Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2010

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

Harvesting Pertinent Resources from Linked Open Data

Journal of Digital Information Management, 2010

Konferenz
Linked Open Data (LOD) is becoming an essentialpart of the Semantic Web. Although LOD has amassed largequantities of structured data from diverse, openly availabledata sources, there is still a lack of user-friendly interfaces andmechanisms for exploring this huge resource. In this paper, wedescribe a methodology for harvesting relevant information fromthe gigantic LOD cloud. The methodology is based on combinationof information: identification, extraction, integration andpresentation. Relevant information is identified by using a setof heuristics. The identified information resource is extracted byemploying an intelligent URI discovery technique. The extractedinformation is further integrated with the help of a Concept AggregationFramework. Then the information is presented to endusers in logical informational aspects. Thereby, the proposedsystem is capable of hiding complex underlying semantic mechanicsfrom end users and reducing the users’ cognitive loadin locating relevant information. In this paper, we describe themethodology and its implementation in the CAF-SIAL system,and compare it with the state of the art
2010

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

Automatic Support for Formative Ontology Evaluation

Poster & Demo Proceedings of the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010), 2010

Konferenz
Just as testing is an integral part of software engineering, so is ontologyevaluation an integral part of ontology engineering. We haveimplemented automated support for formative ontology evaluationbased on the two principles of i) checking for compliance withmodelling guidelines and ii) reviewing entailed statements in MoKi,a wiki based ontology engineering environment. These principlesexist in state of the art literature and good ontology engineering andevaluation practice, but have not so far been widely integrated intoontology engineering tools.
2010

Stocker A.

Nutzung schafft Erfolg im Enterprise 2.0: Eine empirische Analyse

Tagungsband zum Workshop "Soziotechnische Integration? Bottom Up? Simplicity? Was sind die Erfolgstreiber von Enterprise 2.0" im Rahmen der Konferenz Mensch und Computer 2010, 2010

Konferenz
2010

Lindstaedt Stefanie , Kraker Peter, Höfler Patrick, Fessl Angela

Feeding TEL: Building an Ecosystem Around BuRST to Convey Publication Metadata

Research 2.0 Workshop EC-TEL 2010, 2010

Konferenz
In this paper we present an ecosystem for the lightweight exchangeof publication metadata based on the principles of Web 2.0. At the heart of thisecosystem, semantically enriched RSS feeds are used for dissemination. Thesefeeds are complemented by services for creation and aggregation, as well aswidgets for retrieval and visualization of publication metadata. In twoscenarios, we show how these publication feeds can benefit institutions,researchers, and the TEL community. We then present the formats, services,and widgets developed for the bootstrapping of the ecosystem. We concludewith an outline of the integration of publication feeds with the STELLARNetwork of Excellence1 and an outlook on future developments.
2010

Beham Günter, Kump Barbara, Lindstaedt Stefanie , Ley Tobias

Recommending Knowledgeable People in a Work-Integrated Learning System

1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), 2010

Konferenz
According to studies into learning at work, interpersonal help seeking is the most important strategy of how people acquireknowledge at their workplaces. Finding knowledgeable persons, however, can often be difficult for several reasons. Expertfinding systems can support the process of identifying knowledgeable colleagues thus facilitating communication andcollaboration within an organization. In order to provide the expert finding functionality, an underlying user model is needed thatrepresents the characteristics of each individual user. In our article we discuss requirements for user models for the workintegratedlearning (WIL) situation. Then, we present the APOSDLE People Recommender Service which is based on anunderlying domain model, and on the APOSDLE User Model. We describe the APOSDLE People Recommender Service on thebasis of the Intuitive Domain Model of expert finding systems, and explain how this service can support interpersonal helpseeking at workplaces.
2010

Lindstaedt Stefanie , Beham Günter, Stern Hermann, Drachsler H., Bogers T., Vuorikari R., Verbert K., Duval E., Manouselis N., Friedrich M., Wolpers M.

dataTEL - Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning

1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Procedia Computer Science, Elsevier, 2010

Konferenz
This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning that can be used asbenchmarks to compare different recommendation approaches. It discusses how suitable data sets could be created according tosome initial suggestions, and investigates a number of steps that may be followed in order to develop reference data sets that willbe adopted and reused within a scientific community. In addition, policies are discussed that are needed to enhance sharing ofdata sets by taking into account legal protection rights. Finally, an initial elaboration of a representation and exchange format forsharable TEL data sets is carried out. The paper concludes with future research needs.
2010

Lindstaedt Stefanie , Kump Barbara, Beham Günter, Pammer-Schindler Viktoria, Ley Tobias, de Hoog R., Dotan A.

Providing Varying Degrees of Guidance for Work-Integrated Learning

Sustaining TEL: From Innovation to Learning and Practice, Proceedings of EC-TEL 2010, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

Konferenz
We present a work-integrated learning (WIL) concept which aims atempowering employees to learn while performing their work tasks. Withinthree usage scenarios we introduce the APOSDLE environment whichembodies the WIL concept and helps knowledge workers move fluidly alongthe whole spectrum of WIL activities. By doing so, they are experiencingvarying degrees of learning guidance: from building awareness, over exposingknowledge structures and contextualizing cooperation, to triggering reflectionand systematic competence development. Four key APOSDLE components areresponsible for providing this variety of learning guidance. The challenge intheir design lies in offering learning guidance without being domain-specificand without relying on manually created learning content. Our three monthsummative workplace evaluation within three application organizationssuggests that learners prefer awarenss building functionalities and descriptivelearning guidance and reveals that they benefited from it.
2010

Stern Hermann, Ulbrich Armin, Pammer-Schindler Viktoria, Lindstaedt Stefanie , Pistore M., Bertoli P.

Message Filtering Based On Mobile User Context

Proceedings of the Second Workshop on Context, Information and Ontologies, Ermolayev, V., Gomez-Perez, J.M., Haase, P., Warren, P. , Workshop at Knowledge Engineering and Knowledge Management (EKAW) 2010, Lisbon, Portugal, October 11, 2010, 2010

Konferenz
We present an on-going research activity that aims to use mobilecontext-based reasoning for creating personalised messages filtering.
2010

Stern Hermann, Lindstaedt Stefanie , Beham Günter

APOSDLE-DS - A Dataset from the APOSDLE Work- integrated Learning System

1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), 2010

Konferenz
2010

Anna Maria Köck, Kajmakoska B., Willfort R.

Computer-based Solutions for Open Innovation Processes

Proceedings of the 4th International Conference on Mass Customization and Personalization in Central Europe, 2010

Konferenz
2010

Lindstaedt Stefanie , Weber Nicolas, Schoefegger K., Nelkner T.

SIMPLE - a social interactive mashup PLE

CEUR Workshop proceedings series, Proceedings of the Third International Workshop on Mashup Personal Learning Environments (MUPPLE09), in conjunction with the 5th European Conference on Technology Enhanced Learning (EC-TEL2010), Wild, F., Kalz, M., Palmér, M., Müller, D., 2010

Konferenz
This paper presents an approach for a mashup PLE especiallydesigned for the interactive and social context of work-integratedlearning (WIL). The mashup PLE consists of a freely configurable set ofwidgets, whose functionalities are based on a framework of five activityclasses to actively support informal learning in a social environment. Wepresent an exemplary implementation of desktop widgets for each of theclasses. Based on the evaluation of the widget framework we highlightfuture research directions for designing PLEs in the context of WIL.
2010

Kern Roman, Granitzer Michael, Muhr M.

KCDC: Word Sense Induction by Using Grammatical Dependencies and Sentence Phrase Structure

Proceedings of SemEval-2, 2010

Konferenz
Word sense induction and discrimination(WSID) identifies the senses of an ambiguousword and assigns instances of thisword to one of these senses. We have builda WSID system that exploits syntactic andsemantic features based on the results ofa natural language parser component. Toachieve high robustness and good generalizationcapabilities, we designed our systemto work on a restricted, but grammaticallyrich set of features. Based on theresults of the evaluations our system providesa promising performance and robustness.
2010

Kienreich Wolfgang, Seifert C.

An Application of Edge Bundling Techniques to the Visualization of Media Analysis Results

IV2010: International Conference on Information Visualization, IEEE Computer Society Press, 2010

Konferenz
The advent of consumer-generated and socialmedia has led to a continuous expansion and diversificationof the media landscape. Media consumers frequently findthemselves assuming the role of media analysts in order tosatisfy personal information needs. We propose to employKnowledge Visualization methods in support of complex mediaanalysis tasks. In this paper, we describe an approach whichdepicts semantic relationships between key political actorsusing node-link diagrams. Our contribution comprises a forcedirectededge bundling algorithm which accounts for semanticproperties of edges, a technical evaluation of the algorithmand a report on a real-world application of the approach. Theresulting visualization fosters the identification of high-leveledge patterns which indicate strong semantic relationships. Ithas been published by the Austrian Press Agency APA in 2009.
2010

Kern Roman, Granitzer Michael

German Encyclopedia Alignment Based on Information Retrieval Techniques

ECDL 2010: Research and Advanced Technology for Digital Libraries, 2010

Konferenz
Collaboratively created online encyclopedias have becomeincreasingly popular. Especially in terms of completeness they have begunto surpass their printed counterparts. Two German publishers oftraditional encyclopedias have reacted to this challenge and decided tomerge their corpora to create a single more complete encyclopedia. Thecrucial step in this merge process is the alignment of articles. We havedeveloped a system to identify corresponding entries from different encyclopediccorpora. The base of our system is the alignment algorithmwhich incorporates various techniques developed in the field of informationretrieval. We have evaluated the system on four real-world encyclopediaswith a ground truth provided by domain experts. A combinationof weighting and ranking techniques has been found to deliver a satisfyingperformance.
2010

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

External and Intrinsic Plagiarism Detection using a Cross-Lingual Retrieval and Segmentation System Lab Report for PAN at CLEF 2010

2nd International Competition on Plagiarism Detection, 2010

Konferenz
We present our hybrid system for the PAN challenge at CLEF 2010.Our system performs plagiarism detection for translated and non-translated externallyas well as intrinsically plagiarized document passages. Our external plagiarismdetection approach is formulated as an information retrieval problem, usingheuristic post processing to arrive at the final detection results. For the retrievalstep, source documents are split into overlapping blocks which are indexed via aLucene instance. Suspicious documents are similarly split into consecutive overlappingboolean queries which are performed on the Lucene index to retrieve aninitial set of potentially plagiarized passages. For performance reasons queriesmight get rejected via a heuristic before actually being executed. Candidate hitsgathered via the retrieval step are further post-processed by performing sequenceanalysis on the passages retrieved from the index with respect to the passagesused for querying the index. By applying several merge heuristics bigger blocksare formed from matching sequences. German and Spanish source documentsare first translated using word alignment on the Europarl corpus before enteringthe above detection process. For each word in a translated document severaltranslations are produced. Intrinsic plagiarism detection is done by finding majorchanges in style measured via word suffixes after the documents have been partitionedby an linear text segmentation algorithm. Our approach lead us to the thirdoverall rank with an overall score of 0.6948.
2010

Sabol Vedran, Syed K. A. A., Scharl A., Hubmann-Haidvogel A., Muhr M.

Incremental Computation of Information Landscapes for Dynamic Web Interfaces

Proceedings of the 10th Brazilian Symposium on Human Factors in Computer Systems , 2010

Konferenz
2010

Sabol Vedran, Granitzer Michael, Muhr M.

Scalable Recursive Top-Down Hierarchical Clustering Approach with implicit Model Selection for Textual Data Sets

IEEE Computer Society: 7th International Workshop on Text-based Information Retrieval in Procceedings of 21th International Conference on Database and Expert Systems Applications (DEXA 10)., IEEE, 2010

Konferenz
Automatic generation of taxonomies can be usefulfor a wide area of applications. In our application scenario atopical hierarchy should be constructed reasonably fast froma large document collection to aid browsing of the data set.The hierarchy should also be used by the InfoSky projectionalgorithm to create an information landscape visualizationsuitable for explorative navigation of the data. We developedan algorithm that applies a scalable, recursive, top-downclustering approach to generate a dynamic concept hierarchy.The algorithm recursively applies a workflow consisting ofpreprocessing, clustering, cluster labeling and projection into2D space. Besides presenting and discussing the benefits ofcombining hierarchy browsing with visual exploration, we alsoinvestigate the clustering results achieved on a real world dataset.
2010

Lex Elisabeth, Khan I., Bischof H., Granitzer Michael

Assessing the Quality of Web Content

Proceedings of the ECML/PKDD Discovery Challenge 2010, Online, 2010

Konferenz
2010

Seifert C., Granitzer Michael

User-based active learning

International Conference on Data Mining Workshops (Workshop on Visual Analytics and Knowledge Discovery), Fan, W., Hsu, W.,Webb, G. I., Liu, B., Zhang, C., Gunopulos, D., Wu, X., IEEE, 2010

Konferenz
Active learning has been proven a reliable strategyto reduce manual efforts in training data labeling. Suchstrategies incorporate the user as oracle: the classifier selectsthe most appropriate example and the user provides the label.While this approach is tailored towards the classifier, moreintelligent input from the user may be beneficial. For instance,given only one example at a time users are hardly ableto determine whether this example is an outlier or not. Inthis paper we propose user-based visually-supported activelearning strategies that allow the user to do both, selectingand labeling examples given a trained classifier. While labelingis straightforward, selection takes place using a interactivevisualization of the classifier’s a-posteriori output probabilities.By simulating different user selection strategies we show,that user-based active learning outperforms uncertainty basedsampling methods and yields a more robust approach ondifferent data sets. The obtained results point towards thepotential of combining active learning strategies with resultsfrom the field of information visualization.
2010

Granitzer Michael, Kienreich Wolfgang, Sabol Vedran, Lex Elisabeth

Knowledge Relationship Discovery and Visually Enhanced Access for the Media Domain

Medien-Wissen-Bildung. Explorationen visualisierter und kollaborativer Wissensräume, Innsbruck University Press, 2010

Konferenz
Technological advances and paradigmatic changes in the utilization of the World Wide Web havetransformed the information seeking strategies of media consumers and invalidated traditionalbusiness models of media providers. We discuss relevant aspects of this development and presenta knowledge relationship discovery pipeline to address the requirements of media providers andmedia consumers. We also propose visually enhanced access methods to bridge the gap betweencomplex media services and the information needs of the general public. We conclude that acombination of advanced processing methods and visualizations will enable media providers totake the step from content-centered to service-centered business models and, at the same time,will help media consumers to better satisfy their personal information needs.
2010

Duval Erik, Ullman Thomas Daniel, Wild Fridolin, Lindstaedt Stefanie , Scott Peter

Research 2.0 for TEL: four challenges

Proceedings of the 2nd International Workshop on Research 2.0. At the 5th European Conference on Technology-Enhanced Learning: Sustaining TEL, 2010

Konferenz
2010

Shahzad Syed K., Granitzer Michael

Ontological Framework Driven GUI Development

Proceedings of I-KNOW, 2010

Konferenz
The user experience of any software or website consists of elements from theconceptual to the concrete level. These elements of user experience assist in the design anddevelopment of user interfaces. On the other hand, Ontologies provide a framework forcomputable representation of user interface elements and underlying data. This paper discussesstrategies of introducing ontologies at different user interface layers adapted from userexperience elements. These layers range from abstract levels (e.g. User needs/ApplicationObjectives) to concrete levels (e.g. Application User Interface) in term of data representation.The proposed ontological framework enables device independent, semi-automated GUIconstruction which we will demonstrate at a personal information management example.
2010

Stocker A., Reicht T.

Nutzbarkeit, Nutzungsmotivation, Nutzung und Mehrwert von Offenen Sozialen Netzwerken: Eine Befragung der Nutzer von StudiVZ

Tagungsband des Workshops Gemeinschaften in Neuen Medien, 2010

Konferenz
2010

Sabol Vedran, Granitzer Michael, Seifert C.

Classifier Hypothesis Generation Using Visual Analysis Methods

NDT: Networked Digital Technologies, Springer, 2010

Konferenz
Classifiers can be used to automatically dispatch the abundanceof newly created documents to recipients interested in particulartopics. Identification of adequate training examples is essential forclassification performance, but it may prove to be a challenging task inlarge document repositories. We propose a classifier hypothesis generationmethod relying on automated analysis and information visualisation.In our approach visualisations are used to explore the document sets andto inspect the results of machine learning methods, allowing the user toassess the classifier performance and adapt the classifier by graduallyrefining the training set.
2010

Lirk G., Granitzer Michael, Söhnnichsen A., Kulczycki P.

Wissensmanagement in EBM

EbM - ein Gewinn für die Arzt-Patient-Beziehung?. Forum Medizin 21 der Paracelsus Medizinischen Privatuniversität & 11. EbM-Jahrestagung des Deutschen Netzwerks Evidenzbasierte Medizin, German Medical Science GMS Publishing House, 2010

Konferenz
2010

Lex Elisabeth, Granitzer Michael, Juffinger A.

Objectivity Classification in Online Media

21st ACM SIGWEB Conference on Hypertext and Hypermedia (HT2010), ACM, 2010

Konferenz
In this work, we assess objectivity in online news media. Wepropose to use topic independent features and we show ina cross-domain experiment that with standard bag-of-wordmodels, classifiers implicitly learn topics. Our experimentsrevealed that our methodology can be applied across differenttopics with consistent classification performance.
2010

Granitzer Michael

Adaptive Term Weighting through Stochastic Optimization

11th International Conference, CICLing 2010, Iasi, Romania, March 22-25, 2010, Gelbukh, A., Springer, 2010

Konferenz
Term weighting strongly influences the performance of text miningand information retrieval approaches. Usually term weights are determined throughstatistical estimates based on static weighting schemes. Such static approacheslack the capability to generalize to different domains and different data sets. Inthis paper, we introduce an on-line learning method for adapting term weightsin a supervised manner. Via stochastic optimization we determine a linear transformationof the term space to approximate expected similarity values amongdocuments. We evaluate our approach on 18 standard text data sets and showthat the performance improvement of a k-NN classifier ranges between 1% and12% by using adaptive term weighting as preprocessing step. Further, we provideempirical evidence that our approach is efficient to cope with larger problems
2010

Granitzer Michael, Kienreich Wolfgang

Semantische Technologien: Stand der Forschung und Visionen

Internationales Rechtsinformatik Symposion (IRIS 10), OCG, 2010

Konferenz
2010

Lex Elisabeth, Granitzer Michael, Juffinger A.

Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task

Proceedings of the 18th Text REtrieval Conference, 2010

Konferenz
In this paper, we outline our experiments carried out at the TREC 2009 Blog Distillation Task. Our system is based on a plain text index extracted from the XML feeds of the TREC Blogs08 dataset. This index was used to retrieve candidate blogs for the given topics. The resulting blogs were classified using a Support Vector Machine that was trained on a manually labelled subset of the TREC Blogs08 dataset. Our experiments included three runs on different features: firstly on nouns, secondly on stylometric properties, and thirdly on punctuation statistics. The facet identification based on our approach was successful, although a significant number of candidate blogs were not retrieved at all.
2010

Lex Elisabeth, Granitzer Michael, Juffinger A., Muhr M.

Stylometric Features for Emotion Level Classification in News Related Blogs

Proceedings of the 9th ACM RIAO Conference , LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE, 2010

Konferenz
Breaking news and events are often posted in the blogospherebefore they are published by any media agency. Therefore,the blogosphere is a valuable resource for news-relatedblog analysis. However, it is crucial to first sort out newsunrelatedcontent like personal diaries or advertising blogs.Besides, there are different levels of emotionality or involvementwhich bias the news information to a certain extent.In our work, we evaluate topic-independent stylometric featuresto classify blogs into news versus rest and to assess theemotionality in these blogs. We apply several text classifiersto determine the best performing combination of featuresand algorithms. Our experiments revealed that with simplestyle features, blogs can be classified into news versus restand their emotionality can be assessed with accuracy valuesof almost 80%.
2010

Ley Tobias, Kump Barbara, Gerdenitsch C.

Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations

Conference on User Modeling, Adaptation and Personalization - UMAP 2010, Springer, 2010

Konferenz
Adaptive scaffolding has been proposed as an efficient means for supporting self-directed learning both in educational as well as in adaptive learning systems research. However, the effects of adaptation on self-directed learning and the differential contributions of different adaptation models have not been systematically examined. In this paper, we examine whether personalized scaffolding in the learning process improves learning. We conducted a controlled lab study in which 29 students had to solve several tasks and learn with the help of an adaptive learning system in a within-subjects control condition design. In the learning process, participants obtained recommendations for learning goals from the system in three conditions: fixed scaffolding where learning goals were generated from the domain model, personalized scaffolding where these recommendations were ranked according to the user model, and random suggestions of learning goals (control condition). Students in the two experimental conditions clearly outperformed students in the control condition and felt better supported by the system. Additionally, students who received personalized scaffolding selected fewer learning goals than participants from the other groups.
2010

Koerner C., Kern Roman, Grahsl H. P., Strohmaier M.

Of Categorizers and Describers: An Evaluation of Quantitative Measures for Tagging Motivation

21st ACM SIGWEB Conference on Hypertext and Hypermedia (HT2010), 2010

Konferenz
2010

Koerner C., Kern Roman, Strohmaier M.

Why do Users Tag? Detecting Users' Motivation for Tagging in Social Tagging Systems

4th International AAAI Conference on Weblogs and Social Media (ICWSM2010), 2010

Konferenz
2010

Kröll Mark, Strohmaier M.

Analyzing Human Intentions in Natural Language Text

The Fifth International Conference on Knowledge Capture (K-CAP'09), 2010

Konferenz
In this paper, we introduce the idea of Intent Analysis, which is to create a profile of the goals and intentions present in textual content. Intent Analysis, similar to Sentiment Analysis, represents a type of document classification that differs from traditional topic categorization by focusing on classification by intent. We investigate the extent to which the automatic analysis of human intentions in text is feasible and report our preliminary results, and discuss potential applications. Inaddition, we present results from a study that focused on evaluating intent profiles generated from transcripts of American presidential candidate speeches in 2008.
2010

Strohmaier M., Wagner C.

The Wisdom in Tweetonomies: Acquiring Latent Conceptual Structures from Social Awareness Streams

Semantic Search 2010 Workshop (SemSearch2010), 2010

Konferenz
2010

Lex Elisabeth, Granitzer Michael, Juffinger A.

A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs

IEEE Computer Society: 7th International Workshop on Text-based Information Retrieval in Procceedings of 21th International Conference on Database and Expert Systems Applications (DEXA 10)., IEEE, 2010

Konferenz
In the blogosphere, the amount of digital content is expanding and for search engines, new challenges have been imposed. Due to the changing information need, automatic methods are needed to support blog search users to filter information by different facets. In our work, we aim to support blog search with genre and facet information. Since we focus on the news genre, our approach is to classify blogs into news versus rest. Also, we assess the emotionality facet in news related blogs to enable users to identify people’s feelings towards specific events. Our approach is to evaluate the performance of text classifiers with lexical and stylometric features to determine the best performing combination for our tasks. Our experiments on a subset of the TREC Blogs08 dataset reveal that classifiers trained on lexical features perform consistently better than classifiers trained on the best stylometric features.
2010

Ley Tobias, Seitlinger Paul

A Cognitive Perspective on Emergent Semantics in Collaborative Tagging: The Basic Level Effect

International Workshop on Adaptation in Social and Semantic Web - SASWeb 2010, Cena, F., Dattolo, A., Kleanthous, S., Tasso, C., Vallejo, D. B., Vassileva, J. , CEUR Workshop Proceedings, 2010

Konferenz
Researching the emergence of semantics in social systems needs totake into account how users process information in their cognitive system. Wereport results of an experimental study in which we examined the interactionbetween individual expertise and the basic level advantage in collaborative tagging.The basic level advantage describes availability in memory of certain preferredlevels of taxonomic abstraction when categorizing objects and has beenshown to vary with level of expertise. In the study, groups of students taggedinternet resources for a 10-week period. We measured the availability of tags inmemory with an association test and a relevance rating and found a basic leveladvantage for tags from more general as opposed to specific levels of the taxonomy.An interaction with expertise also emerged. Contrary to our expectations,groups that spent less time to develop a shared understanding shifted tomore specific levels as compared to groups that spent more time on a topic. Weattribute this to impaired collaboration in the groups. We discuss implicationsfor personalized tag and resource recommendations.
2010

Halb W., Stocker A., Mayer H., Muelner H., Ademi I.

Towards a Commercial Adoption of Linked Open Data for Online Content Providers

Proceedings of 6th International Conference on Semantic Systems (I-SEMANTICS), 2010

Konferenz
2010

Wagner C., Scheir Peter, Halb W., Stocker A.

Usage Restricted Linked Open Data - Towards Solving the Dilemma of Content Providers

Proceedings of 6th International Conference on Semantic Systems (I-SEMANTICS), 2010

Konferenz
2010

Sabol Vedran, Kienreich Wolfgang, Seifert C.

Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualizations

European Symposium Visual Analytics Science and Technology (EuroVAST), 2010

Konferenz
2010

Sabol Vedran, Kienreich Wolfgang, Seifert C.

Integrating Node-Link-Diagrams and Information Landscapes: A Path-Finding Approach

Poster and Demo at EuroVis 2010, 2010

Konferenz
2010

Kern Roman, Granitzer Michael, Muhr M.

Analysis of Structural Relationships for Hierarchical Cluster Labeling

Proceeding of the 33rd international ACM SIGIR Conference on Research and Development in information Retrieval, ACM, 2010

Konferenz
Cluster label quality is crucial for browsing topic hierarchiesobtained via document clustering. Intuitively, the hierarchicalstructure should influence the labeling accuracy. However,most labeling algorithms ignore such structural propertiesand therefore, the impact of hierarchical structureson the labeling accuracy is yet unclear. In our work weintegrate hierarchical information, i.e. sibling and parentchildrelations, in the cluster labeling process. We adaptstandard labeling approaches, namely Maximum Term Frequency,Jensen-Shannon Divergence, χ2 Test, and InformationGain, to take use of those relationships and evaluatetheir impact on 4 different datasets, namely the Open DirectoryProject, Wikipedia, TREC Ohsumed and the CLEFIP European Patent dataset. We show, that hierarchicalrelationships can be exploited to increase labeling accuracyespecially on high-level nodes.
2010

Mueller J., Stocker A.

Enterprise Microblogging at Siemens, Building Technologies Division: A Descriptive Case Study

Proceedings of 10th International Conference on Knowledge Management and Knowledge Technologies (I-KNOW 2010), 2010

Konferenz
2010

Beham Günter, Jeanquartier Fleur, Lindstaedt Stefanie

iAPOSDLE - An Approach to Mobile Work-Integrated Learning

Sustaining TEL: From Innovation to Learning and Practice, Proceedings of EC-TEL 2010, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

Konferenz
This paper introduces iAPOSDLE, a mobile application enabling the use of work-integrated learning services without being limited by location. iAPOSDLE makes use of the APOSDLE WIL system for self-directed work-integrated learning support, and extends its range of application to mobile learning. Core features of iAPOSDLE are described and possible extensions are discussed.
2010

Koerner C., Benz D., Hotho A., Strohmaier M., Stumme G.

Social Bookmarking Systems: Verbosity Improves Semantics

International Sunbelt Social Network Conference, 2010

Konferenz
2010

Kern Roman, Koerner C., Strohmaier M.

Exploring the Influence of Tagging Motivation on Tagging Behavior

European Conference on Research and Advanced Technology for Digital Libraries , 2010

Konferenz
2010

Kraker Peter, Fessl Angela, Lindstaedt Stefanie , Ullmann T.D., Wild F., Scott P., Duval E., Vandeputte B., Parra G., Reinhardt W., Heinze N., Nagel T., Gillet D.

Components of a Research 2.0 Infrastructure

EC-TEL 2010: Fifth European Conference on Technology Enhanced Learning, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

Konferenz
In this paper, we investigate the components of a Research 2.0infrastructure. We propose building blocks and their concrete implementationto leverage Research 2.0 practice and technologies in our field, including apublication feed format for exchanging publication data, a RESTful API toretrieve publication and Web 2.0 data, and a publisher suit for refining andaggregating data. We illustrate the use of this infrastructure with Research 2.0application examples ranging from a Mash-Up environment, a mobile andmultitouch application, thereby demonstrating the strength of thisinfrastructure.
2010

Granitzer Michael, Lanthaler Markus, Gütl Christian

Semantic Web services: state of the art

Proceedings of the IADIS international conference-Internet technologies and society 2010, IADIS Press, 2010

Konferenz
Service-oriented architectures (SOA) built on Web services were a first attempt to streamline and automate business processes in order to increase productivity but the utopian promise of uniform service interface standards, metadata, and universal service registries, in the form of the SOAP, WSDL and UDDI standards has proven elusive. Furthermore, the RPC-oriented model of those traditional Web services is not Web-friendly. Thus more and more prominent Web service providers opted to expose their services based on the REST architectural style. Nevertheless there are still problems on formal describing, finding, and orchestrating RESTful services. While there are already a number of different approaches none so far has managed to break out of its academic confines. This paper focuses on an extensive survey comparing the existing state-of-the-art technologies for semantically annotated Web services as a first step towards a proposal designed specifically for RESTful services.
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