About ICIST 2019

9th International Conference on Information Society and Techology will be held on Kopaonik, Serbia on Mar 10-13, 2018.

ICIST Conference series is one of the top IT scientific events in the region, with 70-100 papers presented each year, average of 200 participants per edition, attended also by the number of IT industry representatives in the region. It hosts distinguished scientists keynotes (in past years, we were honored to share the stage with Richard Mark Soley, Orri Erling, Howard Moskowitz, Bran Selić and others), scientific sessions, panel discussions, industry presentations with exciting social programme for motivated and successfull networking. It is a perfect venue for networking, dissemination of recent research results, getting new project ideas, finding new scientific partners and bringing great vibes back home.

The conference is open for all scientific contributions to the different areas of ICT. It also welcomes technical papers with case studies and demonstrations of novel ICT technologies and approaches in industry and society. It hosts loyal research communities dealing with the areas of information systems, model-based software engineering, e-government, big data, biomedical engineering, semantic web research and since recently, Internet of Things.

All accepted papers will be published in ICIST digital repository. Past editions of the online proceedings can be viewed here: ICIST2014, ICIST2015, ICIST2016, ICIST2017, ICIST2018.

List of accepted special tracks:

Special Track: Semantic technologies for Big Data: Volume, Velocity, Variety and Veracity, chaired by: Jens Lehmann, Emanuel Sallinger and Valentina Janev

Special Track: Artificial Intelligence-enabled Enterprise Information Systems, chaired by: Milan Zdravković and Hervé Panetto

Disrupting innovation in IT

The expectations of the society from IT industry to resolve ever lasting issues, combined with new environmental and societal challenges of the changed world received a big boost with the emergence of recent so called disruptive innovations in IT. Instead of sustainably developing the existing paradigms and approaches, disruptive innovation displace the established technologies, shakes up the industry with ground-breaking products and services and create whole new markets.

The expectations of the society from IT industry to resolve ever lasting issues, combined with new environmental and societal challenges of the changed world received a big boost with the emergence of recent so called disruptive innovations in IT.

Instead of sustainably developing the existing paradigms and approaches, disruptive innovation displace the established technologies, shakes up the industry with ground-breaking products and services and create whole new markets.

The key focus of the 9th ICIST edition is on 'Disrupting IT'. According to Forrester Research analysis (2017), technologies with the most disruptive potential today are: Internet-of-Things, Intelligent Agents, Augmented and Virtual Reality, AI/Cognitive and Hybrid wireless. With addition of the most recent outbrake of Blockchain hype, that is the list we use to set the bar for 2019' ICIST.

Still, the world cannot wait for all those technologies to mature or die before they pass the long valley of death from research to innovation. Thus, ICIST remains and it will always be open for so called sustaining IT, bringing incremental and stable improvements in solving the societal challenges. The scientific topics that were continuously and consistently addressed in the past remain a big priority in paper selection. Those topics are:

 

Information Systems

Systems Engineering. Enterprise Architecture and Modelling. Service-Oriented Architectures. Web Information Systems. Integration and Interoperability. Embedded Systems. Computer and Networks Security. Business Process Management...

 

Software Engineering

Artificial Intelligence. Algorithms and Data Structures. The Software Process. Databases. Model-Driven Software Engineering. Domain Specific Languages. Machine Learning. Information Retrieval. Data Mining. Human-Computer Interaction...

 

Information Society

Open Data. Open Government. E-Government. E-Learning. E-Health. Digital Libraries. ICT Ethical Aspects. Virtual Communities. Social Networking and Broadcasting. Electronic Data Interchange. Cloud Computing...

 

ICT and Societal Challenges

Energy and Environment. Biomedical Engineering. Mechanical Engineering. Electrical Engineering. Food and Agriculture. Transport. Secure Societies. Inclusive Societies...

ICIST Special Tracks


CakePHP

Semantic technologies for Big Data: Volume, Velocity, Variety and Veracity

Session supported by LAMBDA project, https://project-lambda.org/

With characteristics like Volume, Velocity, Variety and Veracity, Big Data throws challenges to the existing IT establishments. Researchers and professionals face challenges when exploring Big Data sets and when extracting value and knowledge from different data sources. 

Although various modelling approaches and schemes have been proposed by the Semantic Community that could contribute to standardization of the Big Data pipelines and development of Big Data applications, specific approaches for Big Data applications are required.

In this special session we seek to raise discussion on:

  • How could Data Semantics principles be applied in Big Data technologies e.g. representing the entire pipeline of technologies connected to achieve a specific solution and make this representation shareable and verifiable in different cases?
  • How could various analytical techniques including data mining, visualization, statistical analysis, and machine learning be applied in Big Data scenarios?
  • What are the challenges raised by Big Data computing systems?
  • What are the architectures, strategies and practices that are currently followed in Big Data computing?

Additional topics relevant to this session include — but are not limited to — the following:

  • Artificial Intelligence / machine learning algorithms
  • Knowledge graphs and NoSQL databases
  • Centralized, federated, and distributed SPARQL query processing
  • SPARQL Analytical Queries
  • Security and privacy in querying the Web of Data
  • Interoperability and Integration in different domains
  • Analytics Services in Big Data applications (Geospatial Data Management, Renewable Energies,  Energy Efficiency, Healthcare, eGovernment, Sustainable and Smart Cities, IoT applications, etc)
  • Big Data Analytics, Industry Analytics

This session is intended to be a meeting point for the research communities of semantic data management, analytics and Big Data. For providing a forum for sharing novel ideas, SemTech session welcomes a broad spectrum of contributions, including: Full research papers, position papers, case studies or evaluations. Authors are invited to submit original, unpublished contributions related to the aforementioned topics.

Co-chairs:

  • Lehmann, Jens (jens.lehmann@cs.uni-bonn.de). Smart Data Analytics Group, University of Bonn, Bonn, Germany Enterprise Information Systems, Fraunhofer IAIS, , Germany
  • Sallinger, Emanuel (emanuel.sallinger@cs.ox.ac.uk). Department of Computer Science, University of Oxford, , UK
  • Janev, Valentina (valentina.janev@institutepupin.com). University of Belgrade, Institute Mihailo Pupin, Belgrade, Serbia

ICIST Special Tracks


CakePHP

Artificial Intelligence-enabled Enterprise Information Systems

Capacity and capability to adapt has become a key factor of competitiveness in the industry today. It can be considered on both micro and macro levels and it encompasses range of circumstances, from the optimal operational response to disturbances at the shop floor level, to business decisions related to changing market trends. To some extent, the capacity to adapt is related to access to relevant data, owned by the enterprise or from external providers, while capability corresponds to the enterprise ability and skills to effectively interpret, understand and process this data and make best informed decisions on the industry’s operations and market environment trends. The former (capacity to adapt) is/will be achieved in so-called sensing enterprise, the enterprise which continuously listens to its internal and external environment, by using the technologies such as sensors, embedded electronics and multi-agent systems. The paradigms of Cyber-Physical Systems and Internet of Things are considered as critical enablers for the sensing enterprise development strategies. The latter (capability to adapt) is related to making sense of all this data and it is expected to be achieved in so-called AI-enabled enterprise.

Enterprise Information Systems (EIS) aim to solve common problems, such as lack of process automation, flexibility, responsiveness, scalability, traceability and integration in as less as possible intrusive way. However, they often fail to address those issues consistently and the typical reason for that is complexity of the process of EIS development and/or implementation in which different and diverse stakeholders fail to effectively communicate around the business objectives and key factors for their achievement. Complexity is multiplied with the factor of long duration of the software development lifecycle in which those objectives could easily become legacy. Emerging solution to this problem is Model-Driven Engineering (MDE) which facilitates near real-time system customization and efficient response to a change. However, MDE relies on the human perceptions of the realities of the enterprise which are sometimes incomplete or inaccurate. AI-enabled enterprise would effectively address this challenge by embedding machine-learned understanding of the enterprise realities represented by raw data, into the respective models. Furthermore, AI-enabled enterprise is capable to implement those models and to make decisions based on those models in a real-time.

The objective of this Special Track is to provide evidences on the maturity of the technologies which facilitate AI-enabled EIS, where this maturity may be considered at the levels of development, implementation and integration with existing EIS. Technologies that are commonly known as parts of AI stack are Machine Learning (including Deep Learning), Natural Language Processing (NLP) and knowledge representation and reasoning. Different industries would be taken into account, such as manufacturing, logistics, banking and finance, agriculture, healthcare and others. In those domains, SI seeks for the solutions to the common problems, such as process automation, process mining and discovery, security, compliance, decision making support, image recognition and processing, marketing automation, negotiation automation, etc.

The Special Track seeks for original contributions in using so-called AI technologies, namely data science and predictive analytics, Machine Learning (including Deep Learning), Natural Language Processing (NLP), knowledge representation and reasoning and similar, in the following topics and fields:

  • Decision making support
  • Process automation
  • Process discovery and mining
  • Marketing automation
  • Smart Customer Relationship Management
  • Smart Human Resources Management
  • Facilitating AI models development lifecycle
  • Cloud-based AI platforms and services
  • AI-enabled software agents
  • Business models for AI-enabled enterprises
  • AI-enabled blockchain
  • AI-enabled Cyber-Physical Systems
  • AI-enabled Internet of Things
  • Legal issues of AI-enabled enterprises
  • Security issues of AI-enabled enterprises
  • Maturity models for AI-enabled enterprises
  • Applied AI-enabled EIS solutions in different domains
  • Other relevant topics and fields

Co-chairs:

  • Zdravković, Milan (milan.zdravkovic@gmail.com). Faculty of Mechanical Engineering, University of Niš, Niš, Serbia
  • Panetto, Hervé (herve.panetto@univ-lorraine.fr). Research Center for Automatic Control of Nancy (CRAN), Université de Lorraine, Nancy, France

Important Dates

1 Dec 01

Track Proposals

2 Dec 25

Abstract Submission

3 Feb 15

Decisions Sent to Authors

4 Feb 24

Conference Registration

5 Mar 10

Conference is Opened

6 Apr 15

Full Paper Submission

ICIST 2019 Committees

Organizing Committee (OC) is in charge for the organization of the conference. All decisions related to the scientific programme are made by the International Programme Committee (IPC), based on the peer review process, coordinated by the IPC co-chairs. Track chairs are in charge of setting up a scientific programme in the specific topics, which are decided upon based on the submitted track proposals.

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Zora Konjović

Novi Sad, Serbia
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Milan Zdravković

Niš, Serbia
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Miroslav Trajanović

Niš, Serbia
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Miodrag Ivković

Novi Sad, Serbia
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Martina Laskač

Belgrade, Serbia
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Alexis Aubry

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Miloš Bogdanović

Niš, Serbia
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Zorica Bogdanović

Belgrade, Serbia
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Osiris Canciglieri Jr.

Curitiba, Brasil
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Carlos Coutinho

Lisbon, Portugal
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Mariana Damova

Sofia, Bulgaria
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Igor Dejanović

Novi Sad, Serbia
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Dejan Drajić

Novi Sad, Serbia
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Stevan Gostojić

Novi Sad, Serbia
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Wided Guédria

Luxembourg
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Luka Humski

Zagreb, Croatia
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Lidija Ivanović

Sombor, Serbia
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Dragan Ivanović

Novi Sad, Serbia
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Valentina Janev

Belgrade, Serbia
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Ricardo Jardim-Goncalves

Caparica, Portugal
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Dorina Kabakchieva

Sofia, Bulgaria
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Theo Kanter

Kista, Sweden
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Nikola Korunović

Niš, Serbia
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Anton Kos

Ljubljana, Slovenia
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Aleksandar Kovačević

Novi Sad, Serbia
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Mario Lezoche

Nancy, France
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Eduardo R. Loures

Curitiba, Brazil
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Ivan Luković

Novi Sad, Serbia
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Zoran Marjanović

Belgrade, Serbia
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Ivan Milentijević

Niš, Serbia
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Gordana Milosavljević

Novi Sad, Serbia
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Branko Milosavljević

Novi Sad, Serbia
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Maria Mimikou

Athens, Greece
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Siniša Nešković

Belgrade, Serbia
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Siniša Nikolić

Novi Sad, Serbia
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Đorđe Obradović

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Dušan Okanović

Novi Sad, Serbia
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Hervé Panetto

Nancy, France
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Mirjana Pejić Bach

Zagreb, Croatia
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Erik Proper

Luxembourg
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David Romero Diaz

Mexico
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Ioan Stefan Sacala

Bucharest, Romania
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Joao Sarraipa

Caparica, Portugal
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Goran Savić

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Milan Segedinac

Novi Sad, Serbia
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Jean Simao

Curitiba, Brazil
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Goran Sladić

Novi Sad, Serbia
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Jelena Slivka

Novi Sad, Serbia
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Richard Mark Soley

Needham, USA
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Paulo Cézar Stadzisz

Curitiba, Brazil
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Kamelia Stefanova

Sofia, Bulgaria
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Leonid Stoimenov

Niš, Serbia
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Anderson Luis Szejka

Curitiba, Brasil
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Milan Trifunović

Niš, Serbia
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Anton Umek

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Milan Vidaković

Novi Sad, Serbia
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William Wei Song

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Georg Weichhart

Steyr-Gleink, Austria
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Miroslav Zarić

Novi Sad, Serbia
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Jelena Zdravković

Kista, Sweden
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Jens Lehmann

Bonn, GermanyGermany
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Emanuel Sallinger

UK

Call for contributors

Call for initial submissions

We welcome submission of extended abstracts presenting original unpublished work which is not been submitted for publication elsewhere. Initial submissions must comply to the specific requirements, as it follows.

The initial submissions must be made by using EasyChair platform, in the form of extended abstract. The extended abstract must consicely and clearly highlight all following aspects: research motivation and the problem, the research question(s), methodology, description of the solution and/or the discussion. The evaluation of the extended abstracts will be double-blind. Thus, author names, addresses, emails and affiliations MUST NOT be included in the extended abstract. The extended abstract must be created by using the template below, submitted in PDF format, and it MUST NOT exceed 4 A4 pages including figures. Only key references should be included.

The initial submissions will be peer reviewed by IPC members. After the decisions are distributed, the authors with accepted submissions will be invited to submit full papers for publishing in the ICIST 2019 Proceedings book. The specific deadline for full papers will be May, 1st, 2019 (template for full papers can be downloaded here). In order to have the submitted full paper published in the Proceedings book, at least one author or co-author must be registered at the conference and present the paper in regular or poster session. When submitting the extended abstract for a special track, select the special track title in the submission form.

Call for Special track proposals

We invite researchers to propose tracks on their particular field of interest, within the scope of the ICIST conferences. There should be one to three track co-chairs in each track and one of the co-chairs should be designated as the primary contact person. The responsibilities of the co-chairs are defined, as it follows.

The co-chairs will promote the special track and take actions to ensure an adequate number of submissions. Minimum number of accepted papers for a succesful special track is 6 in regular sessions + 2 in poster. The special track co-chairs will organize a peer review process for the extended abstracts submitted to their track and propose the list of the papers to be included in the conference programme to IPC co-chairs. At least one of the co-chairs must be registered to the conference and serve as a session chair in his/her own track.

The proposal for a special track must enclose the title and short abstract, list of co-chairs with their affiliations, list of potential reviewers, overview of the scientific communities (associations, working groups, standardization bodies, project consortiums, etc.) which the co-chairs will address and a proposal for a keynote. Special track proposals should not exceed 2 A4 pages and they should be sent by email to the programme chair.

For each of the succesful tracks/special sessions, the organizer will cover the costs of stay (3 nights/HB) and registration costs for one person. Local transport arrangements also possible.

  Submit abstract

About the venue

Grand Hotel & Spa Kopaonik

Venue photo

Kopaonik is a mountain in the central part of Serbia and the largest mountain range in the country. The highest point is the Pančić's Peak with 2,017 m. Kopaonik is a major ski resort in Serbia, and after Bulgaria's Bansko, the largest in Southeast Europe. There are 25 ski lifts with capacity of 32,000 skiers per hour.

Grand Hotel & Spa is situated at an exclusive location, near the ski slopes and ski lifts in the beautiful environment of the National Park Kopaonik. Premium comfort and convenience in 221 guest rooms and suites, complemented by numerous facilities for relaxation and enjoyment throughout the year, including spa & wellness area, congress center, fitness center, sports hall, space bowling center and a la carte restaurant Garden.

Contacts

Registration and conference logistics: office AT yuinfo.org

Accommodation and transfer: SMART Travel, office AT smart-travel.rs, +381 11 308 66 94

Scientific programme: Milan Zdravković, milan.zdravkovic AT gmail.com