| Line 125: | Line 125: | ||
<li>Legal IS</li> | <li>Legal IS</li> | ||
<li>Educational IS</li> | <li>Educational IS</li> | ||
| + | </ul> | ||
| + | </div> | ||
| + | <div class="column"> | ||
| + | <h5 class="title is-5">Cyber-Social Systems</h5> | ||
| + | <ul> | ||
| + | <li>Social computing technologies</li> | ||
| + | <li>Smart city</li> | ||
| + | <li>Smart government</li> | ||
</ul> | </ul> | ||
</div> | </div> | ||
| Line 136: | Line 144: | ||
<div class="content"> | <div class="content"> | ||
<div class="columns"> | <div class="columns"> | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
<div class="column"> | <div class="column"> | ||
<h5 class="title is-5">Big data and its analytics</h5> | <h5 class="title is-5">Big data and its analytics</h5> | ||
| Line 156: | Line 156: | ||
</div> | </div> | ||
<div class="column"> | <div class="column"> | ||
| − | <h5 class="title is-5"> Cognitive Computing </h5> | + | <h5 class="title is-5">Cognitive Computing</h5> |
<ul> | <ul> | ||
<li>Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing</li> | <li>Cognitive computing techniques using artificial intelligence, sophisticated pattern and speech recognition, and natural language processing</li> | ||
| Line 164: | Line 164: | ||
<li>Big data infrastructure for cognition</li> | <li>Big data infrastructure for cognition</li> | ||
</ul> | </ul> | ||
| + | </div> | ||
| + | |||
| + | <div class="column"> | ||
| + | <h5 class="title is-5">Knowledge, ontologies, data and knowledge management</h5> | ||
| + | <ul> | ||
| + | <li>Knowledge representation</li> | ||
| + | <li>Ontology engineering</li> | ||
| + | <li>Enterprise ontology</li> | ||
| + | <li>Semantic web</li> | ||
| + | <li>Domain ontologies</li> | ||
| + | <li>Domain analysis and modeling</li> | ||
| + | <li>Education and training</li> | ||
| + | <li>Applications and case studies</li> | ||
| + | </ul> | ||
| + | </div> | ||
| + | <div class="column"> | ||
| + | </div> | ||
| + | </div> | ||
| + | </div> | ||
| + | </div> | ||
| + | </section> | ||
| + | |||
| + | <section class="section tot"> | ||
| + | <div class="container"> | ||
| + | <div class="content"> | ||
| + | <div class="columns"> | ||
| + | <div class="column"> | ||
</div> | </div> | ||
</div> | </div> | ||
Revision as of 07:43, 22 February 2018
- Media:Intelligent-Digital-Mesh.jpg
- Media:Infographic-Gartner.jpg
- Media:Imisc-2016-screenshot.png
- Media:Imisc-2017-screenshot.png
Conference Theme The Intelligent Digital Mesh, “an entwining of people, devices, content and services”, is this year’s cross-cutting theme. Sosyal Medya Uzmanlığı Sosyal Medya Uzmanlığı Sertifika Programı: Dijital ve sosyal medya uzmanı olmak isteyenler, marka yöneticileri, girişimciler, kurum çalışanları ve yöneticileri. MIS Administrative Office Mr. Yusuf Akkaya, Secretariat of the MIS Department Room # B267
Phone +90 312 906 1648 / Fax +90 312 906 2961
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