Search results

the users as source of content and intelligence, ask for a unifying view of data, services and users. Query, search and retrieval of structured and unstructured

million queries * Sampled over one month * Queries from the US site (mostly English) Per query attributes included: 1. Session ID 2. Time-stamp 3. Query string

Indexing and Search, In-memory Data Management, Hardware Accelerators, Query Processing and Optimization, Storage Management. Privacy and Security in

Performance evaluation Photometric stereo Pose estimation Predictive models Query processing Range image Reconstruction techniques Search problems Segmentation

link discovery, etc., is required to deal with the challenge’s tasks. We ask challengers to automatically annotate a set of multi-format input documents

Description of Deep Web Sources Contents * Description of Deep Web Sources Querying Capabilities * Addressing Content and Data in Deep Web Sources * Semantic

temporal, and spatio-temporal information; * Spatio-temporal data mining query languages; * Sequential spatial, temporal and spatio-temporal data mining;

Metadata and ontology integration, Metadata extraction and navigation, querying and editing of ontologies Learning Objects management Search engines, Localization

and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) Users and

facts), new kinds of operations (e.g. mapping, merging, transformation, querying and reasoning) and probably new kinds of user interactions and visualizations

Data: models for data in the Cloud, programming languages for big data, query processing; Dynamics of Information: models of transactions, concurrency

Metadata and ontology integration, Metadata extraction and navigation, querying and editing of ontologies Learning Objects management Search engines, Localization