Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2011

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

Applying Language Technologies to Support Work-Integrated Learning

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

Journal
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

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

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

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.
2009

Kern Roman, Granitzer Michael, Lindstaedt Stefanie , Ghidini C., Scheir Peter

ARS/SD: An Associative Retrieval Service for the Semantic Desktop

Networked Knowledge - Networked Media Integrating Knowledge Management, New Media Technologies and Semantic Systems, Studies in Computational Intelligence , Pellegrini, T., Auer, S., Tochtermann, K., Schaffert, S., Springer, 2009

Buch
While it is agreed that semantic enrichment of resources wouldlead to better search results, at present the low coverage of resources onthe web with semantic information presents a major hurdle in realizing thevision of search on the Semantic Web. To address this problem we investigatehow to improve retrieval performance in a setting where resources aresparsely annotated with semantic information. We suggest employing techniquesfrom associative information retrieval to find relevant material, whichwas not originally annotated with the concepts used in a query. We presentan associative retrieval service for the Semantic Desktop and evaluate if theuse of associative retrieval techniques increases retrieval performance.Evaluation of new retrieval paradigms, as retrieval in the Semantic Web oron the Semantic Desktop, presents an additional challenge as no off-the-shelftest corpora for evaluation exist. Hence we give a detailed description of the
2008

Ley Tobias, Ulbrich Armin, Lindstaedt Stefanie , Scheir Peter, Kump Barbara, Albert Dietrich

Modeling competencies for supporting work-integrated learning in knowledge work

Journal of knowledge management, Emerald Group Publishing Limited, 2008

Journal
Purpose – The purpose of this paper is to suggest a way to support work-integrated learning forknowledge work, which poses a great challenge for current research and practice.Design/methodology/approach – The authors first suggest a workplace learning context model, whichhas been derived by analyzing knowledge work and the knowledge sources used by knowledgeworkers. The authors then focus on the part of the context that specifies competencies by applying thecompetence performance approach, a formal framework developed in cognitive psychology. From theformal framework, a methodology is then derived of how to model competence and performance in theworkplace. The methodology is tested in a case study for the learning domain of requirementsengineering.Findings – The Workplace Learning Context Model specifies an integrative view on knowledge workers’work environment by connecting learning, work and knowledge spaces. The competence performanceapproach suggests that human competencies be formalized with a strong connection to workplaceperformance (i.e. the tasks performed by the knowledge worker). As a result, competency diagnosisand competency gap analysis can be embedded into the normal working tasks and learninginterventions can be offered accordingly. The results of the case study indicate that experts weregenerally in moderate to high agreement when assigning competencies to tasks.Research limitations/implications – The model needs to be evaluated with regard to the learningoutcomes in order to test whether the learning interventions offered benefit the user. Also, the validityand efficiency of competency diagnosis need to be compared to other standard practices incompetency management.Practical implications – Use of competence performance structures within organizational settings hasthe potential to more closely relate the diagnosis of competency needs to actual work tasks, and toembed it into work processes.Originality/value – The paper connects the latest research in cognitive psychology and in thebehavioural sciences with a formal approach that makes it appropriate for integration intotechnology-enhanced learning environments.Keywords Competences, Learning, Workplace learning, Knowledge managementPaper type Research paper
2008

Ley Tobias, Ulbrich Armin, Scheir Peter, Lindstaedt Stefanie , Kump Barbara, Albert D.

Modelling Competencies for Supporting Work-integrated Learning in Knowledge Work

Journal of Knowledge Management, , 2008

Journal
2008

Ley Tobias, Kump Barbara, Ulbrich Armin, Scheir Peter, Lindstaedt Stefanie

A Competence-based Approach for Formalizing Learning Goals in Work-integrated Learning

Proceedings of the ED-Media 2008, Vienna, Austria, June 30-July 4, 2008,, Chesapeake, VA: AACE, 2008

Konferenz
The paper suggests a way to support work-integrated learning for knowledge workwhich poses a great challenge for current research and practice. We first present a WorkplaceLearning Context Model which has been derived by analyzing knowledge work and the knowledgesources used by knowledge workers. The model specifies an integrative view on knowledgeworkers’ work environment by connecting learning, work and knowledge spaces. We then focuson the part of the context which specifies learning goals and their interrelations to task and domainmodels. Our purpose is to support learning needs analysis which is based on a comparison of tasksperformed in the past to those tasks to be tackled in the future. A first implementation in theAPOSDLE project is presented including the models generated for five real world applications andthe software prototype. We close with an outlook on future work.
2008

Christl C., Ghidini C. , Guss J., Lindstaedt Stefanie , Pammer-Schindler Viktoria, Scheir Peter, Serafini L.

Deploying semantic web technologies for work integrated learning in industry. A comparison: SME vs. large sized company

Proceedings of the ISWC 2008, 7th International Semantic Web Conference, Karlsruhe, Germany, Oct 26-30, 2008 , Springer, 2008

Konferenz
Modern businesses operate in a rapidly changing environment.Continuous learning is an essential ingredient in order to stay competitivein such environments. The APOSDLE system utilizes semanticweb technologies to create a generic system for supporting knowledgeworkers in different domains to learnwork. Since APOSDLE relies onthree interconnected semantic models to achieve this goal, the questionon how to efficiently create high-quality semantic models has become oneof the major research challenges. On the basis of two concrete examplesnamelydeployment of such a learning system at EADS, a large corporation,and deployment at ISN, a network of SMEs-we report in detail theissues a company has to face, when it wants to deploy a modern learningenvironment relying on semantic web technology.
2008

Lindstaedt Stefanie , Ley Tobias, Scheir Peter, Ulbrich Armin

Applying Scruffy Methods to Enable Work-integrated Learning

The European Journal of the Informatics Professional, 2008

Journal
This contribution introduces the concept of work-integrated learning which distinguishes itself from traditional e-Learning in that it provides learning support (i) during work task execution and tightly contextualized to the work context,(ii) within the work environment, and (iii) utilizes knowledge artefacts available within the organizational memory for learning. We argue that in order to achieve this highly flexible learning support we need to turn to" scruffy" methods (such as associative retrieval, genetic algorithms, Bayesian and other probabilistic methods) which can provide good results in the presence of uncertainty and the absence of fine-granular models. Hybrid approaches to user context determination, user profile management, and learning material identification are discussed and first results are reported.
2008

Lindstaedt Stefanie , Ley Tobias, Scheir Peter, Ulbrich Armin

Aplicación de métodos "desaliñados" para facilitar el aprendizaje integrado en el trabajo

Novatica, Revista de la Asociación de Téchnicos de Informática, N° 193, mayo-junio 2008, ano XXXIV, ATI, 2008

Journal
2008

Scheir Peter, Lindstaedt Stefanie , Ghidini C.

A Network Model Approach to Retrieval in the Semantic Web

International Journal on Semantic Web and Information Systems, Sheth, A., IGI Global, 2008

Journal
2008

Lindstaedt Stefanie , Ley Tobias, Scheir Peter, Ulbrich Armin

Aplicación de métodos" desaliñados" para facilitar el aprendizaje en el trabajo.(El futuro de la tecnología educativa)

Novática: Revista de la Asociación de Técnicos de Informática, 2008

2007

Pammer-Schindler Viktoria, Scheir Peter, Lindstaedt Stefanie

Two Protégé plug-ins for supporting document-based ontology engineering and ontological annotation at document-level

10th International Protégé Conference, Budapest, Hungary, July 15-18, 2007, Budapest, 2007

We present two plug-ins for Prot´eg´e OWL. The first, Discovery Tab,supports document-based ontology engineering with relevant term extraction,clustering and related functionality. The second, Annotation Tab,provides a facility to annotate documents manually and automatically(based on a training set).
2007

Scheir Peter, Granitzer Michael, Lindstaedt Stefanie

Evaluating an Information Retrieval System for the Semantic Desktop using Standard Measures from Information Retrieval

Lernen - Wissen - Adaption LWA 2007, 2007

Konferenz
Evaluation of information retrieval systems is a critical aspect of information retrieval research. New retrieval paradigms, as retrieval in the Semantic Web, present an additional challenge for system evaluation as no off-the-shelf test corpora for evaluation exist. This paper describes the approach taken to evaluate an information retrieval system built for the Semantic Desktop and demonstrates how standard measures from information retrieval research are employed for evaluation.
2007

Lindstaedt Stefanie , Scheir Peter, Ulbrich Armin

Scruffy Technologies to Enable (Work-integrated) Learning

EC-TEL, 2007

Konferenz
The goal of the APOSDLE (Advanced Process-Oriented SelfDirectedLearning environment) project is to support work-integrated learningof knowledge workers. We argue that work-integrated learning requires extremeflexibility on a variety of aspects from supportive learning systems. Thisflexibility can not be achieved by typical (neat) eLearning systems. In this contributionwe present how a battery of scruffy technologies (e.g. combining semantics,associative networks and collective intelligence approaches) can beutilized to achieve this flexibility for user profile maintenance and contextbasedretrieval.
2007

Scheir Peter, Pammer-Schindler Viktoria, Lindstaedt Stefanie

Information Retrieval on the Semantic Web - Does it exist?

Proceedings of Lernen-Wissen-Adaption, Halle/Saale, Germany, September 24-26, 2007, 2007

Konferenz
Plenty of contemporary attempts to search existthat are associated with the area of Semantic Web.But which of them qualify as information retrievalfor the Semantic Web? Do such approaches exist?To answer these questions we take a look at thenature of the Semantic Web and Semantic Desktopand at definitions for information and data retrieval.We survey current approaches referred toby their authors as information retrieval for the SemanticWeb or that use Semantic Web technologyfor search.
2007

Scheir Peter, Ghidini C., Lindstaedt Stefanie

Improving Search on the Semantic Desktop using Associative Retrieval Techniques

Proceedings of I-MEDIA 2007 and I-SEMANTICS 2007, Graz, Austria, September 5-7, 2007, 2007

Konferenz
While it is agreed that semantic enrichment of resources would lead tobetter search results, at present the low coverage of resources on the web with semanticinformation presents a major hurdle in realizing the vision of search on the SemanticWeb. To address this problem we investigate how to improve retrieval performancein a setting where resources are sparsely annotated with semantic information. Wesuggest employing techniques from associative information retrieval to find relevantmaterial, which was not originally annotated with the concepts used in a query. Wepresent an associative retrieval system for the Semantic Desktop and show how the useof associative retrieval increased retrieval performance.
2007

Strohmaier M., Lux M., Granitzer Michael, Scheir Peter, Liaskos S., Yu E.

How Do Users Express Goals on the Web? - An Exploration of Intentional Structures in Web Search

We Know 07 International Workshop on Collaborative Knowledge Management for Web Information Systems, in conjunction with WISE 07, , Nancy, France, 2007

Konferenz
2007

Scheir Peter, Granitzer Michael, Lindstaedt Stefanie

Evaluation of an Information Retrieval System for the Semantic Desktop using Standard Measures from Information Retrieval

Proceedings of Lernen-Wissen-Adaption, Halle/Saale, Germany, September 24-26, 2007, 2007

Konferenz
2007

Ghidini C., Pammer-Schindler Viktoria, Scheir Peter, Lindstaedt Stefanie , Serafini L.

APOSDLE: learn@work with semantic web technology

Proceedings of I-MEDIA 2007 and I-SEMANTICS 2007, Graz, Austria, September 5-7, 2007, 2007

Konferenz
The EU project APOSDLE focuses on work-integrated learning. Among the severalchallenges of the project, a crucial role is played by the system’s ability to start from the context ofthe immediate work of a user, establish her missing competencies and learning needs and suggeston-the-fly and appropriate learning stimuli. These learning stimuli are created from a variety ofresources (documents, videos, expert profiles, and so on) already stored in the workplace andmay be in the form of learning material or suggestions to contact experts and / or colleagues.To address this challenge requires the capability of building a system which is able find, choose,share, and combine a variety of knowledge, evolving content and resources in an automatic andeffective manner. The implementation of this capability requires technology which goes beyondtraditional query-answering and keyword based search engines, and Semantic Web technologywas chosen by the consortium as the most appropriate technology to make information search anddata integration more efficient. The aim of this paper is to give an overview of the broad spectrumof Semantic Web technologies that are needed for a complex application like APOSDLE, and thechallenges for the Semantic Web community that have appeared along the way.
2006

Scheir Peter, Granitzer Michael, Lindstaedt Stefanie , Hofmair P.

The OntologyMapper plug-in: Supporting Semantic Annotation of Text-Documents by Classification

Semantic Systems From Vision to Applications - Proceedings of the SEMANTICS 2006, Vienna, Austria, November 28-30, 2006, Österreichische Computer Gesellschaft, Wien, 2006

Konferenz
In this contribution we present a tool for annotating documents, which are used for workintegratedlearning, with concepts from an ontology. To allow for annotating directly whilecreating or editing an ontology, the tool was realized as a plug-in for the ontology editor Protégé.Annotating documents with semantic metadata is a laborious task, most of the time knowledgerepresentations are created independently from the resources that should be annotated andadditionally in most work environments a high number of documents exist. To increase theefficiency of the person annotating, in our tool the process of assigning concepts to text-documentsis supported by automatic text-classification.
2006

Pammer-Schindler Viktoria, Scheir Peter, Lindstaedt Stefanie

Ontology Coverage Check: Support for Evaluation in Ontology Engineering

Proceedings of FOMI 2006 - 2nd Workshop on Formal Ontologies Meet Industry, Trento, Italy, December 14-15, 2006, 2006

Konferenz
Support for the process of ontology engineering is needed in order to reduce theeffort still necessary to build an ontology. Some can be given by facilitated evaluationof the ontology under development. To that purpose we present an automated methodthat supports data driven ontology evaluation by checking to what extent the conceptsand axioms of the ontology under evaluation are covered by a given set of individuals(data).We applied the here presented ontology coverage check (OCC) to various ontologiesand will report on the results. The results highlight not only the potential of OCCbut also some characteristics of ontologies currently available to the public.
2006

Ulbrich Armin, Lindstaedt Stefanie , Scheir Peter, Goertz M.

A Context-Model for Supporting Work-Integrated Learning

European Conference on Technology Enhanced Learning, Innovative Approaches for Learning and Knowledge Sharing , Springer, Berlin, 2006

Konferenz
This contribution introduces the so-called Workplace Learning Contextas essential conceptualisation supporting self-directed learning experiencesdirectly at the workplace. The Workplace Learning Context is to be analysedand exploited for retrieving ‘learning’ material that best-possibly matches witha knowledge worker’s current learning needs. In doing so, several different‘flavours’ of work-integrated learning can be realised including task learning,competency-gap based support and domain-related support. The WorkplaceLearning Context Model, which is also outlined in this contribution, forms thetechnical representation of the Workplace Learning Context.
2006

Scheir Peter

Associative retrieval of resources for work-integrated learning: Integrating domain knowledge with content-based similarities

in: Maillet, K., Klamma, R. (Ed.), Proceedings of the 1st Doctoral Consortium in Technology Enhanced Learning, Crete, Greece, October 2, 2006, Aachen, 2006

Konferenz
2006

Scheir Peter, Lindstaedt Stefanie

A network model approach to document retrieval taking into account domain knowledge

In Martin Schaaf and Klaus-Dieter Althoff (Ed.), Proceedings LWA 2006 - Lernen - Wissensentdeckung - Adaptivität, Hildesheim, Germany, October 9-11, 2006, Universität Hildesheim, Hildesheim, 2006

Konferenz
We preset a network model for context-based retrievalallowing for integrating domain knowledgeinto document retrieval. Based on thepremise that the results provided by a networkmodel employing spreading activation are equivalentto the results of a vector space model, wecreate a network representation of a documentcollection for retrieval. We extended this well exploredapproach by blending it with techniquesfrom knowledge representation. This leaves uswith a network model for finding similarities in adocument collection by content-based as well asknowledge-based similarities.
2006

Lux Mathias, Scheir Peter, Lindstaedt Stefanie , Granitzer Michael

Special Track on Advanced Semantic Technologies-Introduction

International Conference on Knowledge Management, 2006

Konferenz
2002

Lindstaedt Stefanie , Scheir Peter, Sarka W.

Generic Knowledge Management System (GKMS)

TELEMATIK 03/2002, Telematik Ingenieur Verband, Graz, Austria, 2002

Journal
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