Wednesday 13:00 -- 14:00 at G22A- 020

Daniel Keim Solving Problems with Visual Analytics: Challenges and Applications”


Never before in history data is generated and collected at such high volumes as it is today. As the volumes of data available to business people, scientists, and the public increase, their effective use becomes more challenging. Keeping up to date with the flood of data, using standard tools for data analysis and exploration, is fraught with difficulty. The field of visual analytics seeks to provide people with better and more effective ways to understand and analyze large datasets, while also enabling them to act upon their findings immediately. Visual analytics integrates the analytic capabilities of the computer and the abilities of the human analyst, allowing novel discoveries and empowering individuals to take control of the analytical process. Visual analytics enables unexpected and hidden insights, which may lead to beneficial and profitable innovation. The talk presents the challenges of visual analytics and exemplifies them with several application examples, which illustrate the exiting potential of current visual analysis techniques but also their limitations.


Thursday 8:30 -- 9:30 at G22A- 020

C. Müller-Schloer "Organic ComputingQuo vadis?"


Organic Computing has emerged almost 10 years ago as a challenging vision for future information processing systems, based on the insight that already in the near future we will be surrounded by large collections of autonomous systems equipped with sensors and actuators to be aware of their environment, to communicate freely, and to organize themselves. The presence of networks of intelligent systems in our environment opens fascinating application areas but, at the same time, bears the problem of their controllability. Hence, we have to construct these systems - which we increasingly depend on - as robust, safe, flexible, and trustworthy as possible. In particular, a strong orientation of these systems towards human needs as opposed to a pure implementation of the technologically possible seems absolutely central. In order to achieve these goals, our technical systems will have to act more independently, flexibly, and autonomously, i.e. they will have to exhibit life-like properties. We call those systems “organic”. Hence, an “Organic Computing System” is a technical system, which adapts dynamically to the current conditions of its environment. It will be self-organizing, self-configuring, self-healing, self-protecting, self-explaining, and context-aware.

First steps towards adaptive and self-organizing computer systems are already being undertaken. Adaptivity, reconfigurability, emergence of new properties, and self-organisation are topics in a variety of research projects. From 2005 until 2011 the German Science Foundation (DFG) has funded a priority research program on Organic Computing. It addresses fundamental challenges in the design of complex computing systems; its objective is a deeper understanding of emergent global behaviour in self-organising systems and the design of specific concepts and tools to support the construction of Organic Computing systems for technical applications. With the upcoming conclusion of the priority program in September 2011, we have to start the discussion about the future of OC: Organic Computing – Quo vadis?

This presentation will briefly recapitulate the research ideas of Organic Computing, explain key concepts, and illustrate these concepts with current technical application projects from the priority program. Before future directions can be discussed we will look at the lessons learnt so far. From this, we will derive important trends in OC, which can serve as guidelines for future research. These trends can be subsumed as (1) Design-time to run-time and (2) Social OC. Finally the talk will raise some mission-critical questions, which we will have to answer in due time if the vision of Organic Computing is to be fulfilled.


Friday 8:30 -- 9:00 at G22A- 020 (Joint Session IR+KDML)

Harald Sack: "SeMEX - Enabling Exploratory Video Search by Semantic Video Analysis"


Today‘s keyword-based search in the World Wide Web (WWW) delivers linear lists of search results ordered by sophisticated ranking functions. The user knows how to use the search engine to achieve the intended results, i.e. the (text-based) documents to be retrieved have to contain the user‘s query term(s). If this procedure is adopted to multimedia data on the Web, there has to be (text-based) metadata describing the content of the multimedia data to enable content-based search, unless we don‘t consider similarity-based retrieval. Most times, this text-based metadata has been provided manually by the author or nowadays also by user communities in social network applications. Automated multimedia analysis procedures are still rather expensive and error prone, if it comes to the deduction of high level (abstract) features of the represented content. On the other hand, if the user doesn‘t really know what document exactly he is looking for or if an overview about a domain has to be achieved that is unknown to the user, the huge amount of search results makes it almost impossible to fulfill this task. Semantic technologies help to arrange and to classify the search results according to their content, to uncover implicit relations among search results and to make them explicit, or to consider associations to achieve content-based recommendations. Thus, traditional search becomes more and more an, exploratory‘ process, where the searcher has the possibility to explore and to browse the dataspace on various pathways according to his personal interests. In this manner, also the way might become the destination.