Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2012

Lindstaedt Stefanie , Thurner-Scheuerer Claudia

Integrated Learning Systems

Encyclopedia of the Sciences of Learning, Seel, N., Springer, 2012

Buch
2012

Visualising the Fragmentation of Knowledge Work

Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design, ACM, 2012

Journal
2012

Pragmatic analysis of crowd-based knowledge production systems with iCAT analytics: visualizing changes to the ICD-11 ontology.

In Proceedings of the AAAI Spring Symposium on Wisdom of the Crowd. AAAI Press, Stanford, 2012., Stanford, 2012

2012

Studying co-evolution of social and content networks on Twitter.

In Proceedings of the 2nd Workshop on Making Sense of Microposts (MSM'2012), held in conjunction with the 21st World Wide Web Conference (WWW'2012), Lyon, France, 2012, Lyon, France, 2012

2012

When social bots attack: Modeling susceptibility of users in online social networks.

In Proceedings of the 2nd Workshop on Making Sense of Microposts (MSM'2012), held in conjunction with the 21st World Wide Web Conference (WWW'2012), Lyon, France, 2012, Lyon, France, 2012

2012

TeamBeam - Meta-Data Extraction from Scientific Literature

1st International Workshop on Mining Scientific Publications, 2012

2012

Dynamic Topography Information Landscapes – An Incremental Approach to Visual Knowledge Discovery

in Proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2012 ), Springer-Verlag, 2012

Incrementally computed information landscapes are an effective means to visualize longitudinal changes in large document repositories. Resembling tectonic processes in the natural world, dynamic rendering reflects both long-term trends and short-term fluctuations in such repositories. To visualize the rise and decay of topics, the mapping algorithm elevates and lowers related sets of concentric contour lines. Addressing the growing number of documents to be processed by state-of-the-art knowledge discovery applications, we introduce an incremental, scalable approach for generating such landscapes. The processing pipeline includes a number of sequential tasks, from crawling, filtering and pre-processing Web content to projecting, labeling and rendering the aggregated information. Incremental processing steps are localized in the projection stage consisting of document clustering, cluster force-directed placement and fast document positioning. We evaluate the proposed framework by contrasting layout qualities of incremental versus non-incremental versions. Documents for the experiments stem from the blog sample of the Media Watch on Climate Change (www.ecoresearch.net/climate). Experimental results indicate that our incremental computation approach is capable of accurately generating dynamic in-formation landscapes.
2012

Matching Linked Open Data Entities to Local Thesaurus Concepts

CEUR-WS volume 932, 2012

Journal
2012

Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification

CLEF 2012 Evaluation Labs and Workshop – Working Notes Papers, Pamela Forner, Jussi Karlgren, Christa Womser-Hacker, 2012

2012

Where am I? Using Mobile Sensor Data to Predict a User’s Semantic Place with a Random Forest Algorithm

Proceedings of 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2012

2012

What catches your attention? An empirical study of attention patterns in community forums

The International AAAI Conference on Weblogs and Social Media (ICWSM2012), Dublin, Ireland, 2012. , Dublin, Ireland, 2012

2012

Visual Ontology Alignment System - an Evaluation

Proceedings of SIGRAD 2012, Interactive Visual Analysis of Data, Andreas Kerren, Stefan Seipel, 2012

2012

Incremental and Scalable Computation of Dynamic Topography Information Landscapes

Journal of Multimedia Processing and Technologies, Richard Chbeir, Editor-in-Chief, Digital Information Research Foundation (DLINE), 2012

Konferenz
Dynamic topography information landscapes are capable of visualizing longitudinal changes in large document repositories. Resembling tectonic processes in the natural world, dynamic rendering reflects both long-term trends and short-term fluctuations in such repositories. To visualize the rise and decay of topics, the mapping algorithm elevates and lowers related sets of concentric contour lines. Acknowledging the growing number of documents to be processed by state-of-the-art Web intelligence applications, we present a scalable, incremental approach for generating such landscapes. The processing pipeline includes a number of sequential tasks, from crawling, filtering and pre-processing Web content to projecting, labeling and rendering the aggregated information. Processing steps central to incremental processing are found in the projection stage which consists of document clustering, cluster force-directed placement, and fast document positioning. We introduce two different positioning methods and compare them in an incremental setting using two different quality measures. The evaluation is performed on a set of approximately 5000 documents taken from the environmental blog sample of the Media Watch on Climate Change (www.ecoresearch.net/climate), a Web content aggregator about climate change and related environmental issues that serves static versions of the information landscapes presented in this paper as part of a multiple coordinated view representation
2012

Proceedings of the 2nd Workshop on Awareness and Reflection in Technology-Enhanced Learning

Proceedings of the 2nd Workshop on Awareness and Reflection, CEUR Workshop Proceedings, 2012

Konferenz
2012

Unleashing Semantics of Research Data

Proceedings of the Second Workshop on Big Data Benchmarking (WBDB2012.in), 2012

Research depends to a large degree on the availability andquality of primary research data, i.e., data generated through experi-ments and evaluations. While the Web in general and Linked Data inparticular provide a platform and the necessary technologies for sharing,managing and utilizing research data, an ecosystem supporting thosetasks is still missing. The vision of the CODE project is the establish-ment of a sophisticated ecosystem for Linked Data. Here, the extractionof knowledge encapsulated in scientific research paper along with its pub-lic release as Linked Data serves as the major use case. Further, VisualAnalytics approaches empower end users to analyse, integrate and orga-nize data. During these tasks, specific Big Data issues are present.
2012

The Functions of Sharing Experiences, Observations and Insights for Reflective Learning at Work

Proceedings of the 2nd Workshop on Awareness and Reflection in Technology-Enhanced Learning (ARTEL 2012) at EC-TEL 2012, CEUR Workshop Proceedings, 2012

2012

Drachsler Hendrik, Verbert Katrien, Manouselis Nikos, Vuorikari Riina, Wolpers Martin, Lindstaedt Stefanie

Preface [Special issue on dataTEL–Data Supported Research in Technology-Enhanced Learning]

Int. J. Technology Enhanced Learning, 2012

Journal
Technology Enhanced Learning is undergoing a significant shift in paradigm towards more data driven systems that will make educational systems more transparent and predictable. Data science and data-driven tools will change the evaluation of educational practice and didactical interventions for individual learners and educational institutions. We summarise these developments and new challenges in the preface of this Special Issue under the keyword dataTEL that stands for ‘Data-Supported Technology-Enhanced Learning’.
2012

Seitlinger Christian, Schöfegger Karin, Lindstaedt Stefanie , Ley Tobias

Community-orientiertes Lernen

CSCL-Kompendium-Lehr-und Handbuch zum computerunterstützten kooperativen Lernen, Oldenburg, 2012

Buch
2012

Recommending Concepts to Experts: An Exploration of Recommender Techniques for Collaborative Ontology Engineering Platforms in the Biomedical Domain.

In Proceedings of the 3rd International Conference on Biomedical Ontology (ICBO 2012), Graz, Austria, 2012., Graz, Austria, 2012

2012

Short links under attack: Geographical analysis of spam in a url shortener network.

In Proceedings of the 23rd Conference on Hypertext and Social Media (HT2012). ACM, 2012., 2012

2012

Pammer-Schindler Viktoria, Kump Barbara, Lindstaedt Stefanie

Tag-based algorithms can predict human ratings of which objects a picture shows

Multimedia Tools and Applications, Springer US, 2012

Journal
Collaborative tagging platforms allow users to describe resources with freely chosen keywords, so called tags. The meaning of a tag as well as the precise relation between a tag and the tagged resource are left open for interpretation to the user. Although human users mostly have a fair chance at interpreting this relation, machines do not. In this paper we study the characteristics of the problem to identify descriptive tags, i.e. tags that relate to visible objects in a picture. We investigate the feasibility of using a tag-based algorithm, i.e. an algorithm that ignores actual picture content, to tackle the problem. Given the theoretical feasibility of a well-performing tag-based algorithm, which we show via an optimal algorithm, we describe the implementation and evaluation of a WordNet-based algorithm as proof-of-concept. These two investigations lead to the conclusion that even relatively simple and fast tag-based algorithms can yet predict human ratings of which objects a picture shows. Finally, we discuss the inherent difficulty both humans and machines have when deciding whether a tag is descriptive or not. Based on a qualitative analysis, we distinguish between definitional disagreement, difference in knowledge, disambiguation and difference in perception as reasons for disagreement between raters.
2012

Visual Exploration of Feature-Class Matrices for Classification Problems

in Proceedings of the 3rd international Eurovis workshop on visual analytics (EuroVA 2012), 2012

2012

Kump Barbara, Seifer Christin, Beham Günter, Lindstaedt Stefanie , Ley Tobias

Seeing What the System Thinks You Know - Visualizing Evidence in an Open Learner Model

Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, ACM, Canada, 2012

User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.
2012

Interlinking Scientific Authors with the LOD Cloud: A Case Study

Proceedings of the Fourth International Conference on Networked Digital Technologies (NDT 2012), Dubai; to be Published in: Communications in Computer and Information Science (CCIS 7899), Springer, 2012

2012

Exploring Appropriation of Enterprise Wikis: A Multiple-Case Study

Computer Supported Cooperative Work (CSCW), Schmidt, K., Springer, 2012

Konferenz
2012

Harnessing User Library Statistics for Research Evaluation and Knowledge Domain Visualization

Large-scale Network Analysis Workshop at WWW'2012, ACM, 2012

2012

Making Sense of Microposts at Scientific Conferences

2nd Workshop on Making Sense of Microposts at WWW'2012, 2012

2012

Devaurs Didier, Rath Andreas S., Lindstaedt Stefanie

Exploiting the User Interaction Context for Automatic Task Detection

Applied Artificial Intelligence, Taylor & Francis Group, 2012

Journal
Detecting the task a user is performing on his/her computer desktop is important in order to provide him/her with contextualized and personalized support. Some recent approaches propose to perform automatic user task detection by means of classifiers using captured user context data. In this paper we improve on that by using an ontology-based user interaction context model that can be automatically populated by (1) capturing simple user interaction events on the computer desktop and (2) applying rule-based and information extraction mechanisms. We present evaluation results from a large user study we have carried out in a knowledge-intensive business environment, showing that our ontology-based approach provides new contextual features yielding good task-detection performance. We also argue that good results can be achieved by training task classifiers “offline” on user context data gathered in laboratory settings. Finally, we isolate a combination of contextual features that present a significantly better discriminative power than classical ones.
2012

Computer support for reflective learning in the workplace: A model

Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, IEEE Computer Society Publications, 2012

2012

Graph Visualization Using Hierarchical Edge Routing and Bundling

in Proceedings of the 3rd international Eurovis workshop on visual analytics (EuroVA 2012), 2012

2012

Helic Denis, Körner C., Granitzer Michael, Strohmaier M., Trattner Christoph

Navigational efficiency of broad vs. narrow folksonomies

In Proceedings of the 23rd Conference on Hypertext and Social Media (HT2012). ACM, 2012, 2012

Konferenz
Although many social tagging systems share a common tripartitegraph structure, the collaborative processes that aregenerating these structures can differ significantly. For example,while resources on Delicious are usually tagged by allusers who bookmark the web page cnn.com, photos on Flickrare usually tagged just by a single user who uploads thephoto. In the literature, this distinction has been describedas a distinction between broad vs. narrow folksonomies.This paper sets out to explore navigational differences betweenbroad and narrow folksonomies in social hypertextualsystems. We study both kinds of folksonomies on a datasetprovided by Mendeley - a collaborative platform where userscan annotate and organize scientific articles with tags. Ourexperiments suggest that broad folksonomies are more usefulfor navigation, and that the collaborative processes thatare generating folksonomies matter qualitatively. Our findingsare relevant for system designers and engineers aimingto improve the navigability of social tagging systems.
2012

What Is Knowledge Visualization? Eight Reflections on an Evolving Discipline

Knowledge Visualization Currents: from Text to Art to Culture , Marchese, F. T., Banissi, E., Springer, 2012

Journal
2012

Maschinelle Lernverfahren für die Automatische Klassifikation von Juristischen Dokumenten

Tagungsband IRIS 2012 - 15. Internationale Rechtsinformatik Symposion, 2012

2012

Understanding co-evolution of social and content networks on Twitter

Proceedings of the 2nd Workshop on Making Sense of Microposts (MSM'2012), WWW2012, 2012

2012

Measuring the Quality of Web Content using Factual Information

Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality at WWW 2012, 2012

2012

Mood Tracking in Virtual Meetings

21st Century Learning for 21st Century Skills - 7th European Conference of Technology Enhanced Learning, EC-TEL 2012, A. Ravenscroft, S. Lindstaedt, C. Kloos, D. Hernández Leo , Springer, 2012

2012

The Push and Pull of Reflection in Workplace Learning: Designing to Support Transitions Between Individual, Collaborative and Organisational Learning

Accepted for publication at: 7th European Conference on Technology-Enhanced Learning (ECTEL 2012), 2012

2012

User Models and Affective Metacognitive Scaffolding for Adaptive Games

Accepted for publication at: Mini-Track User Profiling in Games-Based Learning at the 6th European Conference on Game Based Learning , 2012

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
2012

Fellendorf Martin, Brandstätter Michael, Reiter Thomas, Lindstaedt Stefanie , Breitwieser Christian, Haberl Michael, Hebenstreit Cornelia, Scherer Reinhold, Kraschl-Hirschman Karin, Kröll Mark, Ruthner Thomas, Walther Bernhard

Mobiles Verkehrsmanagement System Movements

2012

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