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    <p class="title">“There are two hard things in computer science: cache invalidation, naming things, and off-by-one errors.”</p>
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    <p class="subtitle">Jeff Atwood</p>
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Revision as of 17:15, 23 February 2018

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About the Conference

The 5thInternational Management Information Systems Conference (IMISC 2018) will take place in Ankara, Turkey, from October 17-19, 2018.

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Conference Theme

The Intelligent Digital Mesh, “an entwining of people, devices, content and services”, is this year’s cross-cutting theme.

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Suggested topics for your contributions.

IMISC 2018 will explore the convergence of business and society in a digital world.

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Topics of Interest

Concepts, models, methods, tools, and techniques in Enterprise and IS Engineering
  • Business process management
  • Business process modeling, analysis, and engineering
  • Requirements engineering
  • Enterprise architecture and frameworks
  • Model-driven engineering
  • Aspect-oriented analysis and modeling
  • Domain-specific languages and tools
  • Blockchain technology
  • Advanced database systems
  • Reuse
  • Testing and validation
Architectures and quality aspects of information systems
  • Service-oriented IS
  • Multi-agent IS
  • Process-aware IS
  • Cloud-based IS
  • Multi-platform IS
  • Cyber-physical systems
  • Internet of things
  • Privacy, trust and security in information systems
  • Quality of services
  • Integration and interoperability
  • Distributed, mobile and open architecture
Domain-specific information systems
  • GIS
  • Medical IS
  • Legal IS
  • Educational IS
Cyber-Social Systems
  • Social computing technologies
  • Smart city
  • Smart government
Big data and its analytics
  • Big data applications
  • Big data integrity
  • Big data processing
  • Security and privacy in the era of data science and big data
  • Big data analysis and semantics
  • Data visualisation
Cognitive Computing
  • Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing
  • Machine learning
  • Neural networks
  • Big data and cognition
  • Big data infrastructure for cognition
Knowledge, ontologies, data and knowledge management
  • Knowledge representation
  • Ontology engineering
  • Enterprise ontology
  • Semantic web
  • Domain ontologies
  • Domain analysis and modeling
  • Education and training
  • Applications and case studies

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“There are two hard things in computer science: cache invalidation, naming things, and off-by-one errors.”

Jeff Atwood