Papers that bridge across these areas are of special interest and will be considered for a “Best Interdisciplinary Paper” award. Topics of interest in the three areas include, but are not limited to:
Databases
Access methods and indexing
Authorization, data privacy and security
Concurrency control and recovery
Data quality, provenance, adaptability and reusability
Data exchange, integration, evolution and migration
Database languages and models (e.g., fuzzy data, probabilistic databases, meta-data management)
Domain-specific databases (multi-media, scientific, spatial, temporal, text)
Dynamic aspects of databases (updates, views, real-time data, sensor data, active databases, data streams)
Mobile, parallel and distributed data management (including cloud computing)
Novel/advanced applications
Query processing, optimization and performance
Semantic Web and ontologies
Semi-structured data processing, XML filtering and routing
String databases, blogs and social search
Systems, platforms, middleware and experiences
Workflow, Web services and Web Service Composition
Information Retrieval
Aggregated search, Enterprise search, Desktop search
Personalised and collaborative search
Cross-language retrieval, Multilingual retrieval, Machine translation for IR
Distributed IR, Peer to peer IR
Domain-specific IR: genomic, legal, mobile, patents, …
Evaluation, Test collections, Crowdsourcing for IR evaluation
Foundations of IR: Theory, Formal models
HCIR, User Interfaces, Interactive IR, User models, User studies
Language technologies for IR (NLP, IE, Summarization, QA, …)
Machine Learning for IR
Multimedia IR: audio, speech, image, video, and cross-media
Semi-structured information retrieval, Semantic search
System Architectures, Scalability and Efficiency
Web IR and Social media search
Other topics related to IR (Adversarial IR, Advertising, Privacy, Text Mining, etc.)
Knowledge Management
Advertising and optimization
Classification and clustering
Data pre- and post-processing
Domain-specific and cross-domain knowledge management
Evaluation measures, methods and frameworks
Information Extraction
Information Filtering and Recommender Systems
Knowledge and privacy (e.g., privacy-preserving data publishing and mining)
Knowledge synthesis and visualization
Large-scale statistical techniques
Link and graph Mining
Mining the usage, consumption and production of resources
Semantic techniques
Temporal, Spatial and Ubiquitous Data Mining
Text Mining
Web and Social Knowledge Management
Industry Research Track
Industrial Practice and Experience
Technology for Developing Regions
Industry authors are invited to submit papers describing solutions in the domains addressed by this conference, focusing on the technical aspects of their work. The submission procedure for industrial papers is the same as for research papers.