Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2009

Granitzer Gisela

Web 2.0 in Unternehmen: Eine Fallstudien-Analyse

submitted to: Corporate Web 2.0 - Wissensnetzwerke und Soziale Software in Unternehmen. Workshop at 5. Konferenz Professionelles Wissensmanagement, 25. - 27.03.2009, 2009

Konferenz
2009

Beham Günter, Lindstaedt Stefanie , Kump Barbara, Resanovic D.

Non-invasive User Modeling for Recommending Knowledgeable Persons in Work-integrated Learning

Second Stellar Alpine Rendez-Vous 2009, Workshop for Context-aware recommendation for learning, STELLAR, 2009

Konferenz
2009

Pammer-Schindler Viktoria, Kump Barbara, Lindstaedt Stefanie

On the feasibility of a tag-based approach for deciding which objects a picture shows: An empirical study

Semantic Multimedia. 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009 Graz, Austria, December 2-4, 2009 Proceedings, Springer, 2009

Konferenz
Many online platforms allow users to describe resources withfreely chosen keywords, so called tags. The specific meaning of a tag aswell as its specific relation to the tagged resource are left open for interpretationto the user. Although human users mostly have a fair chance atinterpreting it, machines do not. An algorithmic approach for identifyingdescriptive tags however could prove useful for intelligent search for picturesand providing first-cut overviews over tagged picture repositories.In this paper we investigate the characteristics of the problem to decidewhich tags describe visible entities on a given picture. Based on a systematicuser study, we are able to discuss in detail the problems involvedfor both humans and machines when identifying descriptive tags. Furthermore,we investigate the general feasibility of developing a tag-basedalgorithm tackling this question. Finally, a concrete implementation andits evaluation are presented.
2009

Lex Elisabeth, Granitzer Michael, Juffinger A., Seifert C.

Automated Blog Classification: A Cross Domain Approach

Proc. of IADIS International Conference WWW/Internet, 2009

Konferenz
2009

Lindstaedt Stefanie , Aehnelt M., de Hoog R.

Supporting the Learning Dimension of Knowledge Work

Learning in the Synergy of Multiple Disciplines, 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, Nice, France, September 29 - October 2, 2009, Cress, U., Dimitrova, V., Specht, M., 2009

Konferenz
2009

Ghidini C., Kump Barbara, Lindstaedt Stefanie , Mahbub N., Pammer-Schindler Viktoria, Rospocher M., Serafini L.

MoKi: A Collaborative Enterprise Modelling Tool (Demo and Poster)

Proceedings of the Workshop on Collaborative Construction, Management and Linking of Structured Knowledge (CK 2009) collocated with the 8th International Semantic Web Conference ISWC-2009, CEUR Workshop Proceedings, 2009

Konferenz
2009

Köck Anna Maria, Willfort R.

"Neurovation" - eine virtuelle Kreativitätsumgebung für Open Innovation

Proceedings KnowTech 2009, 2009

Konferenz
2009

Pammer-Schindler Viktoria, Lindstaedt Stefanie

Ontology Evaluation Through Assessment of Inferred Statements: Study of a Prototypical Implementation of an Ontology Questionnaire for OWL DL Ontologies

Knowledge Science, Engineering and Management, Third International Conference, KSEM 2009, Karagiannis, D., Jinpeng, Z., Springer, 2009

Konferenz
2009

Pammer-Schindler Viktoria, Serafini L., Lindstaedt Stefanie

Highlighting assertional effects of ontology editing activities in OWL

Proceedings of the 3rd International Workshop on Ontology Dynamics, (IWOD 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), d'Acquin, M., Antoniou, G., CEUR Workshop Proceedings, 2009

Konferenz
2009

Klieber Hans-Werner, Sabol Vedran, Granitzer Michael, Muhr M.

Using Ontologies For Software Documentation

Malaysian Joint Conference on Artificial Intelligence 2009, 2009

Konferenz
2009

Zechner Mario, Kern Roman, Granitzer Michael, Muhr M.

External and Intrinsic Plagiarism Detection Using Vector Space Models

Proceedings of the SEPLN'09 Workshop on Uncovering Plagiarism, Authorship and Social Software Misuse, 2009

Konferenz
2009

Latif A., Afzal M. T., Höfler Patrick, Us Saeed A.

Turning Keywords into URIs: Simplified User Interfaces for Exploring Linked Data

ACM Proceeding of ICIS 2009. ISBN: 978-1-60558-710-3, 2009

Konferenz
The Semantic Web strives to add structure and meaning to the Web, thereby providing better results and easier interfaces for its users. One important foundation of the Semantic Web is Linked Data, the concept of interconnected data, describing resources by use of RDF and URIs. Linked Data (LOD) provides the opportunity to explore and combine datasets on a global scale -- something which has never been possible before. However, at its current stage, the Linked Data cloud yields little benefit for end users who know nothing of ontologies, triples and SPARQL. This paper presents an intelligent technique for locating desired URIs from the huge repository of Linked Data. Search keywords provided by users are utilized intelligently for locating the intended URI. The proposed technique has been applied in a simplified end user interface for LOD. The system evaluation shows that the proposed technique has reduced user's cognitive load in finding relevant information.
2009

Lex Elisabeth

Content Based Quality And Credibility Assessment For Blogs

Doctoral Paper at IADIS International Conference WWW/Internet 2009, 2009

Konferenz
2009

Jeanquartier Fleur, Kröll Mark, Strohmaier M.

Intent Tag Clouds: An Intentional Approach To Visual Text Analysis

Proceedings of the Workshop on Semantic Multimedia Database Technologies, 10th International Workshop of the Multimedia Metadata Community (SeMuDaTe2009), CEUR Workshop Proceedings Volume 539, 2009

Konferenz
Getting a quick impression of the author's intention of a text is a task often performed. An author's intention plays a major role in successfully understanding a text. For supporting readers in this task, we present an intentional approach to visual text analysis, making use of tag clouds. The objectiveof tag clouds is presenting meta-information in a visually appealing way. However there is also much uncertainty associated with tag clouds, such as giving the wrong impression. It is not clear whether the author's intent can be grasped clearly while looking at a corresponding tag cloud. Therefore it is interesting to ask to what extent, with tag clouds, it is possible to support the user in understanding intentions expressed. In order to answer this question, we construct an intentional perspective on textual content. Based on an existing algorithm for extracting intent annotations from textual content we present a prototypical implementation to produce intent tag clouds, and describe a formative testing, illustrating how intent visualizations may support readers in understanding a text successfully. With the initial prototype, we conducted user studies of our intentional tag cloud visualization and a comparison with a traditional one that visualizes frequent terms. The evaluation's results indicate, that intent tag clouds have a positive effect on supporting users in grasping an author's intent.
2009

Schoefegger K., Weber Nicolas, Lindstaedt Stefanie , Ley Tobias

KNOWLEDGE MATURING SERVICES: Supporting Knowledge Maturing in Organisational Environments

Knowledge Science, Engineering and Management, Third International Conference, KSEM 2009, Karagiannis, D., Jinpeng, Z., Springer, 2009

Konferenz
The changes in the dynamics of the economy and thecorresponding mobility and fluctuations of knowledge workers within organizationsmake continuous social learning an essential factor for an organization.Within the underlying organizational processes, KnowledgeMaturing refers to the the corresponding evolutionary process in whichknowledge objects are transformed from informal and highly contextualizedartifacts into explicitly linked and formalized learning objects.In this work, we will introduce a definition of Knowledge (Maturing)Services and will present a collection of sample services that can be dividedinto service functionality classes supporting Knowledge Maturingin content networks. Furthermore, we developed an application of thesesample services, a demonstrator which supports quality assurance withina highly content based organisational context.
2009

Lindstaedt Stefanie , de Hoog R., Aehnelt M.

APOSDLE: Contextualized Collaborative Knowledge Work Support

Supplementary Proceedings of the 11th European Conference on Computer Supported Cooperative Work, Demos, Videos, Posters, Vienna, Austria, 7 - 11 September 2009, 2009

Konferenz
This contribution shortly introduces the collaborative APOSDLE environmentfor integrated knowledge work and learning. It proposes a video presentation and thepresentation of the third APOSDLE prototype.
2009

Shahzad S., Granitzer Michael

Designing User Interfaces through Ontological User Models

Proceedings of the Fourth International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2009, Seoul, Korea, IEEE Computer Society, 2009

Konferenz
2009

Afzal M. T., Latif A., Us Saeed A., Sturm P., Aslam S., Andrews K., Maurer H.

Discovery and Visualization of Expertise in a Scientific Community

Proceedings of the International Conference on Frontiers of Information Technology (FIT 2009), 2009

Konferenz
In numerous contexts and environments, it is necessary to identify and assign (potential) experts to subject fields. In the context of an academic journal for computer science (J.UCS), papers and reviewers are classified using the ACM classification scheme. This paper describes a system to identify and present potential reviewers for each category from the entire body of paper’s authors. The topical classification hierarchy is visualized as a hyperbolic tree and currently assigned reviewers are listed for a selected node (computer science category). In addition, a spiral visualization is used to overlay a ranked list of further potential reviewers (high-profile authors) around the currently selected category. This new interface eases the task of journal editors in finding and assigning reviewers. The system is also useful for users who want to find research collaborators in specific research areas.
2009

Zechner Mario, Granitzer Michael

A Competitive Learning Approach to Instance Selection for Support Vector Machines

To appear in: Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management, 2009

Konferenz
2009

Kern Roman, Juffinger A., Granitzer Michael

Application of Axiomatic Approaches to Crosslanguage Retrieval

Working Notes for the CLEF 2009 Workshop, 2009

Konferenz
2009

Bornemann M., Hofer-Alfeis J., Dückert S., Thurner-Scheuerer Claudia, Kraus P.

D-A-CH Wissensmanagement Glossar Version 1.0

Online, 2009

Konferenz
2009

Lex Elisabeth, Granitzer Michael, Juffinger A.

Know-Center at TREC 2009 Blog Distillation Task: A Notebook Paper

Notebook of TREC 2009, 2009

Konferenz
2009

Kröll Mark

Studying Databases of Intentions: Do Search Query Logs Capture Knowledge about Common Human Goals?

The Fifth International Conference on Knowledge Capture (K-CAP'09), 2009

Konferenz
2009

Kröll Mark, Koerner C.

Automatically Annotating Textual Resources with Human Intentions

Hypertext 2009, 20th ACM Conference on Hypertext and Hypermedia (HT'09), 2009

Konferenz
2009

Wermelinger M., Yu Y., Strohmaier M.

Using Formal Concept Analysis to Construct and Visualise Hierarchies of Software Developers

International Conference on Software Engineering, Vancouver (ICSE'09), 2009

Konferenz
2009

Kröll Mark, Strohmaier M.

Extracting Human Goals from Weblogs

Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML) 2009, 2009

Konferenz
2009

Strohmaier M., Wermelinger M., Yu Y.

Using Network Properties to Study Congruence of Software Dependencies and Maintenance

2nd International Workshop on Socio-Technical Congruence STC'09, 2009

Konferenz
2009

Körner C., Kröll Mark, Strohmaier M.

Intentional Query Suggestion: Making User Goals More Explicit During Search

Workshop on Web Search Click Data WSCD'09, 2009

Konferenz
2009

Maurer H.

Proceedings of I-KNOW '09 and I-SEMANTICS '09

Proceedings, 2009

Konferenz
2009

Schachner W., Stocker A.

CWeb 2.0 Profile-Map: Ein Schema zur Beschreibung und Kategorisierung für Business-Cases im Corporate Web 2.0

Tagungsband der Konferenz Gemeinschaften in Neuen Medien (GENEME 09), 2009

Konferenz
2009

Rath Andreas S., Devaurs Didier, Lindstaedt Stefanie

Contextualized Knowledge Services for Personalized Learner Support

Fourth European Conference on Technology Enhanced Learning. Demo Paper. Lecture Notes in Computer Science. Springer, 2009

Konferenz
In this demonstration we present our KnowSe framework,developed for observing, storing, analyzing and leveraging ContextualAttention Metadata, utilizing our ontology-based user interactions contextmodel (UICO). It includes highly contextualized knowledge servicesfor supporting learners in a personalized and adaptive way, by exploitingthe learner’s user context.
2009

Lex Elisabeth, Juffinger A.

Crosslanguage Blog Mining and Trend Visualisation

Proceedings of the 18th World Wide Web Conference, 2009

Konferenz
People use weblogs to express thoughts, present ideas and share knowledge, therefore weblogs are extraordinarily valuable resources, amongs others, for trend analysis. Trends are derived from the chronological sequence of blog post count per topic. The comparison with a reference corpus allows qualitative statements over identified trends. We propose a crosslanguage blog mining and trend visualisation system to analyse blogs across languages and topics. The trend visualisation facilitates the identification of trends and the comparison with the reference news article corpus. To prove the correctness of our system we computed the correlation between trends in blogs and news articles for a subset of blogs and topics. The evaluation corroborated our hypothesis of a high correlation coefficient for these subsets and therefore the correctness of our system for different languages and topics is proven.
2009

Muhr M., Granitzer Michael

Automatic Cluster Number Selection using a Split and Merge K-Means Approach

6th International Workshop on Text-based Information Retrieval in Procceedings of 20th International Conference on Database and Expert Systems Applications (DEXA 09), IEEE Computer Society, 2009

Konferenz
2009

Granitzer Michael, Lex Elisabeth, Juffinger A.

Blog Credibility Ranking by Exploiting Verified Content

Proceedings of the 3rd Workshop on Information Credibility on the Web at 18th World Wide Web Conference, 2009

Konferenz
People use weblogs to express thoughts, present ideas and share knowledge. However, weblogs can also be misused to influence and manipulate the readers. Therefore the credibility of a blog has to be validated before the available information is used for analysis. The credibility of a blogentry is derived from the content, the credibility of the author or blog itself, respectively, and the external references or trackbacks. In this work we introduce an additional dimension to assess the credibility, namely the quantity structure. For our blog analysis system we derive the credibility therefore from two dimensions. Firstly, the quantity structure of a set of blogs and a reference corpus is compared and secondly, we analyse each separate blog content and examine the similarity with a verified news corpus. From the content similarity values we derive a ranking function. Our evaluation showed that one can sort out incredible blogs by quantity structure without deeper analysis. Besides, the content based ranking function sorts the blogs by credibility with high accuracy. Our blog analysis system is therefore capable of providing credibility levels per blog.
2009

Klieber Hans-Werner, Sabol Vedran, Kern Roman, Granitzer Michael, Muhr M., Ättl G.

Knowledge Discovery Using the Knowminer Framework

IADIS International Conference Information Systems 2009, 2009

Konferenz
2009

Lindstaedt Stefanie , Ghidini C., Kump Barbara, Mahbub N., Pammer-Schindler Viktoria, Rospocher M., Serafini L.

MoKi: The Enterprise Modelling Wiki

The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC 2009, Heraklion, Crete, Greece, May 31-June 4, 2009, Proceedings, Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M. & Simperl, E. P. B., Springer, 2009

Konferenz
Enterprise modelling focuses on the construction of a structureddescription, the so-called enterprise model, which represents aspectsrelevant to the activity of an enterprise. Although it has becomeclearer recently that enterprise modelling is a collaborative activity, involvinga large number of people, most of the enterprise modelling toolsstill only support very limited degrees of collaboration. Within thiscontribution we describe a tool for enterprise modelling, called MoKi(MOdelling wiKI), which supports agile collaboration between all differentactors involved in the enterprise modelling activities. MoKi is basedon a Semantic Wiki and enables actors with different expertise to developan enterprise model not only using structural (formal) descriptions butalso adopting more informal and semi-formal descriptions of knowledge.
2009

Ley Tobias, Kump Barbara, Maiden N., Albert D., Maas A.

Evaluating the Adaptation of a Learning System when the Prototype is not Ready: A Paper-based Lab Study

User Modelling, Adaptation, and Personalization 17th International Conference UMAP 2009, Houben, G., McCalla, G., Pianesi, F., Zancanaro, M., Springer, 2009

Konferenz
2009

Granitzer Michael, Stocker A.

Can Intra-Organizational Wikis Facilitate Knowledge Transfer and Learning? An Explorative Case Study

Proceedings of eLBa - eLearning Baltics 2009, 2009

Konferenz
2009

Krasser N., Stocker A.

Wissenstransfer mit Weblogs in KMU: Eine explorative Einzelfallstudie

Proceedings of the 5th Conference of Professional Knowledge Management, Solothurn, Schweiz, 2009

Konferenz
2009

Sabol Vedran, Kienreich Wolfgang, Klieber Hans-Werner, Granitzer Michael, Muhr M.

Visual Knowledge Discovery in Dynamic Enterprise Text Repositories

Proceedings of the 13th International Conference on Information Visualisation (IV09), IEEE Computer Society, 2009

Konferenz
2009

Sabol Vedran, Kienreich Wolfgang

Visualizing Temporal Changes in Information Landscapes

Poster and Demo at the EuroVis 2009, 2009

Konferenz
2009

Granitzer Michael, Zechner Mario, Seifert C.

Context based Wikipedia Linking

Advances in Focused Retrieval 7th International Workshop of the Initiative for the Evaluation of XML Retrieval (INEX 2008), Geva, S., Kamps, J., Trotman, A., Springer, 2009

Konferenz
2009

Lex Elisabeth, Seifert C.

A Novel Visualization Approach for Data-Mining-Related Classi?cation

Proceedings of the 13th International Conference on Information Visualisation (IV09), IEEE Computer Society, 2009

Konferenz
2009

Kienreich Wolfgang

Visual Analysis of Public Discourse on Environmental Issues

Proceedings of the NATO Advanced Research Workshop on Geographical Information Processing and Visual Analytics for Environmental Security, De Amicis, R., Stojanovic, R., Conti, G., Springer NATO Science for Peace and Security Series , 2009

Konferenz
2009

Lindstaedt Stefanie , Rath Andreas S., Devaurs Didier

UICO: An Ontology-Based User Interaction Context Model for Automatic Task Detection on the Computer Desktop

Proceedings of the Context Information and Ontology (CIAO2009) workshop as part of the ESWC 2009, Gomez-Perez, J. M., Haase, P., Tilly, M., Warren, P., ACM, 2009

Konferenz
‘Understanding context is vital’ [1] and ‘context is key’ [2]signal the key interest in the context detection field. Oneimportant challenge in this area is automatically detectingthe user’s task because once it is known it is possible tosupport her better. In this paper we propose an ontologybaseduser interaction context model (UICO) that enhancesthe performance of task detection on the user’s computerdesktop. Starting from low-level contextual attention metadatacaptured from the user’s desktop, we utilize rule-based,information extraction and machine learning approaches toautomatically populate this user interaction context model.Furthermore we automatically derive relations between themodel’s entities and automatically detect the user’s task.We present evaluation results of a large-scale user study wecarried out in a knowledge-intensive business environment,which support our approach.
2009

Lindstaedt Stefanie , Christl C., Kump Barbara

Die gezielte Nutzung innerbetrieblicher Ressourcen für effektiven Kompetenztransfer

Proceedings of the Professional Training Facts conference held at Stuttgart, Germany, 11-12 November 2008 (Electronic Proceedings, CD Rom), Dworschak, B., Karapidis, A., Stuttgart: Fraunhofer-IRB-Verlag, 2009

Konferenz
Die nachhaltige Stärkung der Wettbewerbsfähigkeit von Unternehmen bedarf gezielten Wissens-und Kompetenzmanagements und strategischer Weiterentwicklungskonzepte. Der vorliegende Beitrag analysiert die gegenwärtige Situation betrieblicher Weiterbildung in kleinen und mittelständischen Unternehmen (KMU) und identifiziert eine Reihe von Herausforderungen. Computergestütztes arbeitsintegriertes Lernen wird als eine Möglichkeit vorgeschlagen, diesen Herausforderungen zu begegnen. Es werden Ergebnisse einer von uns durchgeführten Studie zu Merkmalen arbeitsintegrierten Lernens präsentiert und ein arbeitsintegriertes Lernsystem, APOSDLE, wird vorgestellt.
2009

Rath Andreas S., Devaurs Didier, Lindstaedt Stefanie

KnowSe: Fostering User Interaction Context Awareness

Supplementary Proceedings of the 11th European Conference on Computer Supported Cooperative Work (ECSCW '09). Demo Paper, 2009

Konferenz
2009

Latif A., Höfler Patrick, Us Saeed A., Wagner C., Stocker A.

The Linked Data Value Chain: A Lightweight Model for Business Engineers

Conference Proceedings of I-SEMANTICS '09, Paschke, A., Weigand, H., Behrendt, W., Tochtermann, K., Pellegrini, T. , Verlag der Technischen Universität Graz, 2009

Konferenz
2009

Granitzer M., Kienreich Wolfgang, Sabol Vedran, Augustin A.

Taxonomy Extraction from German Encyclopedic Texts

In Proceedings of the Malaysian Joint Conference on Artificial Intelligence 2009, Kuala Lumpur, Malaysia, 2009

Konferenz
2009

Lindstaedt Stefanie , Rospocher M., Ghidini C., Pammer-Schindler Viktoria, Serafini L.

MoKi: the Modelling wiKi

Proceedings of the Forth Semantic Wiki Workshop (SemWiki 2009), co-located with 6th European Semantic Web Conference (ESWC 2009), CEUR Workshop Proceedings, 2009

Konferenz
Enterprise modelling focuses on the construction of a structureddescription of relevant aspects of an enterprise, the so-called enterprisemodel. Within this contribution we describe a wiki-based tool forenterprise modelling, called MoKi (Modelling wiKi). It specifically facilitatescollaboration between actors with different expertise to develop anenterprise model by using structural (formal) descriptions as well as moreinformal and semi-formal descriptions of knowledge. It also supports theintegrated development of interrelated models covering different aspectsof an enterprise.
2009

Lindstaedt Stefanie , Pammer V., Kump Barbara, Ghidini C., Rospocher M., Serafini L.

Revision support for modeling tasks, topics and skills

Proceedings of I-SEMANTICS ’09, 5th International Conference on Semantic Systems, Paschke, A., Weigand, H., Behrendt, W., Tochtermann, K., Pellegrini, T., 2009

Konferenz
Whatever purpose models are created for, they need to be evaluated inorder to ensure that they will serve their intended use. Unfortunately, model evaluationis a significant effort and no standard clear-cut evaluation methodology exists today.In this work we introduce our approach of distributing the evaluation effort over thewhole modeling process. This is achieved by providing (partly automated) feedbackon the models in different stages of development. We illustrate our approach based onthe specific goal of modeling tasks, topics and skills for the adaptive work-integratedlearning system APOSDLE.
2009

Lindstaedt Stefanie , Beham Günter, Ley Tobias, Kump Barbara

Getting to Know Your User: Unobtrusive User Model Maintenance within Work-Integrated Learning Environments

Learning in the Synergy of Multiple Disciplines: Proceedings of the 4th European Conference on Technology Enhanced Learning, ECTEL 2009, Nice, France, September/October 2009 , Cress, U., Dimitrova, V., Specht, M., Springer, 2009

Konferenz
Work-integrated learning (WIL) poses unique challenges for usermodel design: on the one hand users’ knowledge levels need to be determinedbased on their work activities – testing is not a viable option; on the other handusers do interact with a multitude of different work applications – there is nocentral learning system. This contribution introduces a user model and correspondingservices (based on SOA) geared to enable unobtrusive adaptabilitywithin WIL environments. Our hybrid user model services interpret usage datain the context of enterprise models (semantic approaches) and utilize heuristics(scruffy approaches) in order to determine knowledge levels, identify subjectmatter experts, etc. We give an overview of different types of user model services(logging, production, inference, control), provide a reference implementationwithin the APOSDLE project, and discuss early evaluation results.
2009

Köck Anna Maria, Willfort R., Ulbrich Armin, Vallant O.

Development of an Empirically Grounded Environment for Virtual Innovation and Creativity

Proceedings of the 20th ISPIM-Conference "The Future of Innovation", Huizingh, E., Torkkeli, M., Conn, S., Bitran, I., Lappeenranta University of Technology Press, 2009

Konferenz
2009

Rath Andreas S., Devaurs Didier, Lindstaedt Stefanie

Detecting Real User Tasks by Training on Laboratory Contextual Attention Metadata

Proceedings of Exploitation User Attention Metadata (EUAM '09) held at Informatik '09, 2009

Konferenz
Detecting the current task of a user is essential for providing her with contextualizedand personalized support, and using Contextual Attention Metadata (CAM)can help doing so. Some recent approaches propose to perform automatic user task detectionby means of task classifiers using such metadata. In this paper, we show thatgood results can be achieved by training such classifiers offline on CAM gathered inlaboratory settings. We also isolate a combination of metadata features that present asignificantly better discriminative power than classical ones.
2009

Weber Nicolas, Ley Tobias, Lindstaedt Stefanie , Schoefegger K., Bimrose J., Brown A., Barnes S.

Knowledge Maturing in the Semantic MediaWiki: A design study in career guidance

Lecture Notes in Computer Science 5794, Cress, U., Dimitrova, V., Specht, M., Springer, 2009

Konferenz
2009

Latif A., Afzal M. T., Us Saeed A., Höfler Patrick

CAF-SIAL: Concept Aggregation Framework for Structuring Informational Aspects of Linked Open Data

Proceedings of the First International Conference on Networked Digital Technologies (NDT 2009), 2009

Konferenz
2009

Das Web der Zukunft

Computerwelt, 2009

Konferenz
2009

Stocker A.

Exploring the Value of Enterprise Wikis: A Multiple-Case Study

Proceedings of International Conference on Knowledge Management and Information Sharing (KMIS), 2009

Konferenz
2009

Lex Elisabeth, Seifert C.

A Visualization to Investigate and Give Feedback to Classifiers

Poster and Demo at the EuroVis 2009, 2009

Konferenz
2009

Willfort R., Lex Elisabeth, Granitzer Michael, Juffinger A.

Spectral Web Content Trend Analysis

Proc. of IADIS International Conference WWW/Internet, 2009

Konferenz
2009

Lindstaedt Stefanie , Kieslinger Barbara

Science 2.0 practices in the field of technology enhanced learning

Workshop on Science 2.0 in Technology Enhanced Learning, in con-junction with European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines, 2009

Konferenz
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