Thönssen, Barbara

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Barbara
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Thönssen, Barbara

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Publikation

Determining Information Relevance Based on Personalization Techniques to Meet Specific User Needs

2018, Thönssen, Barbara, Witschel, Hans Friedrich, Rusinov, Oleg, Dornberger, Rolf

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Publikation

Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner

2016, Emmenegger, Sandro, Laurenzi, Emanuele, Thönssen, Barbara, Zhang Sprenger, Congyu, Hinkelmann, Knut, Witschel, Hans Friedrich

Support of workplace learning is increasingly important as change in every form determines today's working world in industry and public administrations alike. Adapt quickly to a new job, a new task or a new team is a major challenge that must be dealt with ever faster. Workplace learning differs significantly from school learning as it should be strictly aligned to business goals. In our approach we support workplace learning by providing recommendations of experts and learning resources in a context-sensitive and personalized manner. We utilize user s' workplace environment, we consider their learning preferences and zone of proximal development, and compare required and acquired competencies in order to issue the best suited recommendations. Our approach is part of the European funded project Learn PAd. Applied research method is Design Science Research. Evaluation is done in an iterative process. The recommender system introduced here is evaluated theoretically based on user requirements and practically in an early evaluation process conducted by the Learn PAd application partner.

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Publikation

An Ontology-based and Case-based Reasoning supported Workplace Learning Approach

2016, Emmenegger, Sandro, Thönssen, Barbara, Laurenzi, Emanuele, Martin, Andreas, Zhang Sprenger, Congyu, Hinkelmann, Knut, Witschel, Hans Friedrich

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Publikation

Architectures for Business Processess in Organizations

2015, Thönssen, Barbara, Pierantonio, Alfonso, Silingas, Darius, Rosa, Gianni, Woitsch, Robert

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A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management

2016-03-28, Martin, Andreas, Emmenegger, Sandro, Hinkelmann, Knut, Thönssen, Barbara

The accessibility of project knowledge obtained from experiences is an important and crucial issue in enterprises. This information need about project knowledge can be different from one person to another depending on the different roles he or she has. Therefore, a new ontology-based case-based reasoning (OBCBR) approach that utilises an enterprise ontology is introduced in this article to improve the accessibility of this project knowledge. Utilising an enterprise ontology improves the case-based reasoning (CBR) system through the systematic inclusion of enterprise-specific knowledge. This enterprise-specific knowledge is captured using the overall structure given by the enterprise ontology named ArchiMEO, which is a partial ontological realisation of the enterprise architecture framework (EAF) ArchiMate. This ontological representation, containing historical cases and specific enterprise domain knowledge, is applied in a new OBCBR approach. To support the different information needs of different stakeholders, this OBCBR approach has been built in such a way that different views, viewpoints, concerns and stakeholders can be considered. This is realised using a case viewpoint model derived from the ISO/IEC/IEEE 42010 standard. The introduced approach was implemented as a demonstrator and evaluated using an application case that has been elicited from a business partner in the Swiss research project.

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KPIs 4 Workplace Learning

2016, Emmenegger, Sandro, Thönssen, Barbara, Hinkelmann, Knut, Witschel, Hans Friedrich, Ana, Fred, Aveiro, David

Enterprises and Public Administrations alike need to ensure that newly hired employees are able to learn the ropes fast. Employers also need to support continuous workplace learning. Work-place learning should be strongly related to business goals and thus, learning goals should direct-ly add to business goals. To measure achievement of both learning and business goals we pro-pose augmented Key Performance Indicators (KPI). In our research we applied model driven engineering. Hence we developed a model for a Learning Scorecard comprising of business and learning goals and their KPIs represented in an ontology. KPI performance values and scores are calculated with formal rules based on the SPARQL Inferencing Notation. Results are presented in a dashboard on an individual level as well as on a team/group level. Requirements, goals and KPIs as well as performance measurement were defined in close co-operation with Marche Region, business partner in Learn PAd.

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Business Architecture for Process- Oriented Learning in Public Administration

2015, Silingas, Darius, Thönssen, Barbara, Pierantonio, Alfonso, Efendioglu, Nesat, Woitsch, Robert

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Modeling for learning in public administrations. The Learn PAd Approach

2016, De Angelis, Guglielmo, Pierantonio, Alfonso, Polini, Andrea, Re, Barbara, Thönssen, Barbara, Woitsch, Robert, Karagiannis, Dimitris, Mayr, Heinrich C., Mylopoulos, John

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A new paradigm for the continuous alignment of business and IT: combining enterprise architecture modelling and enterprise ontology

2016, Hinkelmann, Knut, Gerber, Aurona, Karagiannis, Dimitris, Thönssen, Barbara, van der Merwe, Alta, Woitsch, Robert

The paper deals with Next Generation Enterprise Information Systems in the context of Enterprise Engineering. The continuous alignment of business and IT in a rapidly changing environment is a grand challenge for today’s enterprises. The ability to react timeously to continuous and unexpected change is called agility and is an essential quality of the modern enterprise. Being agile has consequences for the engineering of enterprises and enterprise information systems. In this paper a new paradigm for next generation enterprise information systems is proposed, which shifts the development approach of model-driven engineering to continuous alignment of business and IT for the agile enterprise. It is based on a metamodelling approach, which supports both human-interpretable graphical enterprise architecture and machine-interpretable enterprise ontologies. Furthermore, next generation enterprise information systems are described, which embed modelling tools and algorithms for model analysis.

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Publikation

EPOs, an Early Warning System for Post-Merger IS Integration

2015, Unkan, Erol, Thönssen, Barbara