Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2018

Santos Tiago, Walk Simon, Kern Roman, Strohmaier M., Helic Denis

Activity in Questions & Answers Websites

ACM Transactions on Social Computing, 2018

Journal
Millions of users on the Internet discuss a variety of topics on Question and Answer (Q&A) instances. However, not all instances and topics receive the same amount of attention, as some thrive and achieve self-sustaining levels of activity while others fail to attract users and either never grow beyond being a small niche community or become inactive. Hence, it is imperative to not only better understand but also to distill deciding factors and rules that define and govern sustainable Q&A instances. We aim to empower community managers with quantitative methods for them to better understand, control and foster their communities, and thus contribute to making the Web a more efficient place to exchange information. To that end, we extract, model and cluster user activity-based time series from 50 randomly selected Q&A instances from the StackExchange network to characterize user behavior. We find four distinct types of user activity temporal patterns, which vary primarily according to the users' activity frequency. Finally, by breaking down total activity in our 50 Q&A instances by the previously identified user activity profiles, we classify those 50 Q&A instances into three different activity profiles. Our categorization of Q&A instances aligns with the stage of development and maturity of the underlying communities, which can potentially help operators of such instances not only to quantitatively assess status and progress, but also allow them to optimize community building efforts
2016

Yusuke Fukazawa, Kröll Mark, Strohmaier M., Ota Jun

IR based Task-Model Learning: Automating the hierarchical structuring of tasks

Web Intelligence, IOS Press, IOS Press, 2016

Journal
Task-models concretize general requests to support users in real-world scenarios. In this paper, we present an IR based algorithm (IRTML) to automate the construction of hierarchically structured task-models. In contrast to other approaches, our algorithm is capable of assigning general tasks closer to the top and specific tasks closer to the bottom. Connections between tasks are established by extending Turney’s PMI-IR measure. To evaluate our algorithm, we manually created a ground truth in the health-care domain consisting of 14 domains. We compared the IRTML algorithm to three state-of-the-art algorithms to generate hierarchical structures, i.e. BiSection K-means, Formal Concept Analysis and Bottom-Up Clustering. Our results show that IRTML achieves a 25.9% taxonomic overlap with the ground truth, a 32.0% improvement over the compared algorithms.
2012

Strohmaier M., Helic Denis, Benz D., Körner C., Kern Roman

Evaluation of Folksonomy Induction Algorithms

In the ACM Transactions on Intelligent Systems and Technology, 3(4), 2012, 2012

Journal
2010

Koerner C., Strohmaier M.

A Call for Social Tagging Datasets

ACM SIGWEB Newsletter, Issue Winter, 2010

Journal
2010

Trattner Christoph, Strohmaier M., Helic Denis

The benefits and limitations of tag clouds as a tool for social navigation from a network-theoretic perspective

Journal of Universal Computer Science, 2010

Journal
2009

Strohmaier M.

Studying Knowledge Transfer with Weblogs in Small and Medium Enterprises: An Exploratory Case Study

Scalable Computing: Practice and Experience - Special Issue: The Web on the Move, 2009

Journal
2009

Strohmaier M.

Hypertext 2009: Hypertext in the wild!

ACM SIGWEB Newsletter, Issue Autumn, 2009

Journal
2007

Rollett H., Lux M., Strohmaier M., Dösinger G.

The Web 2.0 Way of Learning with Technologies

International Journal of Learning Technology, Vol. 3, Issue 1, 2007, Inderscience Publishers, 2007

Journal
While there is a lot of hype around various concepts associated with the term Web 2.0 in industry, little academic research has so far been conducted on the implications of this new approach for the domain of education. Much of what goes by the name of Web 2.0 can, in fact, be regarded as new kinds of learning technologies, and can be utilised as such. This paper explains the background of Web 2.0, investigates the implications for knowledge transfer in general, and then discusses its particular use in eLearning contexts with the help of short scenarios. The main challenge in the future will be to maintain essential Web 2.0 attributes, such as trust, openness, voluntariness and self-organisation, when applying Web 2.0 tools in institutional contexts.
2007

Strohmaier M., Lindstaedt Stefanie

Rapid Knowledge Work Visualization for Organizations

Journal of Knowledge Management, Emerald Group Publishing Limited, 2007

Journal
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.
2005

Lindstaedt Stefanie , Strohmaier M.

Special Issue on 'Knowledge Infrastructures for the Support of Knowledge Intensive Business Processes'

Journal of Universal Knowledge Management, Graz, Austria, 2005

Journal
2005

Strohmaier M.

The B-KIDE Framework and Tool for Business Process Oriented Knowledge Infrastructure Development

Journal of Knowledge and Process Management, John Wiley & Sons, 2005

Journal
2005

Lindstaedt Stefanie , Strohmaier M.

Integrating Business Processes and Knowledge Infrastructures

Journal of Universal Computer Science, 2005

Journal
The integration of available knowledge management technologies, concepts andmethods into organizational business processes is a pressing and challenging researchissue today. Researches and practitioners in the areas of process and knowledgemanagement alike seek for solutions that aid the flexible alignment of knowledgemanagement efforts to an organization’s most value generating activities. Theadvantages inherent in such efforts are manifold: The execution of business processesis supported from a knowledge perspective, the economic benefit of knowledgemanagement can be illustrated more easily and knowledge management activitiesbecome “alive” because of the integration in organizational business processes -which in turn thrives business performance.The special issue “Integrating Business Processes and KnowledgeInfrastructures” makes more detailed versions of the contributions to BPOKI’04available. BPOKI’04 is a special track series on Business Process OrientedKnowledge Infrastructures that took place the first time during I-Know’04, the 4thInternational Conference on Knowledge Management (http://www.iknow.at/BPOKI).The purpose of this special issue is to provide readers with an overview of up-todateresearch on the intersection between business process and knowledgemanagement. Contributions of this special issue consider both, organizational as wellas technological aspects of this topic, and fall in one of the following four categories:1) Business Process Modelling 2) Business Process Learning 3) Business ProcessSupport and 4) Business Process Execution.
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