Zimmermann Volker, Fredrich Helge, Grohmann Guido, Hauer Dominik, Sprenger Peter, Leyking Katrina, Martin Gunnar, Loos Peter, Naeve Ambjörn, Karapidis Alexander, Pack Jochen, Lindstaedt Stefanie , Chatti Mohamed Amine, Klamma Ralf, Jarke Matthias, Lefere Paul
2007
Given the importance of an organisation’s human capital to business success, aligning training and competencydevelopment with business needs is a key challenge. Many companies did initiate in the pastknowledge management activities or founded corporate universities as the organization intended to helpcompanies to face this challenge. In this deliverable, we talk about knowledge work and learning managementas a concept to “increase business performance” through a better short- and long-term learningapproach for people at management level. The aim is to provide a guideline for corporate users based onour and others' experiences of implementing solutions for knowledge work and learning. This is connectedto many forms and methods of learning: formal learning processes, informal learning, team learning,collaboration, social networking, community building etc. In many companies, managers think thatknowledge work can be supported solely by offering courses and enabling to access content on demand.In this deliverable this aspect (ACQUIRING knowledge) will not be in focus as it is more the job of atraining department to manage courses and catalogues. Instead we focus on APPLYING knowledge. Theconcept of knowledge work management comes into place, when companies see the ability of their employeesto APPLY their education and knowledge as a strategic instrument to create competitiveness andlook for tools to provide learning and knowledge at workplace on demand and fitting to the individualneeds. And this objective is very actual as the globalization creates pressure on companies and theknowledge and experience of the employees gets the most important differentiator to competitors – leadingto better innovation, faster processes, higher productivity and lower costs. In this deliverable, anoverall approach and guideline for companies will be provided on how to implement knowledge workmanagement and provide learning according to the needs in business and resulting from business processes.
Scheir Peter, Granitzer Michael, Lindstaedt Stefanie
2007
Evaluation of information retrieval systems is a critical aspect of information retrieval research. New retrieval paradigms, as retrieval in the Semantic Web, present an additional challenge for system evaluation as no off-the-shelf test corpora for evaluation exist. This paper describes the approach taken to evaluate an information retrieval system built for the Semantic Desktop and demonstrates how standard measures from information retrieval research are employed for evaluation.
Strohmaier M., Lindstaedt Stefanie
2007
Purpose: The purpose of this contribution is to motivate a new, rapid approachto modeling knowledge work in organizational settings and to introducea software tool that demonstrates the viability of the envisioned concept.Approach: Based on existing modeling structures, the KnowFlowr Toolsetthat aids knowledge analysts in rapidly conducting interviews and in conductingmulti-perspective analysis of organizational knowledge work is introduced.Findings: It is demonstrated how rapid knowledge work visualization can beconducted largely without human modelers by developing an interview structurethat allows for self-service interviews. Two application scenarios illustrate thepressing need for and the potentials of rapid knowledge work visualizations inorganizational settings.Research Implications: The efforts necessary for traditional modeling approachesin the area of knowledge management are often prohibitive. Thiscontribution argues that future research needs to take economical constraintsof organizational settings into account in order to be able to realize the fullpotential of knowledge work management.Practical Implications: This work picks up a problem identified in practiceand proposes the novel concept of rapid knowledge work visualization for makingknowledge work modeling in organizations more feasible.Value: This work develops a vision of rapid knowledge work visualization andintroduces a tool-supported approach that addresses some of the identified challenges.
Kröll Mark, Rath Andreas S., Weber Nicolas, Lindstaedt Stefanie , Granitzer Michael
2007
Knowledge-intensive work plays an increasingly important role in organisations of all types. Knowledge workers contribute their effort to achieve a common purpose; they are part of (business) processes. Workflow Management Systems support them during their daily work, featuring guidance and providing intelligent resource delivery. However, the emergence of richly structured, heterogeneous datasets requires a reassessment of existing mining techniques which do not take possible relations between individual instances into account. Neglecting these relations might lead to inappropriate conclusions about the data. In order to uphold the support quality of knowledge workers, the application of mining methods, that consider structure information rather than content information, is necessary. In the scope of the research project DYONIPOS, user interaction patterns, e.g., relations between users, resources and tasks, are mapped in the form of graphs. We utilize graph kernels to exploit structural information and apply Support Vector Machines to classify task instances to task models
Rath Andreas S., Kröll Mark, Lindstaedt Stefanie , Granitzer Michael
2007
Knowledge intensive organizations demand a rethinking of business process awareness. Their employees are knowledge workers, who are performing their tasks in a weakly structured way. Stiff organizational processes have to be relaxed, adopted and flexibilized to be able to provide the essential freedom requested by knowledge workers. For effectively and efficiently supporting this type of creative worker the hidden patterns, i.e. how they reach their goals, have to be discovered. This paper focuses on perceiving the knowledge workers work habits in an automatic way for bringing their work patterns to the surface. Capturing low level operating system events, observing user interactions on a fine granular level and doing in deep application inspection, give the opportunity to interrelate the received data. In the scope of the research project DYONIPOS these interrelation abilities are utilized to semantically relate and enrich this captured data to picture the actual task of a knowledge worker. Once the goal of a knowledge worker is clear, intelligent information delivery can be applied