The current work addresses the unification of Electronic Health Records related to cervical cancer into a single medical knowledge source, in the context of the EU-funded ASSIST research project. The project aims to facilitate the research for cervical precancer and cancer through a system that virtually unifies multiple patient record repositories, physically located in different medical centers/hospitals, thus, increasing flexibility by allowing the formation of study groups “on demand” and by recycling patient records in new studies. To this end, ASSIST uses semantic technologies to translate all medical entities (such as patient examination results, history, habits, genetic profile) and represent them in a common form, encoded in the ASSIST Cervical Cancer Ontology. The current paper presents the knowledge elicitation approach followed, towards the definition and representation of the disease’s medical concepts and rules that constitute the basis for the ASSIST Cervical Cancer Ontology. The proposed approach constitutes a paradigm for semantic integration of heterogeneous clinical data that may be applicable to other biomedical application domains.

Audiovisual group communication systems deal with a large number of video streams, and, unlike less advanced videoconferencing systems, require intelligence for selecting adequate views for each of the connected rooms, in order to convey best what is happening in the other locations. Such a decision making component, in our implementation called Orchestration Engine (OE), acts as a Virtual Director. It processes lowlevel events, emitted by content analysis sensors, into editing commands. The OE has two main components: one that semantically lifts low-level events into communication events and one that associates editing decisions to communication contexts. The former has to deal with uncertain and delayed information. The latter subsumes knowledge that reflects both conversation and narrative principles. Both components include contradicting bodies of knowledge. We investigate a rule-based event processing approach and reflect the scalability of our solution regarding competing and contradicting rules.Index Termsvirtual director, semantic abstraction, decision making, rule-based behavior, videoconferencing 2012 IEEE International Conference on Multimedia and Expo Workshops 978-0-7695-4729-9/12 $26.00

In this paper we present an approach to the reasoning required to support multi-location, multi-camera group-to-group video communication, which we call orchestration. Orchestration is akin to virtual directing: it has to ensure that each location displays the most adequate shots from all the other available sources. Its input is low-level cues extracted automatically from the AV streams. They are processed to detect higher-level events that determine the state of the communication. Directorial decisions are then inferred, reflecting social communication as well as stylistic criteria. Finally, they are transformed into camera and editing commands, directly executable by the AV infrastructure. Here, we present the architecture of the Orchestrator and sketch our rule-based approach to reasoning.

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Unlike legacy video-conferencing, which connects two nodes each equipped with a camera, recent systems facilitating for video-mediated group communication deal simultaneously with a large number of video streams. This highlights the need for orchestration, i.e. the intelligent selection of the most adequate camera views to be displayed on each screen. In this paper we present the initial results of a study that evaluates the effects of orchestration on communication within a specific context; that of two remote groups playing a collaborative board game. The results of the experiment indicate that automatic orchestration can provide improvements similar to the ones achieved when live video mixing is performed by human editors.