International Conference on Information Retrieval and Knowledge (ICIRKM 2014)

International Conference on Information Retrieval and Knowledge (ICIRKM 2014) is focused on all aspects of Information Retrieval and Knowledge Management, including:

• Databases
  • Authorization, privacy and security
  • Access methods and indexing
  • Database languages and models
  • Concurrency control and recovery
  • Peer to peer, parallel and distributed databases
  • Mobile databases and ubiquitous data management
  • Real-time and active database
  • Query processing, optimization and performance
  • Semi-structured data and XML databases
  • Scientific and biological databases
  • Temporal, spatial and multimedia databases
  • Stream-based processing and sensor databases
• Data Management
  • Data exchange and integration
  • Benchmarking and performance evaluation
  • Database monitoring and tuning
  • Data quality, cleaning and lineage
  • Data warehousing and mining
  • Data privacy and security
  • Managing uncertain, imprecise and inconsistent information
  • Embedded, sensor, mobile databases and applications
  • Multilingual data management
  • Metadata management
  • Novel Data Types
  • Multimedia data management and mining
  • Peer-to-peer data management
  • Parallel and distributed databases
  • Query processing and optimization
  • Personalized information systems
  • Text search and database querying
  • Replication, caching, and publish-subscribe systems
  • Social Networks
  • Semi-structured data
  • Web services
  • Storage and transaction management
• Knowledge Management
  • Data/information extraction and integration
  • Classification and clustering
  • Explanation and Knowledge Provenance
  • Data mining applications
  • Knowledge management and synthesis
  • Frequent itemsets and sequential pattern mining
  • Mining and representing data streams, web content, structure and usage data
  • Link analysis and community discovery
  • Mining and representing text and semi-structured data
  • Mining and representing temporal and spatial data
  • Novel data mining algorithms
  • Mining and representing reviews, blogs & discussions
  • Security and privacy issues
  • Pre-processing, post-processing and visual data mining
  • Semantic Integration
• Information Retrieval
  • Digital libraries
  • Cross-language and multi-lingual information retrieval
  • Document summarization and question answering
  • Document and query representation
  • Hypertext and hypermedia management
  • Document tracking, routing, and filtering
  • Information retrieval evaluation, metrics
  • Information retrieval applications
  • Information visualization and exploration
  • Information retrieval models and theory
  • Interoperability and integration
  • Interactive retrieval, user models and studies
  • Multi-media and content-based information retrieval, music retrieval
  • Metadata extraction and generation
  • Personalization and personal information management
  • Performance issues in information retrieval
  • Test collections, experimental design
  • Question answering
  • Web and distributed information retrieval
  • Text classification and clustering, machine learning

Who should Attend

Eading academic scientists, researchers and scholars