Conference Themes

CIKM 2008 topics are in the broad areas of Databases, Information Retrieval, and Knowledge Management. CIKM 2008 also includes an Industry track. Each area is organized into tracks:

Information Retrieval:

• Citation Analysis, Social Networks for IR
• Domain-specific IR (e.g., Legal IR, Genome, Mobile IR, IR for chemical structures)
• Filtering (e.g., Routing, Collaborative filtering, Topic tracking, Recommender systems)
• Foundation of Information Retrieval (e.g., theory, ranking)
• IR Architectures, Scalability and Efficiency
• IR Evaluation
• Language Specific IR (Multi-lingual, Cross-lingual, NLP, Question and Answer)
• Machine Learning for IR
• Multimedia IR (Audio, Speech, Video, Image)
• Semi-Structured Information Retrieval
• Distributed IR, Peer to Peer Search
• User Modeling for IR, Search Personalization
• Web Search, Advertising, Adversarial
• Other topics related to IR (Privacy, Spam, Feature Engineering, et. al.)

Databases:

• Access methods and indexing
• Authorization, data privacy and security
• Concurrency control and recovery
• Data adaptability, reusability and quality
• Database languages and models
• Information integration, data provenance, probabilistic databases
• Mobile databases and distributed data management
• Peer-to-peer, parallel and distributed databases
• Query processing, optimization and performance
• Real-time and active databases
• Scientific and biological databases
• Semantic Web
• Semi-structured data processing, XML filtering and routing
• Stream-based processing and network databases
• String Databases, Blogs and Social Search
• Systems, middleware, applications and experiences
• Temporal, spatial and multimedia databases
• User experience: languages, models, interfaces

Knowledge Management:

• Advertising and Optimization
• Classification and Clustering
• Data pre- and post-Processing
• Information Extraction
• Information Filtering and Recommender Systems
• Knowledge Synthesis and Visualization
• Large-scale statistical techniques
• Link and Graph Mining
• Semantic Techniques
• Temporal and Spatial data Mining
• Text Mining

Industry Track:

• Industrial Practice and Experience
• Technology for Developing Regions