* Papers are indexed in Scopus, WoS, DBLP and ACM Digital Library

Data management, knowledge discovery as well as knowledge processing are core and hot topics in computer science. They are widely accepted as enabling technologies for modern enterprises enhancing their performance, especially in the decision making process. Since the 1990s the Internet has been the outstanding driving force for application development in all domains.


An increase in the demand of resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks leads to an evolvement of data and knowledge management systems from centralized systems to decentralized systems enabling large scale distributed applications providing high scalability.

The objective of the international journal on Large Scale Data and Knowledge Centered Systems is to provide an opportunity to disseminate original research contributions and a high quality communication platform for researchers and practitioners. The journal contains sound peer reviewed papers (research, state of the art and technical) of high quality.

Topics of interest include, but are not limited to:

  •    Data Storage and Management
  •    Data Integration and Metadata Management
  •    Data Stream Systems
  •    Data Semantic, Semantic Web and Ontologies
  •    Knowledge Engineering and Processing
  •    Sensor Data and Sensor Networks
  •    Internet of Things and Applications
  •    Dynamic Data Placement Issues
  •    Query Processing and Optimization
  •    Flexible, Robust and Adaptive Query Processing
  •    Support for Scalable and Elastic Services
  •    Data Warehousing
  •    Cost Models
  •    Machine Learning for Data Management
  •    Resource Discovery
  •    Resource Management, Reservation, and Scheduling
  •    Locating Data Sources/Resources and Scalability
  •    Workload Adaptability in Heterogeneous Environments
  •    Transaction Management
  •    Replicated Copy Control and Caching
  •    Data Privacy and Security
  •    Data Mining and Knowledge Discovery
  •    Mobile Data Management
  •    Data Grid Systems
  •    Data Management in Cloud Systems
  •    Pricing Models
  •    P2P Systems
  •    Web Services
  •    Autonomic Data Management
  •    Large Scale Distributed Applications and Experiences
  •    Performance Evaluation and Benchmarking.