About the Journal

DaSKE is a peer-reviewed open access journal. It aims to share publication in an international community of Data sciences and knowledge engineering. The journal focus on the most important domains of information and communication technology including but not limited to:

• Databases, Datawarhousing
• Datamining
• Knowledge-Based systems
• Case-Based Reasoning
• Data and Knowledge Processing
• Software engineering
• Information Retrieval Systems
• Decision Support and Expert Systems
• Data Security and Privacy Issues
• Knowledge Management
• Knowledge Representation and Acquisition
• Information Systems
• Knowledge and Information Extraction and Discovery Techniques
• Knowledge Classification Tools
• Knowledge Extraction from Images
• Big Data
• Ontology: Engineering, Sharing and Reuse, Matching and Alignment
• Agent-based Techniques and Systems
• E-learning, E-Commerce and E-governance
• Data and Knowledge Fusion
• Distributed system and Web Application
• Mobile and Embedded Systems
• Ethics and Copyright Laws
• Interoperability Issues