BIS 2015 - 18th International Conference on Business Information Systems

THEME OF THE CONFERENCE
Making Big Data Smarter
For the past years, we have been observing an increasing interest in Big Data, accompanied by development of new, more efficient data analysis methods. Big Data is now a fairly mature concept, recognized and widely used by both research and industry. They work on developing more adequate and efficient tools for data processing and analysing, making Big Data ? Smart Data.
Possibilities that emerge from Smart Data are unlimited, but one will not be able to take advantage of it without appropriate technologies, applications, methods, and business processes. Thus, Smart Data links many fields of computer science and information systems together.
It is our pleasure to invite you to submit your work to BIS 2015 conference. The BIS conference is a well-respected event joining international researchers to discuss the wide range of the development, implementation, application and improvement of business applications and systems. It is addressed to the scientific community, people involved in the development of business computer applications, consultants helping to properly implement computer technology and applications in the industry.
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TOPICS OF THE CONFERENCE
Topics are restricted by the theme of the conference as defined above and they include:
Big & Smart Data
* Big Data analysis
* Linked Data
* applications & usage of Big and Smart Data
* Big Data optimization
* information retrieval from Big Data sources
* data models for Big & Smart Data
* business models for Big & Smart Data
* Business Intelligence tools
Ontologies
* creation, learning, population, evolution and evaluation of ontologies
* ontologies for enterprise content management
* natural language processing and cognitive science
* semantic integration of heterogeneous semi-structured information sources
* interoperability of heterogeneous information systems
* business models for Web information integration and aggregation
* linked open data
Contexts
* location-aware and geography-centric information systems
* wireless and mobile applications
* multi-agent distributed systems
* semantic web personalization
* smart cities
* ambient computing
* RFID and localization techniques
Content Retrieval and Filtering
* search over semi-structural Web sources
* Deep Web search and crawling
* data integration from Web information sources
* modelling and describing evolving data sources
* information gathering support for knowledge-intensive enterprises
* business models for a content
* unified data processing and communication systems
* automatic identification and data collector systems
Collaboration
* knowledge-based collaboration
* social networks and social wikis
* enterprise mashups, Enterprise 2.0
* security in distributed systems
* Web-based model for discoverability, consumption, and reuse
* social networks for healthcare
Service Science
* service oriented computing
* semantic web services
* composition, choreography and orchestration
* trust and quality of service (QoS)
* service level agreements
* distributed computing for the smart grid
Interoperability
* digital ecosystem
* e-infrastructure
* cloud computing
Business Process Management
* semantic business process management
* adaptive and dynamic processes
* supply chain processes
* ERP implementations
* integration of data and processes
* collaborative BPM
Enterprise Modeling
* Modeling of Enterprise Architecture
* Quality of Enterprise Models
* Change Management
* Requirements for Enterprise Modeling
Applications
* future energy
* policy modelling and simulation for e-governance
* technologies for digital culture and cultural heritage
* digital libraries and web archiving
* access to cultural resources
* technologies for a low carbon economy
* safety and healthcare record information reuse
* early warning systems and mobile monitoring
* intelligent medical systems
* business models for Future Internet
* IS in logistics
* …