Michael Föls graduated from the Vienna University of Economics and Business in December 2015 as Master of Science in Information Systems. He also graduated from the University of Vienna as Mag. (phil) in Theatre-, Film-, and Media Studies. More information can be found at my Online CV.
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Arno Scharl, David Herring, Walter Rafelsberger, Alexander Hubmann-Haidvogel, Ruslan Kamolov, Daniel Fischl, Michael Föls, A. Weichselbraun"Semantic Systems and Visual Tools to Support Environmental Communication"2015 in: IEEE Systems Journal. Pages: 1-10
Given the intense attention that environmental topics such as climate change attract in news and social media coverage, scientists and communication professionals want to know how different stakeholders perceive observable threats and policy options, how specific media channels react to new insights, and how journalists present scientific knowledge to the public. This paper investigates the potential of semantic technologies to address these questions. After summarizing methods to extract and disambiguate context information, we present visualization techniques to explore the lexical, geospatial, and relational context of topics and entities referenced in these repositories. The examples stem from the Media Watch on Climate Change, the Climate Resilience Toolkit and the NOAA Media Watch—three applications that aggregate environmental resources from a wide range of online sources. These systems not only show the value of providing comprehensive information to the public, but also have helped to develop a novel communication success metric that goes beyond bipolar assessments of sentiment.
Author(s): Arno Scharl, David Herring, Walter Rafelsberger, Alexander Hubmann-Haidvogel, Ruslan Kamolov, Daniel Fischl, Michael Föls, A. Weichselbraun
Publication date: 8. 9. 2015
Electronic version(s), related files and links: http://dx.doi.org/10.1109/JSYST.2015.2466439
Marta Sabou, A. Scharl, Michael Föls"Crowdsourced Knowledge Acquisition: Towards Hybrid-Genre Workflows"2013 in: International Journal of Semantic Web and Information Systems (IJSWIS), Special Issue on Social Media Dynamics. Volume: 9. Issue number: 3 Pages: 14-41
Novel social media collaboration platforms, such as games with a purpose and mechanised labour marketplaces, are increasingly used for enlisting large populations of non-experts in crowdsourced knowledge acquisition processes. Climate Quiz uses this paradigm for acquiring environmental domain knowledge from non-experts. The game's usage statistics and the quality of the produced data show that Climate Quiz has managed to attract a large number of players but noisy input data and task complexity led to low player engagement and suboptimal task throughput and data quality. To address these limitations, the authors propose embedding the game into a hybrid-genre workflow, which supplements the game with a set of tasks outsourced to micro-workers, thus leveraging the complementary nature of games with a purpose and mechanised labour platforms. Experimental evaluations suggest that such workflows are feasible and have positive effects on the game's enjoyment level and the quality of its output.
Author(s): Marta Sabou, A. Scharl, Michael Föls
Publication date: 7. 2013
Issue number: 3
Marta Sabou, K. Bontcheva, Arno Scharl, Michael Foels"Games with a Purpose or Mechanised Labour? A Comparative Study"2013
Mechanised labour and games with a purpose are the two most popular human computation genres, frequently employed to support research activities in fields as diverse as natural language processing, semantic web or databases. Research projects typically rely on either one or the other of these genres, and therefore there is a general lack of understanding of how these two genres compare and whether and how they could be used together to offset their respective weaknesses. This paper addresses these open questions. It first identifies the differences between the two genres, primarily in terms of cost, speed and result quality, based on existing studies in the literature. Secondly, it reports on a comparative study which involves performing the same task through both genres and comparing the results. The study's findings demonstrate that the two genres are highly complementary, which not only makes them suitable for different types of projects, but also opens new opportunities for building cross-genre human computation solutions that exploit the strengths of both genres simultaneously.
Author(s): Marta Sabou, K. Bontcheva, Arno Scharl, Michael Foels
Publication date: 1. 4. 2013
Place of Publication Volume: New York, NY
Publisher: Association for Computing Machinery
Electronic version(s), related files and links: http://dx.doi.org/doi:10.1145/2494188.2494210
A. Scharl, M. Sabou, Michael Föls"Climate Quiz-A Web Application for Eliciting and Validating Knowledge from Social Networks"2012 Pages: 189-192
With more than 800 million monthly active users, Facebook bears significant potential for science projects. Climate Quiz is an interactive Web application in the tradition of "games with a purpose" that leverages this potential to create metadata through a crowdsourcing-based approach. It presents participants with two types of challenges: (1) selecting the correct relation to connect two environmental concepts, and (2) answering climate-related multiple choice questions. Climate Quiz aims to create shared meaning through collaborative ontology building, a process that captures emergent semantics and elicits formal knowledge in the form of a domain model. As an innovative survey instrument, the application leverages social networking platforms to capture indicators of environmental attitudes, lifestyles and behaviors.
Author(s): A. Scharl, M. Sabou, Michael Föls
Publication date: 2012
Place of Publication Volume: Sao Paulo, Brazil
Host publication editor(s): R. Bressan G.; Silveira
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