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Depression and anxiety are of the most commonly occurring mental health disorders in the United States. Despite a variety of efficacious interventions for depression and anxiety, it is clear that ethnic minorities experience mental health care disparities in their access to mental health services and the quality of treatment they receive. Research indicates(More)
The transfer of the mashup paradigm in corporate environments needs additional capabilities beyond those typically associated with consumer mashups. In this paper, we present the architecture of the FAST platform which allows creating enterprise-class and multi-channel visual building blocks (so called gadgets) in an ad-hoc manner. The design of complex(More)
Today's personal devices provide a stream of information which, if processed adequately, can provide a better insight into their owner's current activities, environment, location, etc. In treating these devices as part of a personal sensor network, we exploit raw and interpreted context information in order to enable the automatic recognition of personal(More)
Taking into consideration the steady shift towards information digitisation, an increasing number of approaches are targeting the unification of the user's digital " Personal Information Sphere " to increase user awareness, provide single-point management, and enable context-driven recommendation. The Personal Information Sphere refers to both conventional(More)
Users are currently required to create and separately manage duplicated personal data in heterogeneous online accounts. Our approach targets the crawling, retrieval and integration of this data, based on a comprehensive ontol-ogy framework which serves as a standard format. The motivation for this integration is to enable single point management of the(More)
Instance matching targets the extraction, integration and matching of instances referring to the same real-world entity. In this paper we present a weighted ontology-based user profile resolution technique which targets the discovery of multiple online profiles that refer to the same person identity. The elaborate technique takes into account profile(More)
Nowadays, smart devices perceive a large amount of information from device sensors, usage, and other sources which contribute to defining the user's context and situations. The main problem is that although the data is available, it is not processed to help the user deal with this information easily. Our approach is based on the assumption that, given that(More)
The increase in use of smart devices nowadays provides us with a lot of personal data and context information. In this paper we describe an approach which allows users to define and register rules based on their personal data activities in an event processor, which continuously listens to perceived context data and triggers any satisfied rules. We describe(More)