern Switzerland FHNW in August 2000 as a professor for Information Systems. From 2002 to 2008 he was dean of the Bachelor of Science in Business Information Technology. He was supervisor and external examiner of several PhD Theses and guest lecturer at University of Vienna, University of Krems and University of Camerino. Furthermore he was CEO of the KIBG GmbH from 1996 until 1998; and from 2006 until 2012 he was Scientific Advisor of STEAG & Partner AG. For information on Prof Hinkelmann’s research.

Paula Kotzé
CSIR Meraka Institute and University of Pretoria
South Africa
Brief Bio

Prof. Paula Kotzé is Chief Researcher at the Meraka Institute of the Council for Scientific and Industrial Research (CSIR) in South Africa. She is also Professor Extraordinaire at the Department of Informatics at the University of Pretoria, South Africa.

Ulrich Reimer
University of Applied Sciences St. Gallen
Switzerland
Brief Bio

Prof. Dr. Ulrich Reimer studied computer science and received his doctorate in 1987 at the Information Science Dept. of the University of Konstanz with a thesis on formal ontologies for natural language understanding. In 1992 he received his habilitation at the University of Konstanz. For more than 10 years Ulrich Reimer was head of the IT R&D group of Swiss Life and responsible for large-scale research projects. Since 2005 he has been with the Institute of Information and Process Management at the University of Applied Sciences St. Gallen where his main research activities are in the areas of semantic technologies, behavioural change support systems, and model-driven development, primarily in the application area of eHealth.

Alta van der Merwe
University of Pretoria
South Africa

Brief Bio
Prof Alta van der Merwe is currently the Deputy Dean Teaching and Learning within the Faculty of Engineering, Built Environment and Information Technology. Prof Alta van der Merwe focuses on the design of socio-technical solutions with research activities in enterprise architecture, data science and different theories supporting the successful use of technology in the organization. Her interest also includes the design of systems using innovative and new approaches such as crowdsourcing and content awareness. Prof van der Merwe is serving her second term as president of South African Institute of Computer Scientists and Information Technologists (SAICSIT). She is the founder and past chair of the South African IEEE SMCS Chapter, specialist editor of the SAIEE Journal (Software Engineering track) and co-founder and past chair of the Enterprise Architecture Research Forum (EARF). On International level she was involved in the proposal and acceptance of the IEEE SMC Enterprise Engineering and Enterprise Architecture Technical Committee, where she still acts as co-chair.

SCOPE

The operating environment of most organizations or enterprises today is increasingly complex and changing rapidly. Leading technology discussions today often refer to the emerging and disruptive technology trends that would dramatically alter our socio-technical and socio-economic landscape in the near future. Technologies, techniques and methodologies that can assist enterprises with not only positioning for disruptive environments but also harnessing of potential benefits provided by the fast changing operating environment, such as included in enterprise architecture and engineering, are increasingly important. A core component of any enterprise approach are the models that need to be developed in order to understand, organize, simulate, design, communicate, implement and integrate all aspects of the enterprise that are embodied in its elements (people, processes, applications, etc.), their relationships to each other and to the environment, and the principles guiding its design and evolution.

TOPICS OF INTEREST
The 1st International Workshop on Advanced Enterprise Modelling (AEM 2017) aims to provide a platform for researchers and practitioners to share research and experiences and discuss emerging developments in advanced enterprise modelling. The Workshop Chairs therefore invite authors to submit original research and development papers on topics of interest in advanced enterprise modelling that include, but are not limited to:

Modelling approaches/methods:
  • Agile methods for enterprise modelling and enterprise architecture
  • Enterprise ontologies
  • Ontologies and enterprise modelling
  • Domain-specific modelling languages
  • Enterprise models with formal semantics
  • Rule systems in enterprise modelling
  • Meta-modelling for enterprises and enterprise information systems
  • Enterprise systems engineering
  • Interoperability of (models for) enterprise information systems


Modelling for specific domains/fields of study:
  • Modelling knowledge work
  • Decision modelling and decision management
  • Business capability modelling
  • Enterprise modelling for business-IT alignment
  • Enterprise interoperability
  • Interoperability in enterprise information systems
  • Conceptual modelling for enterprises and enterprise architecture
  • Modelling organisational change

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. DATABASES AND INFORMATION SYSTEMS INTEGRATION
2. ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS
3. INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION
4. SOFTWARE AGENTS AND INTERNET COMPUTING
5. HUMAN-COMPUTER INTERACTION
6. ENTERPRISE ARCHITECTURE


AREA 1: DATABASES AND INFORMATION SYSTEMS INTEGRATION

Coupling and Integrating Heterogeneous Data Sources
Legacy Systems
Organisational Issues on Systems Integration
Mobile Databases
Enterprise Resource Planning
Middleware Integration
Databases in the Cloud
Data Mining
Data Warehouses and OLAP
Performance Evaluation and Benchmarking
Large Scale Databases
Non-relational Databases
Query Languages and Query Processing
Distributed Database Systems

AREA 2: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS

Evolutionary Programming
Group Decision Support Systems
Industrial Applications of Artificial Intelligence
Strategic Decision Support Systems
Advanced Applications of Neural Network
Applications of Expert Systems
Advanced Applications of Fuzzy Logic
Intelligent Agents
Case-Based Reasoning Systems
Multi-Agent Systems
Scheduling and Planning
Operational Research
Problem Solving
Game Theory Applications
Intelligent Transportation System
Natural Language Interfaces and Systems

AREA 3: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION

Software Engineering
Knowledge Management
Modelling of Distributed Systems
Ontology Engineering
Security
Simulation
Requirements Analysis and Management
Tools, Techniques and Methodologies for System Development
Model Driven Architectures and Engineering
Modelling Formalisms, Languages, and Notations (e.g. UML, ER variants)
Organisational Learning
Project Management
Semiotics in Information Systems
Software Metrics and Measurement

AREA 4: SOFTWARE AGENTS AND INTERNET COMPUTING

Wireless and Mobile Computing
E-Learning and E-Teaching
Ubiquitous Computing
Virtual Enterprises
Interoperability
Web Services
Web 2.0 and Social Networking
Internet Agents
Collaborative Computing
Electronic Commerce
Internet Portals
Profiling and Recommendation Systems
Internet of Things
Internet Systems Performance
Semantic Web Technologies and Applications

AREA 5: HUMAN-COMPUTER INTERACTION

HCI on Enterprise Information Systems
Human Factors
Multimedia Systems
Virtual Reality and Augmented Reality
Geographical Information Systems
Guidelines, Principles, Patterns and Standards
Adaptive and Adaptable User Interfaces
Interaction Techniques and Devices
Interface Design
Ergonomics
Emotional and Affective Computing
Haptic Interfaces
Accessibility and Usability
Collaborative and Social Interaction
Multiple Sensory Devices

AREA 6: ENTERPRISE ARCHITECTURE

Enterprise Engineering
Models and Frameworks
Enterprise Knowledge Engineering and Management
Business Modelling and Business Process Management
Business-IT Allignment
EA Adoption and Governance
EA and Organizational Theory and System Development
EA and Service Oriented Architecture (SOA)
Methods, Processes and Patterns for EA Development
Measurements, Metrics and Evaluation of EA Artefacts and Processes
Architectures and Design Principles for Enterprise Repositories
Maturity Models for EA Artefacts and Processes
Evolution of EA
Objective Control in EA

Important Dates

Conference

Regular Papers
Paper Submission: October 18, 2017
Authors Notification: December 19, 2017
Camera Ready and Registration: January 4, 2018

Position Papers
Paper Submission: November 22, 2017
Authors Notification: January 11, 2018
Camera Ready and Registration: January 24, 2018

Workshops
Workshop Proposal: November 3, 2017
Paper Submission: January 11, 2018
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018

Doctoral Consortium
Paper Submission: January 15, 2018
Authors Notification: January 26, 2018
Camera Ready and Registration: February 7, 2018

Special Sessions
Special Session Proposal: November 3, 2017
Paper Submission: January 11, 2018
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018

Tutorials
Tutorial Proposal: January 30, 2018

Demos
Demo Proposal: January 30, 2018

Panels
Panel Proposal: January 30, 2018

Open Communications
Paper Submission: January 15, 2018
Authors Notification: January 26, 2018
Camera Ready and Registration: February 7, 2018


Keynote Lectures

Decision Guidance Systems and Applications to Manufacturing, Power Grids, Supply Chain and IoT
Alexander Brodsky, George Mason University, United States

Available soon
Plamen Angelov, Lancaster University, United Kingdom

Available Soon
Salvatore Distefano, Università degli Studi di Messina, Italy


Decision Guidance Systems and Applications to Manufacturing, Power Grids, Supply Chain and IoT




Alexander Brodsky
George Mason University
United States

Brief Bio
Alex Brodsky is Professor in the department of Computer Science and Director of the Masters of Science Degree in Information Systems at George Mason University. He teaches classes in Database Management and Decision Guidance Systems, graduated 15 PhD students and currently advises other four. Alex’s current research interests include Decision Support, Guidance and Optimization (DSGO) systems; and DSGO applications, including to Energy, Power, Manufacturing, Sustainability and Supply Chain. He earned his Ph.D. and prior degrees in Computer Science and/or Mathematics from the Hebrew University of Jerusalem.
Alex has published over 115 refereed papers, including five that received Best Paper Awards, in scholarly peer-reviewed journals, books and conference/workshop proceedings. For his research work related to DSGO systems, Alex received a National Science Foundation (NSF) CAREER Award, NSF Research Initiation Award, and funding from the Office of Naval Research (ONR), National Aeronautics and Space Administration (NASA), National Institute of Standards and Technology (NIST), and Dominion Virginia Power.
Alex serves/ed in leadership roles in research conferences, including as Conference Chair of IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2017); Program Chair of IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2013); Program Co-chair of the IEEE ICDE workshop on Data-Driven Decision Guidance and Support Systems (DGSS 2012, and DGSS 2013); General Vice Co-chair of the IEEE International Conference on Data Engineering (ICDE 2012); and Conference Chair of the Fifth International Conference on Principles and Practice of Constraint Programming (CP99).
Prior to joining Mason in 1993, Alex worked at IBM T.J. Watson Research Center, at Israel Aircraft Industries and was an R&D officer in the Computer Division of Communications, Electronics and Computer Corps, Israel Defense Forces. He also has start-up and commercialization experience, and is a member of ACM, IEEE, INFORMS and INSTICC.

Abstract
Decision Support Systems (DSS) are widely used to support organizational and personal decision-making in diverse areas such as engineering systems, finance, business, economics and public policy. They are becoming increasingly critical with the information overload from the Internet. While the scope of DSS is broad, Decision Guidance Systems (DGS) are a class of DSS geared to elicit knowledge from domain experts and provide actionable recommendations to human decision-makers, with the goal of arriving at the best possible course of action.
Currently, the practice of building Decision Guidance (DG) Systems resembles developing database applications decades ago before the invention of the relational Database Management Systems (DBMS). DG applications are typically one-off and hard-wired to specific problems; require significant interdisciplinary expertise to build; are highly complex and costly; and are not extensible, modifiable, or reusable. Therefore, a paradigm shift for the development of DG systems is needed. The key idea is to introduce and develop Decision Guidance Management Systems (DGMS), which would allow fast and easily-extensible development of DG applications, similar to easy development of DB applications using DBMS.
In this talk I will overview research toward this goal, including the recently developed Unity DGMS, and exemplify its use in the area of manufacturing, energy and power. I will also discuss ideas on how to use the emerging DGMS technology to translate the potential and multibillion dollar investment in Internet of Things (IoT) into business value, e.g., through (1) better predictability of demand and inventory visibility, (2) better tracking and efficiency of equipment and operating assets (3) accelerated innovation and product support, (4) improved alignment and collaboration among business functions and (5) sustainability and quality through visibility to energy and resource consumption.

Keynote Lecture




Plamen Angelov
Lancaster University
United Kingdom

Brief Bio

Dr Plamen Angelov, is a Reader in Computational Intelligence and coordinator of the Intelligent Systems Research at Infolab21, Lancaster University, UK. He is a Senior Member of the IEEE and Chair of two Technical Committees (TC); TC on Standards, Computational Intelligence Society and TC on Evolving Intelligent Systems, Systems, Man and Cybernetics Society. He is also a member of the UK Autonomous Systems National TC, of the Autonomous Systems Study Group, NorthWest Science Council, UK and of the Autonomous Systems Network of the Society of British Aerospace Companies. He is a very active academic and researcher who authored or co-authored over 150 peer reviewed publications in leading journals (50+) peer-reviewed conference proceedings, a patent, a research monograph, a number of edited books, and has an active research portfolio in the area of computational intelligence and autonomous system modelling, identification, and machine learning. He has internationally recognised pioneering results into on-line and evolving methodologies and algorithms for knowledge extraction in the form of human-intelligible fuzzy rule-based systems and autonomous machine learning. Dr. Angelov is also a very active researcher leading projects funded by EPSRC, ASHRAE-USA, EC FP6 and 7, The Royal Society, Nuffield Foundation, DTI/DBIS, MoD, industry (BAE Systems, 4S Information Systems, Sagem/SAFRAN, United Aircraft Corporation and Concern Avionica, NLR, etc.). His research contributes to the competitiveness of the industry, defence and quality of life through projects, such as the ASTRAEA project - a £32M (phase I and £30M phase II) programme, in which Dr. Angelov led projects on Collision Avoidance (£150K, 2006/08), and Adaptive Routeing (£75K; 2006/08). The work on this project was recognised by 'The Engineer Innovation and Technology 2008 Award in two categories: i) Aerospace and Defence and ii) The Special Award. Other examples of research that has direct impact on the competitiveness of UK industry and quality of life are the BAE Systems-funded project on Sense and Avoid (principal investigator, £66K; 2006/07), BAE funded project on UAS Passive Sense, Detect and Avoid Algorithm Development (£24K consultancy, a part of ASTRAEA-II, 2009), the BAE Systems-funded project (co-investigator, £44K, 2008) on UAV Safety Support, EC-funded project (€1.3M, co-investigator) on Safety (and maintenance) improvement trough automated flight data Analysis, the Ministry of Defence funded projects ('Multi-source Intelligence: STAKE: Real-time Spatio-Temporal Analysis and Knowledge Extraction through Evolving Clustering', £30K, principal investigator, 2011 and Assisted Carriage: Intelligent Leader-follower algorithms for ground platforms, £42K, 2009 which developed unmanned ground-based vehicle prototype taken further by Boeing-UK in a demonstrator programme in 2009-11), so called 'innovation vouchers by the North-West Development Agency-UK and Autonomous Vehicles International Ltd. (£10K, 2010, principal investigator), MBDA-led project on Algorithms for automatic feature extraction and object classification from aerial images (£56K, 2010) funded by the French and British defence ministries. Dr. Angelov is also the founding Editor-in-Chief of the Springer's journal on Evolving Systems and serves as an Associate Editor of several other international journals. He also Chairs annual conferences organised by IEEE, acts as Visiting Professor (2005, Brazil; 2007, Germany; 2010, Spain) regularly gives invited and plenary talks at leading companies (Ford, The Dow Chemical, USA; QinetiQ, BAE Systems, Thales, etc.) and universities (Michigan, USA; Delft, the Netherlands; Leuven, Belgium, Linz, Austria, Campinas, Brazil, Wolfenbuettel, Germany, etc). More information can be found at www.lancs.ac.uk/staff/angelov.


Keynote Lecture




Salvatore Distefano
Università degli Studi di Messina
Italy

Brief Bio
Salvatore Distefano is an Associate Professor at University of Messina, Italy, and Fellow Professor at Kazan Federal University, head of the Social and Urban Computing Group and of the Cisco Innovation Center in Kazan. He was formerly an Assistant Professor at Politecnico di Milano (2011-2015). In 2001 he got the master degree in Computer Engineering from University of Catania, and then, in 2006, he received the PhD degree on Computer Science and Engineering from University of Messina.
He authored and co-authored more than 170 scientific papers and contributions to international journals, conferences and books.
He took part to several national and international projects, such as Reservoir, Vision (EU FP7), SMSCOM (EU FP7 ERC Advanced Grant), Beacon, IoT-Open.EU (EU H2020).
He is a member of international conference committees and he is in the editorial boards of IEEE Transactions on Dependable and Secure Computing, International Journal of Performability Engineering, Journal of Cloud Computing, International Journal of Engineering and Industries, International Journal of Big Data, International Journal of Computer Science & Information Technology Applications, International Journal of Distributed Sensor Networks.
He has also acted as guest editors for special issues of the Journal of Risk and Reliability, Journal of Performability Engineering, ACM Performance Evaluation Review and IEEE Transactions on Dependable and Secure Computing
His main research interests include non-Markovian modelling; performance and reliability evaluation; dependability; Quality of Service/Experience; Service Level Agreement; Parallel and Distributed Computing, Grid, Cloud, Autonomic, Volunteer, Crowd, Edge, Fog Computing; Internet of Things; Smart Cities; Swarm and collective intelligence; Big Data; Software and Service Engineering. During his research activity, he contributed to the development of several tools such as WebSPN, ArgoPerformance, GS3 and Stack4Things.
He is also one of the co-founder of the SmartMe.io start up, a spin-off of the University of Messina established in 2017.


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Portugal

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