Baltic DB&IS 2018 - 13th International Baltic Conference on Databases and Information Systems

The Baltic Conference on Databases and Information Systems is an international forum for researchers and developers focused on databases and information systems. The objective of this conference series is to bring together researchers, practitioners, and PhD students and provide an environment to present their work, discuss current issues and to exchange the ideas. The conference will feature original research and application papers on the theory, design, and implementation of today's information systems on a set of themes and issues. The Doctoral Consortium will be held in line with the main conference.
Submissions are invited on topics including, but not limited to, the following:
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