Natalia Manola

Learn More
Storytelling is a new way to guide museum visitors, where the traditional set of exhibit-centric descriptions is replaced by story-centric cohesive narrations with carefully-designed references to the exhibits. Personalized storytelling customizes the narrations according to different user characteristics, either statically or dynamically during the visit.(More)
PAROS is a generic system under design whose goal is to offer personalization, recommendation, and other adaptation services to information providing systems. In its heart lies a rich user model able to capture several diverse aspects of user behavior, interests, preferences, and other attitudes. The user model is instantiated with profiles of users, which(More)
Digital Library (DL) interoperability requires addressing a variety of issues associated with functionality. We report on the analysis and solutions identified by the Functionality Working Group of the project during its deliberations on DL interoperability. Ultimately, we hope that work based on our perspective will lead to improved architectures(More)
The modeling of user characteristics is an important mechanism for the support and enhancement of personalization in Digital Libraries (DLs). Contextual information is sometimes considered in the literature as part of the user model, although it in fact influences user-DL interaction. However, context modeling and user modeling are strongly interrelated.(More)
The constant interaction of users with different Digital Libraries (DLs) and the subsequent scattering of user information across them raise the need not only for Digital Library interoperability but also for cross-Digital Library personalization. The latter calls for sharing and combining of user-information across different DL systems so that a DL system(More)
The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable data processing workflows whose nodes offer application-specific processing capabilities. The IIF is designed for the purpose of processing big data, and it is implemented on top of Apache(More)