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ICEIS 2018 - 20th International Conference on Enterprise Information System...

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Hotel Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

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Description

ICEIS 2018 will be held in conjunction with ENASE 2018 and ICT4AWE 2018.
Registration to ICEIS allows free access to the ENASE and ICT4AWE conferences (as a non-speaker).


UPCOMING DEADLINES
Regular Paper Submission: October 18, 2017
Regular Paper Authors Notification: December 19, 2017
Regular Paper Camera Ready and Registration: January 4, 2018
The purpose of the 20th International Conference on Enterprise Information Systems (ICEIS) is to bring together researchers, engineers and practitioners interested in the advances and business applications of information systems. Six simultaneous tracks will be held, covering different aspects of Enterprise Information Systems Applications, including Enterprise Database Technology, Systems Integration, Artificial Intelligence, Decision Support Systems, Information Systems Analysis and Specification, Internet Computing, Electronic Commerce, Human Factors and Enterprise Architecture.
CONFERENCE 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
CONFERENCE CO-CHAIRS
Olivier Camp, MODESTE/ESEO, France
Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal
PROGRAM CO-CHAIRS
Slimane Hammoudi, ESEO, MODESTE, France
Michal Smialek, Warsaw University of Technology, Poland
KEYNOTE SPEAKERS
Alexander Brodsky, George Mason University, United States
Plamen Angelov, Lancaster University, United Kingdom
Salvatore Distefano, Università degli Studi di Messina, Italy
WORKSHOPS
Advanced Enterprise Modelling - AEM
Chairs: Aurona Gerber, Knut Hinkelmann, Paula Kotzé, Ulrich Reimer and Alta van der Merwe
Submission: January 11, 2018

Information Value Management - Challenges in an Area of Digitalisation and Big Data - IVM
Chairs: Mouzhi Ge and Markus Helfert
Submission: January 11, 2018

SPECIAL SESSIONS
Fuzziness in Smart Cities - SCIFI
Chairs: Miroslav Hudec and Edy Portmann
Submission: January 11, 2018

DOCTORAL CONSORTIUM
OPEN COMMUNICATIONS
Submission: January 15, 2018


SCOPE

The purpose of the 20th International Conference on Enterprise Information Systems (ICEIS) is to bring together researchers, engineers and practitioners interested in the advances and business applications of information systems. Six simultaneous tracks will be held, covering different aspects of Enterprise Information Systems Applications, including Enterprise Database Technology, Systems Integration, Artificial Intelligence, Decision Support Systems, Information Systems Analysis and Specification, Internet Computing, Electronic Commerce, Human Factors and Enterprise Architecture. ICEIS focuses on real world applications; therefore authors should highlight the benefits of Information Technology for industry and services. Ideas on how to solve business problems, using IT, will arise from the conference. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICEIS. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions. Workshops, providing a more interactive and focused platform for presenting and discussing new and emerging ideas or special sessions, dedicated to case-studies and commercial presentation are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat.

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

KEYNOTE SPEAKERS

Alexander Brodsky, George Mason University, United States
Plamen Angelov, Lancaster University, United Kingdom
Salvatore Distefano, Università degli Studi di Messina, Italy
PAPER SUBMISSION

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.

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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Hotel Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

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