The main objective of POWER2DM is to develop and validate a personalized self-management support system (SMSS) for T1 and T2 diabetes patients that combines and integrates i) a decision support system (DSS) based on leading European predictive personalized models for diabetes interlinked with predictive computer models, ii) automated e-coaching functionalities based on Behavioral Change Theories, and iii) real-time Personal Data processing and interpretation. The SMSS offers a guided workflow based on treatment goals and activities where a periodic review evaluates the patients progress and provides detailed feedback on how to improve towards a healthier, diabetes appropriate lifestyle.
A successful B2B marketplace must ensure that suppliers and producers in a supply chain can find each other, communicate and negotiate in an effective way, while performing business processes. To this, we present an approach that involves two core ontology modules, e.g., the Catalogue Ontology and the Business Process Ontology, which can be extended by adding specific domain ontologies. For the representation of certain business aspects, the Catalogue Ontology exploits the Universal Business Language (UBL), while for the description of product characteristics related to different domains, this ontology makes use of the relevant industrial standards (e.g., the furniture ontology is based on the FunStep ISO 10303-236 standard and the eClass ontology is based on eCl@ss standard). The Business Process Ontology encompasses machine readable vocabularies for the semantic description of business processes and could be extended by adding new ontologies or data schemas. Finally, we validated the design and functionality of the ontology framework by defining and performing a set of queries related to product and services retrieval.
Abstract. This paper gives an overview of the semantic aspects of an advanced, semantics-based broadcasting production support system designed to enable the creation of interactive multi-channel television shows. The "Intelligent Media Framework" forms the middleware of this system and was developed in the context of the European integrated project LIVE. The envisaged "intelligence" is based on formal, machine understandable descriptions of the content and the events. We demonstrate the successful usage of the system by a broadcasting corporation in a field trial with several hundred end consumers, conducted during the Olympic Games in Beijing, August 2008.
This article presents the Linked Media Framework (LMF), a platform for integrating and interlinking structured data and media content in enterprises and on the Web. The Linked Media Framework is based on the Linked Data principles, but extends these on two important aspects: resourcecentric updating and uniform management of resource content and metadata. Both aspects are important for enterprise information integration but not implemented by current Linked Data servers. In addition, the LMF offers the query language LD Path, a path-based language that allows intuitive resource-centric querying and traversal over distributed Linked Data resources and is thus more suitable for querying Linked Data than SPARQL. Finally, we describe two real-world scenarios where the LMF is already used or will be used for interlinking and semantic search: interlinking of multimedia fragments at the Red Bull Content Pool, and interlinking of news archive material at the Austrian Television.
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