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

Konferenz
2011

itag: Automatically annotating textual resources with human intentions

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

Konferenz
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

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

CEUR Workshop Proceedings, 2011

Konferenz
2011

Pammer-Schindler Viktoria, Knipfer Kristin, Krogstie Birgit, Wessel Daniel, Prilla Michael, Lindstaedt Stefanie

Reflective Learning at Work - A Position and Discussion Paper

Proceedings of the 1st European Workshop on Awareness and Reflection in Learning Networks (ARNETS'11), Reinhardt, W., Ullmann, T., Scott, P., Pammer, V., Conlan, O., Berlanga, A., CEUR Workshop Proceedings, 2011

The relevance of reflection for learning has long been recognised,and there is a substantial body of theoretical work on reflection.However, many questions regarding reflection at the workplace are stillopen, especially regarding the actual occurrence of reflection in differentworkplaces, and the efficient support for reflection.In our ongoing work to examine the relevance of reflective learning atwork in various organisations and to design technological support, wehave collected and discussed existing literature on reflective learning.Within this paper, we discuss relevant and open issues in four majortopical areas that are relevant to the above research goal, namely (i) thereflection process , (ii) the various scopes of reflection such as individualand organisational learning, (iii) the context or setting in which reflectionmight take place and (iv) how we can facilitate and scaffold reflectionby means of technology. We aim to provide a basis for discussion and toillustrate that research on reflection, especially in the context of work, isfar from finished.
2011

The Case for an Open Science in Technology Enhanced Learning

International Journal of Technology Enhanced Learning, Inderscience, 2011

Konferenz
2011

Automatically Constructing Concept Hierarchies of Health-Related Human Goals

Fifth International Conference on Knowledge Science, Engineering and Management (KSEM’11), 2011

To realize the vision of intelligent agents on the web, agents need to be capable of understanding people’s behavior. Such an understanding would enable them to better predict and support human activities on the web. If agents had access to knowledge about human goals, they could, for instance, recognize people’s goals from their actions or reason about people’s goals. In this work, we study to what extent it is feasible to automatically construct concept hierarchies of domain-specific human goals. This process consists of the following two steps: (1) extracting human goal instances from a search query log and (2) inferring hierarchical structures by applying clustering techniques. To compare resulting concept hierarchies, we manually construct a golden standard and calculate taxonomic overlaps. In our experiments, we achieve taxonomic overlaps of up to ~51% for the health domain and up to ~60% for individual health subdomains. In an illustration scenario, we provide a prototypical implementation to automatically complement goal concept hierarchies by means-ends relations, i.e. relating goals to actions which potentially contribute to their accomplishment. Our findings are particularly relevant for knowledge engineers interested in (i) acquiring knowledge about human goals as well as (ii) automating the process of constructing goal concept hierarchies.
2011

Lindstaedt Stefanie

Where Science Becomes Innovation

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

Konferenz
2011

Knowledge processes and -services

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

Konferenz
2011

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

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

Konferenz
2011

Building Directories for Social Tagging Systems

In 20th ACM Conference on Information and Knowledge Management (CIKM 2011) , Glasgow, UK, 2011, 2011

2011

Tags vs. Shelves: From Social Tagging to Social Classification

In 22nd ACM SIGWEB Conference on Hypertext and Hypermedia (HT 2011), 2011

2011

One tag to Bind Them all: Measuring Term Abstractness in Social Metadata

In 8th Extended Semantic Web Conference (ESWC2011), 2011

2011

Semantic Analysis of Energy-Related Conversations in Social Media: A Twitter Case Study

International Conference of Persuasive Technology (Persuasive 2011), 2011

2011

Pragmatic metadata matters: How data about the usage of data effects semantic user models

Proceedings of the 4th International Workshop on Social Data on the Web (SDoW2011), 2011

2011

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

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

Konferenz
2011

Stern Hermann, Pammer-Schindler Viktoria, Lindstaedt Stefanie

A Preliminary Study on Interruptibility Detection based on Location and Calendar Information

Third Workshop on Context-Systems Design, Evaluation and Optimisation (CoSDEO) 2011, December 6th - 8th, Copenhagen, Denmark, 2011., 2011

Journal
Modern communication technology-such as mobile phonesincreases our level of availability, but also raises the risk of being inappropriately interrupted. In this paper, we present our on-going research on automatically detecting a user’s interruptibility. This is the first step towards (i) contextualizing the modus of message notification, ie making the notification more or less attention-grabbing, and (ii) contextualizing message ranking, ie, prioritizing messages according to their relevance for the user’s current level of activity. We describe our approach of automatically detecting a user’s interruptibility based on location and calendar information. Both kinds of data are easily available in a mobile setting using smartphones. Second, we present a preliminary study that evaluates (i) whether GPS information is available sufficiently for our purpose in a real-world setting, and (ii) whether the computed interruptibility corresponds to a user’s own perception of interruptibility.
2011

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

ACM ICPS, ACM, 2011

Konferenz
2011

A Comparison of Metadata Extraction Techniques for Crowdsourced Bibliographic Metadata Management

ACM, 2011

Journal
2011

Bibliotheksgespräch - Future Internet und die Bibliotheskwelt

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

Konferenz
2011

Horn Christopher, Pimas Oliver, Granitzer Michael, Lex Elisabeth

Realtime Ad Hoc Search in Twitter: Know-Center at TREC Microblog Track 2011

Proceedings of TREC 2011, 2011

In this paper, we outline our experiments carried out at theTREC Microblog Track 2011. Our system is based on a plain text indexextracted from Tweets crawled from twitter.com. This index hasbeen used to retrieve candidate Tweets for the given topics. The resultingTweets were post-processed and then analyzed using three differentapproaches: (i) a burst detection approach, (ii) a hashtag analysis, and(iii) a Retweet analysis. Our experiments consisted of four runs: Firstly,a combination of the Lucene ranking with the burst detection, and secondly,a combination of the Lucene ranking, the burst detection, and thehashtag analysis. Thirdly, a combination of the Lucene ranking, the burstdetection, the hashtag analysis, and the Retweet analysis, and fourthly,again a combination of the Lucene ranking with the burst detection butin this case with more sophisticated query language and post-processing.We achieved the best MAP values overall in the fourth run.
2011

Knowledge Extraction and Integration using Automatic and Visual Methods

Position paper at PlanetData Project Strategic Workshop for Call 2, 2011

2011

Drachsler Hendrik, Verbert Katrien, Sicilia Miguel-Angel, Wolpers Martin, Manouselis Nikos, Vuorikari Riina, Lindstaedt Stefanie

Datasets for Technology Enhanced Learning

Alpine Rendez-Vous 2011, 2011

The workshop was motivated by the issue that very less educational datasets are publicly available in TEL, so that the outcomes of different TEL adaptive applications and recommender systems that support personalised learning are hardly comparable. In other domains like in e-commerce it is a common practise to use different datasets as benchmarks to evaluate recommender systems algorithms to make the results comparable (MovieLens, Book-Crossing, EachMovie dataset). So far, no universally valid knowledge exists in TEL on algorithm that can be successfully applied in a certain learning setting to personalise learning. Having a collection of datasets could be a first major step towards a theory of personalisation within TEL that can be based on empirical experiments with verifiable and valid results. Therefore, the main objective of the dataTEL workshop was to explore suitable datasets for TEL with a specific focus on recommender and adaptive information systems that can take advantage of these datasets. In this context, new challenges emerge like unclear legal protection rights and privacy issues, suitable policies and formats to share data, required preprocessing procedures and rules to create sharable datasets, common evaluation criteria for recommender systems in TEL and how a dataset driven future in TEL could look like.
2011

Lindstaedt Stefanie , Kraker Peter, Wild Fridolin, Ullmann Thomas, Duval Erik, Parra Gonzalo

First experiences with a Science 2.0 infrastructure

2011

This deliverable reports on first usage experiences and evaluations of the STELLAR Science 2.0 Infrastructure. Usage experiences were available predominantly for the "mature" part of the infrastructure provided by standard Web 2.0 tools adapted to STELLAR needs. Evaluations are provided for newly developed tools. We first provide an overview of the whole STELLAR Science 2.0 Infrastructure and the relationships between the building blocks. While the individual building blocks already benefit researchers, the integration between them is the key for a positive usage experience. The publication meta data ecosystem for example provides researchers with an easy to retrieve set of TEL related data. Tools like the ScienceTable, Muse, the STELLAR latest publication widget, and the STELLAR BuRST search show already several scenarios of how to make use of this infrastructure. Especially a strong focus on anlytical tools based on publication and social media data seem useful. In order to highlight the relevance of the infrastructure to the individual capacitiy building activties within STELLAR, the usage experiences of individual building blocks are then reported with respect to Researcher Capacity (e.g. Deliverable Wikis, More! application), Doctoral Academy Capacity (e.g. DoCoP), Community Level Capacity (e.g TELeurope), and Leadership Capacity (e.g. Meeting of Minds, Podcast Series). Here we draw from 11 scientific papers published. The reader will find an overview of all these papers in the Appendix. Based on the usage experiences and evaluations we have identified a number of ideas which might be worth considering for future developments. For example, the experiences gained with the Deliverable Wikis show how the modification of the standard Wiki history can provide useful analytical insights into the collaboration of living deliverables and can return the focus on authorship (which is intentionally masked in Wikis, because of their strong notion on the product and not on authors). We conclude with main findings and an outlook on the development plan and evaluation plan which are currently being developed and which will influence D6.6. Particularly, we close with the notion of a Personal Research Environment (PRE) which draws from the concept of Personal Learning Environments (PLE).
2011

Windrum Caroline, Joubert Marie, Barak Noaa, Specht Marcus, De Vries Fred, Persico Donatella, Camilleri Anthony, Lindstaedt Stefanie , Kraker Peter, Herder Eelco, Wild Fridolin, Duval Erik

D5. 3.1-Report on community building with Stakeholders

2011

This report provides the first of three annual reports on the progress of Work Package 5. It describes what has been achieved in the first year of activity related to the 5 tasks outlined in the Description of Work.Task 1 Stakeholder Analysis and Initiation of Activities. Establishment of Stakeholder Panel, monitoring tools, and metrics.Task 3 Stakeholder Needs Analysis.Elaboration and Showcasing: Two way communications with the rest of STELLAR WPs.Implementation of Synergetic Activities: Involvement in conferences/ workshops.
2011

Noaa Barak, Burgos Daniel, Specht Marcus, De Vries Fred, Camilleri Anthony, Lindstaedt Stefanie , Persico Donatella

D5. 2-Stakeholder engagement plan, report on Guidelines and Monitoring tools-metrics

2011

This document describes the Guidelines, strategy, tools and methods for establishing the STELLAR stakeholders’ network and engaging with the TEL stakeholders. The overall aim of WP5 is to build a TEL community level capacity, with five main objectives: The STELLAR consortium aims to unify the leading institutions and projects in European Technology-Enhanced Learning (TEL) in a Network of Excellence (NoE). As part of this, it aims to reduce community fragmentation by bringing together the key stakeholders in European TEL and stimulate ongoing knowledge exchange between them. This is the work of WP5.
2011

Drachsler Hendrik, Verbert Katrien, Sicilia Miguel-Angel, Wolpers Martin, Manouselis Nikos, Vuorikari Riina, Lindstaedt Stefanie , Fischer Frank

dataTEL-Datasets for technology enhanced learning-White paper

Stellar Open Archive, 2011

The dataTEL white paper develop during the dataTEL workshop at the ARV2011. The workshop was motivated by the issue that very less educational datasets are publicly available in TEL, so that the outcomes of different TEL adaptive applications and recommender systems that support personalised learning are hardly comparable. In other domains like in e-commerce it is a common practise to use different datasets as benchmarks to evaluate recommender systems algorithms to make the results comparable (MovieLens, Book-Crossing, EachMovie dataset). So far, no universally valid knowledge exists in TEL on algorithm that can be successfully applied in a certain learning setting to personalise learning. Having a collection of datasets could be a first major step towards a theory of personalisation with in TEL that can be based on empirical experiments with verifiable and valid results.
2011

Weber Nicolas, Lindstaedt Stefanie

A User Centered Approach for Quality Assessment in Social Systems

KMIS, 2011

Journal
Analyzing the meaning of quality in information systems has a long tradition. As a result of the increasing amount of user generated content on the web, addressing quality is more relevant than ever. Since information is produced and consumed by different people in various contexts the perception of quality is always closely tied to the users’ situation. This work proposes an approach for assessing quality in social systems with respect to the users’ current needs.
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.
2011

A User Centred Approach for Quality Assessment in Social Systems

Proceedings of KMIS 2011 - International Conference on Knowledge Management and Information Sharing, Paris, 2011

2011

Lindstaedt Stefanie , Kump Barbara, Rath Andreas S.

Context-Aware Recommendation for Work-Integrated Learning

Context and Semantics for Knowledge Management. Technologies for Personal Productivity, Warren, P., Davies, J., Simperl, E., Springer, 2011

Journal
Within this chapter we first outline the important role learning plays within knowledge work and its impact on productivity. As a theoretical background we introduce the paradigm of Work-Integrated Learning (WIL) which conceptualizes informal learning at the workplace and takes place tightly intertwined with the execution of work tasks. Based on a variety of in-depth knowledge work studies we identify key requirements for the design of work-integrated learning support. Our focus is on providing learning support during the execution of work tasks (instead of beforehand), within the work environment of the user (instead of within a separate learning system), and by repurposing content for learning which was not originally intended for learning (instead of relying on the expensive manual creation of learning material). In order to satisfy these requirements we developed a number of context-aware knowledge services. These services integrate semantic technologies with statistical approaches which perform well in the face of uncertainty. These hybrid knowledge services include the automatic detection of a user’s work task, the ‘inference’ of the user’s competencies based on her past activities, context-aware recommendation of content and colleagues, learning opportunities, etc. A summary of a 3 month in-depth summative workplace evaluation at three testbed sites concludes the chapter.
2011

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

Pragmatic Evaluation of Folksonomies

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

Konferenz
2011

Social Validation of INSPIRE Standards Using Online Communities

Proceedings of EnviroInfo 2011, Ispra, Italy, 2011

2011

Lindstaedt Stefanie , Stern Hermann, Beham Günter, Prettenhofer P., Scheir Peter

Applying Language Technologies to Support Work-Integrated Learning

SDV. Sprache und Datenverarbeitung: International Journal for Language Data Processing, Current Trends in Technology Enhanced Learning, Schmitz, H.-C., Wolpers, M., Universitätsverlag Rhein-Ruhr, 2011

Journal
2011

Kraker Peter, Lindstaedt Stefanie

Research Practices on the Web in the Field of Technology Enhanced Learning

ACM Webscience Conference 2011, 2011

Journal
Recently, developments under the banners of Science/Research 2.0 have received a lot of attention in the scientific community. Along with Web 2.0 tools and technologies, a certain change in researcher practices can be observed. The study proposed for this paper was conducted to gain first insight into these practices among researchers in Technology Enhanced Learning (TEL). We conducted two focus groups with a total of 14 participants from the domains of knowledge management and e-learning. Only a limited amount of Science 2.0 practices were identified, mostly related to research design and publication. Potentials for support, however, exist in all steps of the TEL research process. We conclude that tools and technologies must either support existing practice to provide a benefit, or solve obvious shortcomings in existing practice.
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

Granitzer Michael, Lindstaedt Stefanie

Web 2.0: Applications and Mechanisms J.UCS Special Issue

JUCS - Journal of Universal Computing, 2011

Journal
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

Granitzer Michael, Kienreich Wolfgang, Seifert Christin

Visualizing Text Classification Models with Voronoi Word Clouds

Proceedings 15th International Conference Information Visualisation (IV), 2011

Journal
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

Konferenz
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

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

Acquiring Knowledge about Human Goals from Search Query Logs

Information Processing & Management, 2011

Konferenz
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

Granitzer Michael, Lindstaedt Stefanie

Semantic Web: Theory and Applications

Journal of Universal Computer Science, 2011

Journal
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

What is Knowledge Visualization? Opinions on Current and Future State

Proceedings of the 15th International Conference Information Visualisation (IV'11), 2011

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

Kow Weng Onn, Sabol Vedran, Granitzer Michael, Kienreich Wolfgang, Lukose Dickson

A Visual SOA-based Ontology Alignment Tool

in Proceedings of the Sixth International Workshop on Ontology Matching (OM-2011), CEUR-WS. org, 2011

Journal
Ontology alignment is the process of matching related concepts fromdifferent ontologies. We propose a semi-automatic, visual approach whichcombines two algorithms for finding candidate alignments with visualnavigation and analysis tools. The implementation is based on a ServiceOrientedArchitecture (SOA) to achieve scalability.
2011

Rath Andreas S., Devaurs Didier, Lindstaedt Stefanie

An Ontology-Based Approach for Detecting Knowledge Intensive Tasks

Journal of Digital Information Management, Pichappan, P., Jacobs, D. , Digital Information Research Foundation, 2011

Journal
In the context detection field, an important challenge is automatically detecting the user's task, for providing contextualized and personalized user support. Several approaches have been proposed to perform task classification, all advocating the window title as the best discriminative feature. In this paper we present a new ontology-based task detection approach, and evaluate it against previous work. We show that knowledge intensive tasks cannot be accurately classified using only the window title. We argue that our approach allows classifying such tasks better, by providing feature combinations that can adapt to the domain and the degree of freedom in task execution.
2011

Granitzer Michael, Lindstaedt Stefanie

Knowledge Work : Knowledge Worker Productivity , Collaboration and User Support

J.UCS - Journal of Universal Computer Science, 2011

Journal
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

Konferenz
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

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

Konferenz
2011

Fessl Angela, Rivera-Pelayo Verónica, Müller Lars, Pammer-Schindler Viktoria, Lindstaedt Stefanie

Motivation and User Acceptance of Using Physiological Data to Support Individual Reflection

2nd International Workshop on Motivation and Affective Aspects in Technology Enhanced Learning (MATEL 2011), co-located with the Sixth European Conference on Technology Enhanced Learning (ECTEL 2011), 2011

While research comes up with new sensors and physiologicaldata is gaining more attention in private usage, sensors play no role inprofessional learning. In this paper we shed light on the motivation touse physiological sensors in the workplace. Three user studies have beenconducted in five companies to assess the motivation to (a) wear sensorsand (b) reflect on physiological data during work. Based on these studies,we show that workers would be willing to use physiological sensors, butthe benefit of the awareness about the own physiological state is oftennot clear or the usability of sensors is insufficient. Moreover, in stressprone professions like emergency care there are already successful copingstrategies in place. Introducing physiological sensors has to provide clearbenefits by offering solutions to act on this awareness and focus on thepracticability of the sensors.
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

Konferenz
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

Kern Roman, Seifert Christin, Zechner Mario, Granitzer Michael

Vote/Veto Meta-Classifier for Authorship Identification

CLEF 2011: Proceedings of the 2011 Conference on Multilingual and Multimodal Information Access Evaluation (Lab and Workshop Notebook Papers), Amsterdam, The Netherlands, 2011

For the PAN 2011 authorship identification challenge we have developeda system based on a meta-classifier which selectively uses the results ofmultiple base classifiers. In addition we also performed feature engineering basedon the given domain of e-mails. We present our system as well as results on theevaluation dataset. Our system performed second and third best in the authorshipattribution task on the large data sets, and ranked middle for the small data set inthe attribution task and in the verification task.
2011

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

DOK Magazin, 2011

Konferenz
2011

Enterprise 2.0 & Co - Chance und Risiko im Wissensmanagement

monitor - Das Magazin für Informationstechnologie, 2011

Konferenz
2011

Enterprise 2.0 - Fluch und Segen im Wissensmanagement

DOK Magazin, 2011

Konferenz
2011

Web 2.0 Technologien im Wissensmanagement

Computerwelt, 2011

Konferenz
2011

Erdmann Michael, Hansch Daniel, Pammer-Schindler Viktoria, Rospocher Marco, Ghidini Chiara, Lindstaedt Stefanie , Serafini Luciano

Applications of Semantic Wikis - Bringing Complementary Models and People Together: A Semantic Wiki for Enterprise Process and Application Modelling

Context and Semantics for Knowledge Management}, Warren, P., Davies, J., Simperl, E., Springer, 2011

Journal
This chapter describes some extensions to and applications of the Semantic MediaWiki. It complements the discussion of the SMW in Chap. 3. Semantic enterprise wikis combine the strengths of traditional content management systems, databases, semantic knowledge management systems and collaborative Web 2.0 platforms. Section 12.1 presents SMW+, a product for developing semantic enterprise applications. The section describes a number of real-world applications that are realized with SMW+. These include content management, project management and semantic data integration. Section 12.2 presents MoKi, a semantic wiki for modeling enterprise processes and application domains. Example applications of MoKi include modeling tasks and topics for work-integrated learning, collaboratively building an ontology and modeling clinical protocols. The chapter illustrates the wealth of activities which semantic wikis support.
2011

Granitzer Michael, Tochtermann Klaus

Future Internet and the Library World

ZEITSCHRIFT FUR BIBLIOTHEKSWESEN UND BIBLIOGRAPHIE, 2011

Journal
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