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The purpose of this paper is to introduce and define Cognitive Big Data as a concept. Furthermore, it investigates what is really “new” in Big Data, as it seems to be a hyped-up concept that has emerged during recent years. The purpose is also to broaden the discussion around Big Data far beyond the common 4V (velocity, volume, veracity and variety) model.

The authors established an expert think tank to discuss the notion of Big Data, identify new characteristics and re-think what really is new in the idea of Big Data, by analyzing over 60 literature resources. They identified typical baseline scenarios (traffic, business processes, retail, health and social media) as a starting point from which they explored the notion of Big Data from different perspectives.

They concluded that the idea of Big Data is simply not new and recognized the need to re-think a new approach toward Big Data. The authors also introduced a five-Trait Framework for “Cognitive Big Data”, socio-technical system, data space, data richness, knowledge management (KM)/decision-making and visualization/sensory presentation.

The viewpoint is centered on cognitive processes as KM process.

Data need to be made available in an understandable form for the right application context and in the right portion size that it can be turned into knowledge and eventually wisdom. The authors need to know about data that can be ignored, data that they are not aware of (dark data) and data that can be fully utilized for analysis (light data). In the foreground is the extension of human mental capabilities and data understandability.

Cognitive Big Data implies a socio-technological knowledge system.

Introduction of cognitive Big Data as concept and framework.

TV changes in several disciplines concurrently: from analogue to digital, from scheduled broadcasts to on‐demand TV on the internet, from a lean‐back (passive) to a lean‐forward (active) media, from straight watching to the consumption of content connected to additional services, from the sole TV viewer to the viewer being part in social networks and communities regarding to the TV content, etc. The purpose of this paper is to demonstrate the adaptation of design and realization of TV program formats to the changes that happen to television. In addition, the paper would like find out how to support the design of interactions, dynamic narrations and content types as well as the role of the internet within these processes and this application area.

Currently, there exist many approaches towards the development of social, collaborative, and interactive TV program formats and systems. Within the scope of this paper, the authors present latest case studies and example program formats for each case. The paper examines them concerning their interaction possibilities and architecture as well as the influence and utilization of the web. Finally, the paper provides a simple categorization according to the narration character, content, and interactivity types of the listed TV program formats.

Caused by the collaborative and interactive characteristic of the web, a big influence of the web concerning the hardware‐ and content‐sided development of TV is discovered. Nevertheless, the web's potential is absolutely not exploited in this area, neither to give more dynamic to the narration, nor to appreciate the content type or the interactivity. Finally, the paper identifies a high effort, occurrence and development in the interactivity, in contrary to the narration characteristic and content types.

Only one representative, example TV program format enabling interactions by the viewer for each case in the paper, has been chosen. The authors make no claim to be complete, in covering all genres, possibilities of interaction or TV program formats existing for the field of interactive/social/collaborative TV.

This paper presents an extension of a previous paper presented at the MoMM2009.