IKE 2018 - The 17th Int'l Conf on Information & Knowledge Engineering

Topics of interest include, but are not limited to, the following:
Information Retrieval Systems
Knowledge Management and Cyber-Learning
Database Engineering and Systems
Data and Knowledge Processing
Databanks: Issues, Methods, and Standards
Data Warehousing and Datacenters
Health Information Systems
Data Security and Privacy Issues
Information Reliability and Security
Information and Knowledge Structures
Knowledge Life Cycle
Knowledge and Information Extraction and Discovery Techniques
Knowledge Classification Tools
Knowledge and Information Management Techniques
Knowledge Extraction from Images
Knowledge Representation and Acquisition
Knowledge Re-engineering
Large-scale Information Processing Methods
Intelligent Knowledge-based Systems
Re-usability of Software/Knowledge/Information
Formal and Visual Specification Languages
Decision Support and Expert Systems
e-Libraries (Digital Libraries) + e-Publishing
Ontology: Engineering, Sharing and Reuse, Matching and Alignment
Digital Typography
Agent-based Techniques and Systems
Workflow Management
Business Intelligence
Large-scale Information Processing Methods and Systems
Content Management
Data and Knowledge Fusion
Dataweb Models and Systems
Global Contextual Processing and Management Implementation
Data/Information/Knowledge Models
Managing Copyright Laws
Interoperability Issues
Transaction Systems
Search Methods
Ontologies and Semantics
Object-oriented Modeling and Systems
Case-based Reasoning
Digital Watermarking
Classical Aspects of Information Theory
Coding Theory
Quantum Information Theory
Applications (e-Commerce, Multimedia, Business, Banking, ...)
Emerging Technologies and Related Issues
Natural Language Processing
Information Integration
Multi-cultural Information Systems
Domain Analysis and Modeling
Metamodelling
Education and Training Issues
Knowledge Mining
Information and Knowledge Engineering in the Context of Big Data:
- Massively Parallel Processing (MPP) Databases
- Information Mining Grids
- Distributed Databases
- Cluster Analysis
- Crowdsourcing
- Data Fusion and Integration
- Neural Networks
- Pattern Recognition
- Data Anomaly Detection
- Supervised and Unsupervised Learning
- Time Series Analysis and Visualisation
- Search-based Applications