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The expertise group on Databases (DB) studies the design, implementation and analysis of Web-based information systems and applications. This includes a study of basic supporting technologies such as storage, indexing and querying of semi-structured data (often represented as xml or rdf), user modeling and adaptive hypermedia, to create automatically personalized web experiences, web analytics, data mining and interactive visualization of data extracted from web usage. Some successes from recent years include Adaptive Hypermedia Application Model (AHAM), later followed by the Generic Adaptation Framework (GAF) and the Adaptive Hypermedia Architecture (AHA!) followed by the Generic Adaptation Language and Engine (GALE). Adaptive Web-based systems have been applied in different application areas including e-learning, e-business, e-culture and e-entertainment. Some noteworthy projects were the NWO CATCH project CHIP on Cultural Heritage Information Presentation and Personalization (a collaboration with the Telematics Institute and the Rijksmuseum), the ITEA Passepartous project on innovations in television and the GRAPPLE EU FP7 project on the integration of adaptive learning environments with learning management systems. Our most noteworthy recent industrial collaboration is with the company Adversitement BV with which we study Web Analytics and the optimization of web experiences by analyzing web log data. Other recent activities include studying Learning Analytics through educational data mining and learning dashboards, and indexing and querying over big data. The WE group is at the core of the new Data Science initiative of the TU/e. The DB group is headed by dr. George Fletcher.

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