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.