Topics of interest include, but are not limited to, the following areas:

• Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy)

• Data and information modelling, storage, compression and indexing

• Data understanding (e.g., natural language processing, speech recognition, computer vision)

• Data integration and aggregation (e.g., semantic processing, data provenance, data warehousing, privacy and security)

• Unstructured data management (e.g., search engines, retrieval models, query processing, personalization, recommender systems)

• Data analysis (e.g., OLAP, data mining, machine learning, visualization, scalable analysis algorithms)

• Big data infrastructure (e.g., cloud computing, data intensive computing, database systems, search engine systems)

• Crowd sourcing and exploitation of online resources

• Special data processing (e.g., multilingual text data, stream data, spatiotemporal data, multimedia data, scientific data, social media data)

• Big data user interfaces (e.g., user behavior analysis, visualization, user interface design, personalization, interactive analysis, mobile computing)

• Big data applications (e.g., biomedical and health informatics, security, business intelligence, computational social science, data-enabled discovery, social media)