Data Management

1. Evaluation
2. Web services
3. Social Networks
4. Novel Data Types
5. Semi-structured data
6. Metadata management
7. Multilingual data management
8. Text search and database querying    
9. Data privacy and security
10. Data exchange and integration
11. Data warehousing and mining
12. Benchmarking and performance
13. Database monitoring and tuning
14. Data quality, cleaning and lineage
15. Storage and transaction management
16. Embedded, sensor, mobile databases
17. Parallel and distributed databases
18. Peer-to-peer data management
19. Personalized information systems
20. Query processing and optimization
21. Multimedia data management and mining
22. Replication, caching, and publish-subscribe systems
23. Managing uncertain, imprecise and inconsistent information

Databases

1. Access methods and indexing
2. Real-time and active database
3. Authorization, privacy and security
4. Concurrency control and recovery
5. Database languages and models
6. Scientific and biological databases
7. Semi-structured data and XML databases
8. Temporal, spatial and multimedia databases
9. Peer to peer, parallel and distributed databases
10. Query processing, optimization and performance
11. Stream-based processing and sensor databases
12. Mobile databases and ubiquitous data management

Information Retrieval

1. Digital libraries
2. Question answering
3. Information Retrieval
4. Interoperability and integration
5. Information retrieval applications
6. Cross-language and multi-lingual 
7. Document and query representation    
8. Metadata extraction and generation
9. Document tracking, routing, and filtering
10. Hypertext and hypermedia management
11. Information retrieval evaluation, metrics
12. Information retrieval models and theory
13. Test collections, experimental design
14. Information visualization and exploration    
15. Web and distributed information retrieval
16. Performance issues in information retrieval
17. Interactive retrieval, user models and studies
18. Document summarization and question answering
19. Text classification and clustering, machine learning
20. Personalization and personal information management
21. Multi-media and content-based information retrieval, music retrieval

Knowledge Management

1. Dimensions
2. Innovation Methods
3. Semantic Integration
4. Assessment Methods
5. Learning Technologies
6. Security and privacy issues
7. Data mining applications
8. Classification and clustering
9. Optimization of Organisations
10. Novel data mining algorithms
11. Case Studies on Collaboration
12. Social Networks and Psychological
13. Tools for Knowledge Management
14. Data Mining (store/discover/propagate)
15. Technologies for Knowledge Sharing
16. Link analysis and community discovery
17. Knowledge management and synthesis
18. Explanation and Knowledge Provenance
19. Knowledge Management Processes
20. Data/information extraction and integration
21. Management and Measurement of Intangibles
22. Frequent itemsets and sequential pattern mining
23. Mining and representing temporal and spatial data
24. Mining and representing text and semi-structured data
25. Mining and representing reviews, blogs & discussions
26. Pre-processing, post-processing and visual data mining
27. Mining and representing data streams, web content, structure and usage data