Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2011

Weber N., Frühstück G., Ley Tobias

Unterstützung des Wissensreifungsprozesses durch Einsatz von Web 2.0 in Unternehmen

6th Conference on Professional Knowledge - From Knowledge to Action. 21. - 23. Februar 2011, Innsbruck, Austria., ISBN 978-3-88579-276-5 , Maier, R., Springer, 2011

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2011

Enterprise 2.0 - Fluch und Segen im Wissensmanagement

DOK Magazin, 2011

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2011

Bibliotheksgespräch - Future Internet und die Bibliotheskwelt

Zeitschrift für Bibliothekswesen und Bibliographie, Niggemann, E., Schneider-Kempf, B., Vittorio Klostermann, 2011

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2011

Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies

ACM ICPS, ACM, 2011

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2011

On the construction of efficiently navigable tag clouds using knowledge from structured web content

Journal of Universal Computer Science , 17(4), 2011

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2011

itag: Automatically annotating textual resources with human intentions

Journal of Emerging Technologies in Web Intelligence, Academy Publisher, 2011

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Annotations represent an increasingly popular means for organizing, categorizing and finding resources on the “social” web. Yet, only a small portion of the total resources available on the web are annotated. Work on automatic tag generation algorithms aims to tackle this problem by developing algorithms that attempt to approximate and support human tagging behavior. While existing algorithms largely focus on automatically describing the general topics covered by a resource (such as “career”, “education”), we suggest focusing on a different tagging dimension: i.e. automatically annotating resources with human intentions. Intent annotations aim to describe which goals are referenced in given textual resources (such as “find a job”, “get a degree”), thereby offering a new, interesting perspective on textual resources on the web. We describe a prototype – iTAG - for automatically annotating textual resources with human intent, and investigate the extent to which the automatic analysis of human intentions in textual resources is feasible. For evaluation purposes, we present results from an exploratory study that focused on annotating intent in transcripts of speeches given by US presidential candidates in 2008.
2011

Are Tag Clouds Useful for Navigation? A Network-Theoretic Analysis

Journal of Social Computing and Cyber-Physical Systems, 1(1), 2011

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2011

Knowledge processes and -services

Editorial introduction to the special issue on “Knowledge processes and -services”. it - Information Technology, 53(3), 2011

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2011

Lindstaedt Stefanie

Where Science Becomes Innovation

Public Service Review: European Science and Technology, Public Service, 2011

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2011

The Case for an Open Science in Technology Enhanced Learning

International Journal of Technology Enhanced Learning, Inderscience, 2011

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2011

Proceedings of the 1st European Workshop on Awareness and Reflection in Learning Networks (ARNETS'11)

CEUR Workshop Proceedings, 2011

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2011

Web 2.0 Technologien im Wissensmanagement

Computerwelt, 2011

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2011

Enterprise 2.0 & Co - Chance und Risiko im Wissensmanagement

monitor - Das Magazin für Informationstechnologie, 2011

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2011

Helic Denis, Strohmaier M., Trattner Christoph, Muhr M., Lerman K.

Pragmatic Evaluation of Folksonomies

20th International World Wide Web Conference (WWW2011), 2011

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2011

Veränderung als Konstante - wie soziale Medien die (Geschäfts-)Welt prägen

DOK Magazin, 2011

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2011

Kump Barbara, Knipfer Kristin, Pammer-Schindler Viktoria, Schmidt Andreas, Maier Ronald, Kunzmann Christine, Cress Ulrike, Lindstaedt Stefanie

The role of Reflection in Maturing Organizational Know-how

Proceedings of the 1st European Workshop on Awareness and Reflection in Learning Networks, Palermo, Italy, September 21, 2011, Reinhardt, W., Ullmann, T. D., Scott, P., Pammer, V., Conlan, O., Berlanga, A., 2011

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The Knowledge Maturing Phase Model has been presented as a model aligning knowledge management and organizational learning. The core argument underlying the present paper is that maturing organizational knowhow requires individual and collaborative reflection at work. We present an explorative interview study that analyzes reflection at the workplace in four organizations in different European countries. Our qualitative findings suggest that reflection is not equally self-evident in different settings. A deeper analysis of the findings leads to the hypothesis that different levels of maturity of processes come along with different expectations towards the workers with regard to compliance and flexibility, and to different ways of how learning at work takes place. Furthermore, reflection in situations where the processes are in early maturing phases seems to lead to consolidation of best practice, while reflection in situations where processes are highly standardized may lead to a modification of these standard processes. Therefore, in order to support the maturing of organizational know-how by providing reflection support, one should take into account the degree of standardisation of the processes in the target group.
2011

Declerck Thierry, Granitzer Michael, Grzegorzek Marcin, Romanelli Massimo, Rüger Stefan, Sintek Michael

Semantic Multimedia - 5th International Conference on Semantic and Digital Media Technologies, SAMT 2010

Lecture Notes in Computer Science, Vol. 6725, Declerck, T.; Granitzer, M.; Grzegorzek, M.; Romanelli, M.; Rüger, S.; Sintek, M., Springer, 2011

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2011

Seifert Christin, Ulbrich Eva Pauline, Granitzer Michael

Word Clouds for Efficient Document Labeling

The Fourteenth International Conference on Discovery Science (DS 2011), Lecture Notes in Computer Science, Springer, 2011

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In text classification the amount and quality of training datais crucial for the performance of the classifier. The generation of trainingdata is done by human labelers - a tedious and time-consuming work. Wepropose to use condensed representations of text documents instead ofthe full-text document to reduce the labeling time for single documents.These condensed representations are key sentences and key phrases andcan be generated in a fully unsupervised way. The key phrases are presentedin a layout similar to a tag cloud. In a user study with 37 participantswe evaluated whether document labeling with these condensedrepresentations can be done faster and equally accurate by the humanlabelers. Our evaluation shows that the users labeled word clouds twiceas fast but as accurately as full-text documents. While further investigationsfor different classification tasks are necessary, this insight couldpotentially reduce costs for the labeling process of text documents.
2011

Automatic detection of accommodation steps as an indicator of knowledge maturing (in-press)

Interacting with computers: the interdisciplinary journal of human-computer interaction, Murray, D. M., Elsevier B.V., 2011

Konferenz
Jointly working on shared digital artifacts – such as wikis – is a well-tried method of developing knowledge collectively within a group or organization. Our assumption is that such knowledge maturing is an accommodation process that can be measured by taking the writing process itself into account. This paper describes the development of a tool that detects accommodation automatically with the help of machine learning algorithms. We applied a software framework for task detection to the automatic identification of accommodation processes within a wiki. To set up the learning algorithms and test its performance, we conducted an empirical study, in which participants had to contribute to a wiki and, at the same time, identify their own tasks. Two domain experts evaluated the participants’ micro-tasks with regard to accommodation. We then applied an ontology-based task detection approach that identified accommodation with a rate of 79.12%. The potential use of our tool for measuring knowledge maturing online is discussed.
2011

Kump Barbara, Ley Tobias, Lindstaedt Stefanie

Evaluating Adaptive Work-integrated Learning Systems: From the Lab to the Field

ECTEL 2011, Palermo, Italy, 20-23 September 2011, Springer, 2011

Konferenz
Evaluation frameworks have been presented that suggest layeredevaluation of adaptive systems along two dimensions: (i) the softwaredevelopment cycle, and (ii) the component of the adaptive system that shall belooked at. We argue that a third dimension is crucial: the question whether anevaluation should take place in the lab or in the field. We present a refinedsystematization of evaluation approaches using the evaluation of the adaptiveWIL system APOSDLE as an example.
2011

Acquiring Knowledge about Human Goals from Search Query Logs

Information Processing & Management, 2011

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A better understanding of what motivates humans to perform certain actions is relevant for a range of research challenges including generating action sequences that implement goals (planning). A first step in this direction is the task of acquiring knowledge about human goals. In this work, we investigate whether Search Query Logs are a viable source for extracting expressions of human goals. For this purpose, we devise an algorithm that automatically identifies queries containing explicit goals such as find home to rent in Florida. Evaluation results of our algorithm achieve useful precision/recall values. We apply the classification algorithm to two large Search Query Logs, recorded by AOL and Microsoft Research in 2006, and obtain a set of 110,000 queries containing explicit goals. To study the nature of human goals in Search Query Logs, we conduct qualitative, quantitative and comparative analyses. Our findings suggest that Search Query Logs (i) represent a viable source for extracting human goals, (ii) contain a great variety of human goals and (iii) contain human goals that can be employed to complement existing commonsense knowledge bases. Finally, we illustrate the potential of goal knowledge for addressing following application scenario: to refine and extend commonsense knowledge with human goals from Search Query Logs. This work is relevant for (i) knowledge engineers interested in acquiring human goals from textual corpora and constructing knowledge bases of human goals (ii) researchers interested in studying characteristics of human goals in Search Query Logs.
2011

Horn Christopher, Lex Elisabeth, Granitzer Michael

Who Tweets: Detecting User Types and Tweet Quality using Supervised Classification

IADIS Multiconference on Computer Science and Information Systems, 2011

Konferenz
Social networking tools like Twitter are the latest trend in the global world. However, due to the increasing amount ofcontent in Twitter, there is a need for information filtering by facets like user type and content quality. In this work, weaddress this challenge by classifying users into three user types, "news", "personal user", and "advertisements".Additionally, we assess the quality of the Tweets by classifying them into "factual" versus "opinionated". We evaluatedword stemming and regular expressions as data pre-processing techniques and found that with simple regularexpressions, a sound classification accuracy of more than 80% can be achieved. Besides, we propose a web-based TwitterClassification Application that enables to manually annotate Tweets into a set of pre-defined classes with maintainableeffort.
2011

Kraker Peter, Wagner Claudia, Jeanquartier Fleur, Lindstaedt Stefanie

On the Way to a Science Intelligence: Visualizing TEL Tweets for Trend Detection

Sixth European Conference on Technology Enhanced Learning (EC-TEL 2011), Springer, 2011

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This paper presents an adaptable system for detecting trends based on the micro-blogging service Twitter, and sets out to explore to what extent such a tool can support researchers. Twitter has high uptake in the scientific community, but there is a need for a means of extracting the most important topics from a Twitter stream. There are too many tweets to read them all, and there is no organized way of keeping up with the backlog. Following the cues of visual analytics, we use visualizations to show both the temporal evolution of topics, and the relations between different topics. The Twitter Trend Detection was evaluated in the domain of Technology Enhanced Learning (TEL). The evaluation results indicate that our prototype supports trend detection but reveals the need for refined preprocessing, and further zooming and filtering facilities.
2011

Kern Roman, Zechner Mario, Granitzer Michael

Model Selection Strategies for Author Disambiguation

IEEE Computer Society: 8th International Workshop on Text-based Information Retrieval in Procceedings of 22th International Conference on Database and Expert Systems Applications (DEXA 11), IEEE , 2011

Konferenz
Author disambiguation is a prerequisite for utilizingbibliographic metadata in citation analysis. Automaticdisambiguation algorithms mostly rely on cluster-based disambiguationstrategies for identifying unique authors given theirnames and publications. However, most approaches rely onknowing the correct number of unique authors a-priori, whichis rarely the case in real world settings. In this publicationwe analyse cluster-based disambiguation strategies and developa model selection method to estimate the number of distinctauthors based on co-authorship networks. We show that, givenclean textual features, the developed model selection methodprovides accurate guesses of the number of unique authors.
2011

Moskaliuk Johannes, Weber Nicolas, Stern Hermann, Kimmerle Joachim, Cress Ulrike, Lindstaedt Stefanie

Evaluation of social media collaboration using task-detection methods

ECTEL 2011, Palermo, Italy, 20-23 September 2011, Springer, 2011

Konferenz
Collaboration using social media is a good way of jointly constructing knowledge. This study aims at better understanding collaborative knowledge construction processes by applying innovative (micro-)task detection approaches. We take a closer look at the interactions of a user with a shared digital artifact by analyzing the captured interaction data. The goal is to identify domain-independent interaction patterns, which can serve as indicators for knowledge development (operationalized as accommodation). We designed an empirical study under laboratory conditions that used our method. The applied task detection approach identified accommodation with a rate of 77.63% without resorting to textual features. This result instantiates an improvement as compared to a previous study in which the text in focus was identified as the feature with best discriminative power. We discuss our hypothesis that our method is independent from the used knowledge domain.
2011

Shahzad Syed K, Granitzer Michael, Helic Denis

Ontological Model Driven GUI Development: User Interface Ontology Approach

6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), IEEE, 2011

Konferenz
Ontology and Semantic Framework has becomepervasive in computer science. It has huge impact at database,business logic and user interface for a range of computerapplications. This framework is also being introduced, presentedor plugged at user interfaces for various software and websites.However, establishment of structured and standardizedontological model based user interface development environmentis still a challenge. This paper talks about the necessity of such anenvironment based on User Interface Ontology (UIO). To explorethis phenomenon, this research focuses at the User Interfaceentities, their semantics, uses and relationships among them. Thefirst part focuses on the development of User Interface Ontology.In the second step, this ontology is mapped to the domainontology to construct a User Interface Model. Finally, theresulting model is quantified and instantiated for a user interfacedevelopment to support our framework. This UIO is anextendable framework that allows defining new sub-conceptswith their ontological relationships and constraints.
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