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

Stocker A., Müller J.

Siemens, Building Technologies Division auf dem Weg zum Enterprise 2.0

wissensmanagement - Das Magazin für Führungskräfte, 2010

Journal
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

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

Granitzer Michael, Sabol Vedran, Onn K., Lukose D.

Ontology Alignment - A Survey with Focus on Visually Supported Semi-Automatic Techniques

Future Internet, MDPI AG, 2010

Journal
2010

Schachner W.

Wissen steigert Unternehmensqualität

Wissensmanagement in der Praxis - Fokus Qualitätsmanagement, Shaker Verlag, 2010

Buch
2010

Schachner W.

Wissen wirkt in Prozessen

Wissensmanagement in der Praxis – Fokus Prozessmanagement, Shaker Verlag, 2010

Buch
2010

Schachner W.

Wissen schafft Projektperformance

Wissensmanagement in der Praxis - Fokus Projektmanagement, Shaker Verlag, 2010

Buch
2010

Köck Anna Maria

Enabling Innovation: Innovationsfähigkeit - deutsche und internationale Perspektiven

Sammelband "Enabling Innovation: Innovationsfähigkeit - deutsche und internationale Perspektiven", 2010

Buch
2010

Köck Anna Maria, 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

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

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

Stern Hermann, Kaiser Rene, Hofmair P., Lindstaedt Stefanie , Scheir Peter, Kraker Peter

Content Recommendation in APOSDLE using the Associative Network

Journal of Universal Computer Science, 2010

Journal
One of the success factors of Work Integrated Learning (WIL) is to provide theappropriate content to the users, both suitable for the topics they are currently working on, andtheir experience level in these topics. Our main contributions in this paper are (i) overcomingthe problem of sparse content annotation by using a network based recommendation approachcalled Associative Network, which exploits the user context as input; (ii) using snippets for notonly highlighting relevant parts of documents, but also serving as a basic concept enabling theWIL system to handle text-based and audiovisual content the same way; and (iii) using the WebTool for Ontology Evaluation (WTE) toolkit for finding the best default semantic similaritymeasure of the Associative Network for new domains. The approach presented is employed inthe software platform APOSDLE, which is designed to enable knowledge workers to learn atwork.
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

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

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

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

Schoefegger K., Seitlinger Paul, Ley Tobias

Towards a User Model for Personalized Recommendations in Work-Integrated Learning: A Report on an Experimental Study with a Collaborative Tagging System

Proceedings of 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Elsevier CS Procedia, 2010

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

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

Griesser Anita

Future Internet

Lexikon der Bibliotheks- und Informationswissenschaft, Anton Hiersemann Verlag, 2010

Buch
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

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

Pozzi, Francesca, Persico, Donatella, Fischer, Frank, Hofmann, Lena, Lindstaedt Stefanie , Cress, Ulrike, Rath Andreas S., Moskaliuk, Johannes, Weber, Nicolas, Kimmerle, Joachim, Devaurs Didier, Ney, Muriel, Gonçalves, Celso, Balacheff, Nicolas, Schwartz, Claudine, Bosson, Jean-Luc, Dillenbourg, Pierre, Jermann, Patrick, Zufferey, Guillaume, Brown, Elisabeth, Sharples, Mike, Windrum, Caroline, Specht, Marcus, Börner, Dirk, Glahn, Christian, Fiedler, Sebastian, Fisichella, Marco, Herder, Eelco, Marenzi, Ivana, Nejdl, Wolfgang, Kawese, Ricardo, Papadakis, George

D1.2 Trends in Connecting Learners. First Research & Technology Scouting Report

2010

In this first STELLAR trend report we survey the more distant future of TEL, as reflected in the roadmaps; we compare the visions with trends in TEL research and TEL practice. This generic overview is complemented by a number of small-scale studies, which focus on a specific technology, approach or pedagogical model.
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

Verbert Katrien, Duval Erik, Lindstaedt Stefanie , Gillet Denis

Context-aware recommender systems

Journal of Universal Computer Science, Springer, 2010

Journal
2010

Ullmann Thomas Daniel, Wild Fridolin, Scott Peter, Duval Erik, Parra G., Reinhardt W., Heinze N., Kraker Peter, Fessl Angela, Lindstaedt Stefanie , Nagel T., Gillet D.

A science 2.0 infrastructure for technology-enhanced learning

Computer Science Education, 2010

Journal
Science 2.0 is a rather young concept and despite its short historyalready induced numerous controversial positions, oscillating between newtechnologies and new practices. Even though many TEL researchers already useScience 2.0 tools, although not always labeled as such, there is no commonlyshared practice and tools in use. Within this paper, we investigate the conceptof Science 2.0 and propose an embracing definition. From there we investigateexisting practice with pilot studies and propose a framework for further indepthstudy and elicitation of Science 2.0 practices of technology-enhancedlearning researchers. Furthermore, we propose a mash-up architecture andconcrete infrastructure to leverage Science 2.0 practice and technologies in ourfield, including the proposal of a publication feed format, a retrieval API, andthe provision of an initial set of data sources and services. We illustrate the useof this infrastructure with several Science 2.0 application examples, therebydemonstrating the strength of this infrastructure and architecture.
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

Scheir Peter, Prettenhofer Peter, Lindstaedt Stefanie , Ghidini Chiara

An associative and adaptive network model for information retrieval in the Semantic Web

Progressive Concepts for Semantic Web Evolution: Applications and Developments, IGI Global, 2010

Buch
While it is agreed that semantic enrichment of resources would lead to better search results, at present the low coverage of resources on the web with semantic information presents a major hurdle in realizing the vision of search on the Semantic Web. To address this problem, this chapter investigates how to improve retrieval performance in settings where resources are sparsely annotated with semantic information. Techniques from soft computing are employed to find relevant material that was not originally annotated with the concepts used in a query. The authors present an associative retrieval model for the Semantic Web and evaluate if and to which extent the use of associative retrieval techniques increases retrieval performance. In addition, the authors present recent work on adapting the network structure based on relevance feedback by the user to further improve retrieval effectiveness. The evaluation of new retrieval paradigms - such as retrieval based on technology for the Semantic Web - presents an additional challenge since no off-the-shelf test corpora exist. Hence, this chapter gives a detailed description of the approach taken to evaluate the information retrieval service the authors have built.
2010

Dotan Amir, Maiden N., Lockerbie J., de Hoog Robert, Leemkuil Hendrik H., Ghidini C., Rospocher M., Lindstaedt Stefanie , Kump Barbara, Pammer-Schindler Viktoria, Faatz A., Zinnen A.

APOSDLE approach to self-directed work-integrated learning-APOSDLE Deliverable D2. 11

City University, 2010

2010

Lindstaedt Stefanie , Beham Günter, Aehnelt Mario, Hambach S., Musielak M., Kooken J.P., de Hoog Robert, Leemkuil Hendrik H.

APOSDLE approach to self-directed work-integrated learning-APOSDLE Deliverable D2. 11

Know Center, 2010

2010

Balacheff, Nicolas, Bottino, Rosa, Fischer, Frank, Hofmann, Lena, Joubert, Marie, Kieslinger, Barbara, Lindstaedt Stefanie , Manca, Stefanie, Ney, Muriel, Pozzi, Francesca, Sutherland, Rosamund, Verbert, Katrien, Timmis, Sue, Wild, Fridolin, Scott, Peter, Specht, Marcus

D1.1 The STELLAR vision and strategy statement

2010

This First TEL Grand Challenge Vision and Strategy Report aims to: • provide a unifying framework for members of STELLAR (including doctoral candidates) to develop their own research agenda • engage the STELLAR community in scientific debate and discussion with the long term aim of developing awareness of and respect for different theoretical and methodological perspectives • build knowledge related to the STELLAR grand challenges through the construction of a wiki that is iteratively co‐edited throughout the life of the STELLAR network • develop understandings of the way in which web 2.0 technologies can be used to construct knowledge within a research community (science 2.0) • develop strategies for ways in which the STELLAR instruments can feed into the ongoing development of the wiki and how the they can be used to address the challenges highlighted in this report.
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

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

Kern Roman, Seifert Christin, Granitzer Michael

A Hybrid System for German Encyclopedia Alignment

International Journal on Digital Libraries, Springer, 2010

Journal
Collaboratively created on-line encyclopediashave become increasingly popular. Especially in terms ofcompleteness they have begun to surpass their printedcounterparts. Two German publishers of traditional encyclopediashave reacted to this challenge and started aninitiative to merge their corpora to create a single, more completeencyclopedia. The crucial step in this merging processis the alignment of articles. We have developed a two-stephybrid system to provide high-accurate alignments with lowmanual effort. First, we apply an information retrieval based,automatic alignment algorithm. Second, the articles with alow confidence score are revised using a manual alignmentscheme carefully designed for quality assurance. Our evaluationshows that a combination of weighting and rankingtechniques utilizing different facets of the encyclopedia articlesallow to effectively reduce the number of necessary manualalignments. Further, the setup of the manual alignment turned out to be robust against inter-indexer inconsistencies.As a result, the developed system empowered us to align fourencyclopedias with high accuracy and low effort.
2010

Wolpers Martin, Kirschner Paul A., Scheffel Maren, Lindstaedt Stefanie , Dimitrova Vania

Sustaining TEL: From Innovation to Learning and Practice

Springer Verlag, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V. , Springer, 2010

Buch
2010

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

Visual Analyses on Linked Data - An Opportunity for both Fields

The 2011 STI Semantic Summit, Riga, Latvia, 2010

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

Lindstaedt Stefanie , Duval E., Ullmann T.D., Wild F., Scott P.

Proceedings of the 2nd International Workshop on Research 2.0

CEUR Workshop Proceedings, CEUR-WS, 2010

Buch
Research2.0 is in essence a Web2.0 approach to how we do research. Research2.0 creates conversations between researchers, enables them to discuss their findings and connects them with others. Thus, Research2.0 can accelerate the diffusion of knowledge.ChallengesAs concluded during the workshop, at least four challenges are vital for future research.The first area is concerned with availability of data. Access to sanitized data and conventions on how to describe publication-related metadata provided from divergent sources are enablers for researchers to develop new views on their publications and their research area. Additional, social media data gain more and more attention. Reaching a widespread agreement about this for the field of technology-enhanced learning would be already a major step, but it is also important to focus on the next steps: what are success-critical added values driving uptake in the research community as a whole?The second area of challenges is seen in Research 2.0 practices. As technology-enhanced learning is a multidisciplinary field, practices developed in one area could be valuable for others. To extract the essence of successful multidisciplinary Research 2.0 practice though, multidimensional and longitudinal empirical work is needed. It is also an open question, if we should support practice by fostering the usage of existing tools or the development of new tools, which follow Research 2.0 principles. What makes a practice sustainable? What are the driving factors?The third challenge deals with impact. What are criteria of impact for research results (and other research artefacts) published on the Web? How can this be related to the publishing world appearing in print? Is a link equal to a citation or a download equal to a subscription? Can we develop a Research 2.0 specific position on impact measurement? This includes questions of authority, quality and re-evaluation of quality, and trust.The tension between openness and privacy spans the fourth challenge. The functionality of mash-ups often relies on the use of third-party services. What happens with the data, if this source is no longer available? What about hidden exchange of data among backend services?
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

Lindstaedt Stefanie , Rath Andreas S., Devaurs Didier

Studying the Factors Influencing Automatic User Task Detection on the Computer Desktop

Sustaining TEL: From Innovation to Learning and Practice, Lecture Notes in Computer Science, Springer, 2010

. Supporting learning activities during work has gained momentum fororganizations since work-integrated learning (WIL) has been shown to increaseproductivity of knowledge workers. WIL aims at fostering learning at the workplace,during work, for enhancing task performance. A key challenge for enablingtask-specific, contextualized, personalized learning and work support is to automaticallydetect the user’s task. In this paper we utilize our ontology-based usertask detection approach for studying the factors influencing task detection performance.We describe three laboratory experiments we have performed in twodomains including over 40 users and more than 500 recorded task executions.The insights gained from our evaluation are: (i) the J48 decision tree and Na¨ıveBayes classifiers perform best, (ii) six features can be isolated, which providegood classification accuracy, (iii) knowledge-intensive tasks can be classified aswell as routine tasks and (iv) a classifier trained by experts on standardized taskscan be used to classify users’ personal tasks.
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

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

Richter A., Bullinger A. C., Koch M., Stocker A.

Soziotechnische Integration? Bottom Up? Simplicity? Was sind die Erfolgstreiber von Enterprise 2.0?

Tagungsband zum Workshop im Rahmen der Konferenze Mensch und Computer 2010, Logos-Verlag, 2010

Buch
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

Devaurs Didier, Gras R.

Species Abundance Patterns in an Ecosystem Simulation Studied through Fisher's Logseries

Simulation Modelling Practice and Theory, Elsevier, 2010

Journal
We have developed an individual-based evolving predator–prey ecosystem simulation thatintegrates, for the first time, a complex individual behaviour model, an evolutionary mechanismand a speciation process, at an acceptable computational cost. In this article, we analysethe species abundance patterns observed in the communities generated by oursimulation, based on Fisher’s logseries. We propose a rigorous methodology for testingabundance data against the logseries. We show that our simulation produces coherentresults, in terms of relative species abundance, when compared to classical ecological patterns.Some preliminary results are also provided about how our simulation is supportingecological field results.
2010

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

Efficient Cross-Domain Classification of Weblogs

International Journal of Intelligent Computing Research (IJICR), Vol.1, Issue 2, Infonomics Society, 2010

Journal
Text classification is one of the core applicationsin data mining due to the huge amount ofuncategorized textual data available. Training a textclassifier results in a classification model that reflectsthe characteristics of the domain it was learned on.However, if no training data is available, labeled datafrom a related but different domain might be exploitedto perform cross-domain classification. In our work,we aim to accurately classify unlabeled weblogs intocommonly agreed upon newspaper categories usinglabeled data from the news domain. The labeled newsand the unlabeled blog corpus are highly dynamicand hourly growing with a topic drift, so theclassification needs to be efficient. Our approach is toapply a fast novel centroid-based text classificationalgorithm, the Class-Feature-Centroid Classifier(CFC), to perform efficient cross-domainclassification. Experiments showed that thisalgorithm achieves a comparable accuracy thank-Nearest Neighbour (k-NN) and Support VectorMachines (SVM), yet at linear time cost for trainingand classification. We investigate the classifierperformance and generalization ability using aspecial visualization of classifiers. The benefit of ourapproach is that the linear time complexity enables usto efficiently generate an accurate classifier,reflecting the topic drift, several times per day on ahuge dataset.
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

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

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

Stop Thinking, Start Tagging: Tag Semantics Arise From Collaborative Verbosity

19th International World Wide Web Conference (WWW2010), 2010

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

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

Stocker A., Mueller J.

Enterprise Microblogging bei Siemens, Building Technologies Division

erscheint in: DOK Magazin, 2010

Journal
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

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

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.

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

Klieber Hans-Werner, Granitzer Michael, Gaisbauer M.

Semantically enhanced Software Documentation Processes

Serdica Journal of Computing, 2010

Journal
High-quality software documentation is a substantial issue forunderstanding software systems. Shorter time-to-market software cycles increasethe importance of automatism for keeping the documentation up todate. In this paper, we describe the automatic support of the software documentationprocess using semantic technologies. We introduce a softwaredocumentation ontology as an underlying knowledge base. The defined ontologyis populated automatically by analysing source code, software documentationand code execution. Through selected results we demonstratethat the use of such semantic systems can support software documentationprocesses efficiently.
2010

Granitzer Michael

Enterprise Search

Lexikon der Bibliotheks- und Informationswissenschaft, Umlauf, K., Gradmann, S. , Anton Hiersemann Verlag, 2010

Buch
2010

Granitzer Michael, Kienreich Wolfgang

Semantische Technologien: Stand der Forschung und Visionen

Internationales Rechtsinformatik Symposion (IRIS 10), OCG, 2010

Konferenz
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

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

Köck Anna Maria, Stummer C., Günther M.

Grundzüge des Innovations- und Technologiemanagements

Manual, WUV Wien, 2010

Buch
2010

Erol S., Granitzer Michael, Happ S., Jantunen S., Jennings B., Koschmider A., Nurcan S., Rossi D., Schmidt R.

Combining BPM and Social Software: Contradiction or Chance?

Journal of software maintenance and evolution: research and practice, John Wiley & Sons, Ltd., 2010

Journal
2010

Scheir Peter, Stocker A.

Die Wertschöpfungskette der Daten: Eine Basis für zukünftige wirtschaftswissenschaftliche Betrachtungen des Web of Data

akzeptiert für: HMD Praxis der Wirtschaftsinformatik, dpunkt.verlag, 2010

Journal
2010

Ley Tobias, Kump Barbara, Albert D.

A Methodology for Eliciting, Modelling, and Evaluating Expert Knowledge for an Adaptive Work-integrated Learning System

International Journal of Human-Computer Studies, 2010

Journal
2010

Koerner C., Strohmaier M.

A Call for Social Tagging Datasets

ACM SIGWEB Newsletter, Issue Winter, 2010

Journal
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

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

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

Beham Günter, Lindstaedt Stefanie , Ley Tobias, Kump Barbara, Seifert C.

MyExperiences: Visualizing Evidence in an Open Learner Model

Adjunct Proceedings of the 18th Conference on User Modeling, Adaptation, and Personaization, Posters and Demonstrations, Bohnert, B., Quiroga, L. M., 2010

Journal
When inferring a user’s knowledge state from naturally occurringinteractions in adaptive learning systems, one has to makes complexassumptions that may be hard to understand for users. We suggestMyExperiences, an open learner model designed for these specificrequirements. MyExperiences is based on some of the key design principles ofinformation visualization to help users understand the complex information inthe learner model. It further allows users to edit their learner models in order toimprove the accuracy of the information represented there.
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

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

Griesser Anita, Hollauf M.

Im Sog des Viralen Marketings

ecommerce Magazin, 2010

Journal
2010

Helic Denis, Trattner Christoph, Andrews K., Strohmaier M.

On the Navigability of Social Tagging Systems

International Conference on Social Computing, 2010

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

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

Social Bookmarking Systems: Verbosity Improves Semantics

International Sunbelt Social Network Conference, 2010

Konferenz
2010

Trattner Christoph, Strohmaier M., Helic Denis

The benefits and limitations of tag clouds as a tool for social navigation from a network-theoretic perspective

Journal of Universal Computer Science, 2010

Journal
2010

Mueller J., Stocker A.

Ein Jahr Microblogging bei Siemens, Building Technologies Division

COMPUTERWELT, 2010

Journal
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

Schachner W., Stocker A.

Den Mustern des Unternehmenserfolgs auf der Spur: Web 2.0 als Hilfsmittel zur Komplexitätsbewältigung

erscheint in: Monitor. Das Magazin für Informationstechnologie , 2010

Journal
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

Stocker A.

Wissenstranfer mit Wikis und Weblogs. Fallstudien zum erfolgreichen Einsatz von Web 2.0 im Unternehmen

erscheint im: Gabler Verlag, Gabler, 2010

Buch
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

Krasser N., Stocker A.

Pentos AG: Nachhaltiges Mitarbeiter-Blogging

Schriftenreihe zu Enterprise 2.0-Fallstudien Nr. 06, Back, A., Koch, M., Smolnik, S., Tochtermann, K., 2010

Journal
2010

Köck Anna Maria, Willfort R.

Unterstützung von Wissensarbeit und Open Innovation mittels Web 2.0 am Beispiel der Ideenplattform Neurovation

Herausgeberband, Pircher, R., Publicis Publishing Erlangen, 2010

Buch
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

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

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

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.
Kontakt Karriere

Hiermit erkläre ich ausdrücklich meine Einwilligung zum Einsatz und zur Speicherung von Cookies. Weiter Informationen finden sich unter Datenschutzerklärung

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close