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Introduction

International Conference on Information and Knowledge Management is a major annual academic event in  Information and Knowledge Management. ICIKM 2016 will be held in Beijing, China during July 22-24, 2016! To provide an effective platform for delegates from different areas to exchange new ideas, applications and experiences face to face, to establish business or research relations, and to find global partners for future collaboration.The previous 4 ICIKM conferences were held successfully in Kuala Lumpur, Chengdu, Bangkok, and Shanghai respectively;  With no doubt, Beijing will witness its 5th success in 2016!

Call for paper

Important date

2016-03-20
Final paper submission deadline

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
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Important Date
  • Conference Date

    Jul 22

    2016

    to

    Jul 24

    2016

  • Mar 20 2016

    Final Paper Deadline

  • Jul 24 2016

    Registration deadline