Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2011

Erdmann Michael, Hansch Daniel, Pammer-Schindler Viktoria, Rospocher Marco, Ghidini Chiara, Lindstaedt Stefanie , Serafini Luciano

Applications of Semantic Wikis - Bringing Complementary Models and People Together: A Semantic Wiki for Enterprise Process and Application Modelling

Context and Semantics for Knowledge Management}, Warren, P., Davies, J., Simperl, E., Springer, 2011

Journal
This chapter describes some extensions to and applications of the Semantic MediaWiki. It complements the discussion of the SMW in Chap. 3. Semantic enterprise wikis combine the strengths of traditional content management systems, databases, semantic knowledge management systems and collaborative Web 2.0 platforms. Section 12.1 presents SMW+, a product for developing semantic enterprise applications. The section describes a number of real-world applications that are realized with SMW+. These include content management, project management and semantic data integration. Section 12.2 presents MoKi, a semantic wiki for modeling enterprise processes and application domains. Example applications of MoKi include modeling tasks and topics for work-integrated learning, collaboratively building an ontology and modeling clinical protocols. The chapter illustrates the wealth of activities which semantic wikis support.
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

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

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
2009

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

MoKi: The Enterprise Modelling Wiki

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

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

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

MoKi: the Modelling wiKi

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

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

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

Revision support for modeling tasks, topics and skills

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

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

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

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

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

Konferenz
2008

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

Konferenz
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.
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

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

Konferenz
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.
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.
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.
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.
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