Knowledge Management [31] is a social activity. More and more organizations use social software as a tool to bridge the gap between technology- and human-oriented KM. In order to create interoperable, transferable solutions, it is necessary to utilize standards. In this paper, we analyze which standards can be applied and which gaps currently exist. We present the concept of knowledge bundles, capturing information on knowledge objects, activities and people as a prerequisite for social-focused KM. Based on our concept and examples, we derive the strong need for standardization in this domain. As a manifesto this paper tries to stimulate discussion and initiating a broad initiative working towards a common standard for the next generation of knowledge management systems. Our manifesto provides with eight recommendations how the KM community should act to address future challenges.

This paper discusses the work in progress of the ”Migraine Radar” project. The purpose of the project is to validate or disprove the assumed correlation between migraine attacks and weather conditions, especially weather changes. There have been various medical studies on this topic, but the correlation could not be proved with sufficient statistical significance so far. Furthermore, the results of some of the studies are contradictory. For this study, data from the microblogging platform Twitter will be analyzed. Twitter messages (”tweets”) announcing currently or recently happened migraine attacks are retrieved using the Twitter API (Search-API, REST-API - Standard APIs provided by Twitter to retrieve tweet and user data). Weather data from weather information services are linked to the tweets, using the location information from Twitter. For the German language area, the results will be compared with the results obtained from a set of migraine announcements collected with the help of a web form in the same period of time. First statistics indicate that the number of migraine attacks announced in Twitter exceeds the number of cases in former classical studies by far. The project offers a wide range of possibilities to analyze Twitter messages with regard to migraine attacks. Beside the main purpose, it is also possible to analyze the distribution of migraine attacks over the weekdays or over the seasons. Furthermore an investigation of the spatial distribution of migraine attacks is possible. Instead of weather data, other information can be linked to the migraine sample as well. One example could be air pollution data.

This paper is proposing a list of knowledge management instruments based on a thorough literature review considering English and German sources, a strict definition for km instruments and a new categorization scheme that allows identifying potential duplicates or missing pieces.

Even though there is abundant literature on successful cases of organizations applying knowledge management (KM) measures, many KM initiatives have failed to achieve their knowledge and business goals. In order to foster decisions about the design of such initiatives, information is required on success factors and barriers when selecting KM measures. Multi agent-based simulation (MABS) is suggested as instrument to investigate potential effects of KM measures on dependent variables such as sharing of knowledge in organizations or business performance. For such a simulation, the concept of knowledge sharing, influencing factors and their impact on business and knowledge goals is operationalized in a model based on an extensive multi-disciplinary literature survey. The model is implemented in a MABS tool used for a series of experiments contrasting results with/without KM measures. Skill management is found highly sensitive with respect to conditions of application and has no significant impact on knowledge or business goals. Experience management positively impacts knowledge and business goals. Personal documentation leads to specialist, project debriefings to generalist knowledge workers. Finally, the paper discusses the simulation’s limitations and further areas of application. http://www.springerlink.com/content/nq25053178121633/

Der vorliegende Beitrag berichtet von den Erfahrungen des Autors in der Verwendung des Wissensreifungsmodells bei der technisch geprägten Wissensmanagement-Beratung, um Vorhaben zu strukturieren, Schwerpunkte zu setzen, Lücken in der technischen Unterstützung der Wissensarbeit zu identifizieren und technische Unterstützung für einzelne Reifungsphasen zu empfehlen. Die Erfahrungen beziehen sich dabei auf die Akzeptanz und Verständlichkeit des Modells selbst, sowie auf die Eignung als Analyserahmen für die Anforderungsanalyse. Insgesamt wurde das Modell sehr gut angenommen und hat sich aufgrund seiner Flexibilität in vielen Fällen bewährt. Es wurde jedoch nicht als selbsterklärend und intuitiv verständlich empfunden.

Access to structured information in DBMS which is usually done using Business Intelligence tools and access to unstructured information in document and content management systems is going to be unified. First steps are already done and more to come soon.