Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen


Lindstaedt Stefanie , Pammer-Schindler Viktoria, Mörzinger Roland, Kern Roman, Mülner Helmut, Wagner Claudia

Recommending tags for pictures based on text, visual content and user context

Third International Conference on Internet and Web Applications and Services (ICIW), IEEE, 2008

Imagine you are member of an online social systemand want to upload a picture into the community pool. In currentsocial software systems, you can probably tag your photo, shareit or send it to a photo printing service and multiple other stuff.The system creates around you a space full of pictures, otherinteresting content (descriptions, comments) and full of users aswell. The one thing current systems do not do, is understandwhat your pictures are about.We present here a collection of functionalities that make a stepin that direction when put together to be consumed by a tagrecommendation system for pictures. We use the data richnessinherent in social online environments for recommending tags byanalysing different aspects of the same data (text, visual contentand user context). We also give an assessment of the quality ofthus recommended tags.

Stocker A., Höfler Patrick, Granitzer Gisela, Willfort R., Anna Maria Köck, Pammer-Schindler Viktoria

Towards a Framework for Social Web Platforms: The Neurovation Case

Proceedings of the Third International Conference on Internet and Web Applications and Services (ICIW 2008), IEEE Computer Society Press, 2008

Social web platforms have become very popular in the so-called Web 2.0, and there is no end in sight. However, very few systematic models for the constitution of such sociotechnical infrastructures exist in the scientific literature. We therefore present a generic framework for building social web platforms based on the creation of value for individuals, communities and social networks. We applied this framework in the Neurovation project, aiming to establish a platform for creative knowledge workers. This paper describes work in progress and the lessons we have learned so far.

Lindstaedt Stefanie , , , Lokaiczyk R., Kump Barbara, Beham Günter, Pammer-Schindler Viktoria

Knowledge Services for Work-integrated Learning

Proceedings of the European Conference on Technology Enhanced Learning (ECTEL) 2008, Maastricht, The Netherlands, September 16-19, Springer, 2008

In order to support work-integrated learning scenarios task- andcompetency-aware knowledge services are needed. In this paper we introducethree key knowledge services of the APOSDLE system and illustrate how theyinteract. The context determination daemon observes user interactions andinfers the current work task of the user. The user profile service uses theidentified work tasks to determine the competences of the user. And finally, theassociative retrieval service utilizes both the current work task and the inferredcompetences to identify relevant (learning) content. All of these knowledgeservices improve through user feedback.

Pammer-Schindler Viktoria

How class axioms affect instance data

Doctoral Consortium of the 11th International Conference on Principles of Knolwedge Representation and Reasoning (KR 2008), 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

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.

Ghidini C., Rospocher M., Serafini L., Kump Barbara, Pammer-Schindler Viktoria, Faatz A., Zinnen A., Guss J., Lindstaedt Stefanie

Collaborative Knowledge Engineering via Semantic MediaWiki

Proceedings of the I-Semantics 2008, Graz, Austria, Sep. 3-5 2008, 2008

Formal modelling is a challenging and expensive task, especially for people not familiarwith design techniques and formal languages. In this paper we present the modelling experiencewithin the APOSDLE EU-project, and we describe the methodology we have developedto support an integrated modelling process of the ontologies and workflows inside APOSDLE.Our approach is based on two main pillars: (i) the usage of Semantic MediaWiki (SMW) forthe collaborative development of informal models to be created, and (ii) a tight, and as much aspossible automatic, integration of the SMW with tools for formal modelling, in order to reuse theinformal models for formal models creation.

Ghidini C., Rospocher M., Serafini L., Faatz A., Kump Barbara, Ley Tobias, Pammer-Schindler Viktoria, Lindstaedt Stefanie

Collaborative enterprise integrated modelling

Poster Session at the 16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns (EKAW 2008), 29th September-3rd October 2008 - Acitrezza, Catania, Italy, 2008

Enterprise modelling focuses on the construction of structured descriptions,the enterprise models, of sets of aspects relevant to the activity ofan enterprise. Nowadays, knowledge engineering provides powerful methodologiesand tools to support enterprise modeling in the production of formal models.These methods however present two main limitation: First, they are based ona waterfall process of transformation of informal knowledge into formal statements;Second, they tend to separate the modelling of the different aspects withoutproviding enough support to their final integration. In this paper we propose amore flexible framework that supports an agile collaboration between the actorsinvolved in the modelling activities, without sticking to a pre-defined protocolof interaction. In addition we propose an integrated meta-model that specifiesthe integration of single components of an articulated enterprise model as wellas their relations, and we report our experience of using the framework and themeta-model in the production of five enterprise models within the APOSDLEEU-project.
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