Thönssen, Barbara
Lade...
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Thönssen
Vorname
Barbara
Name
Thönssen, Barbara
7 Ergebnisse
Suchergebnisse
Gerade angezeigt 1 - 7 von 7
- PublikationDetermining information relevance based on personalization techniques to meet specific user needs(Springer, 2018) Thönssen, Barbara; Witschel, Hans Friedrich; Rusinov, Oleg; Dornberger, Rolf [in: Business information systems and technology 4.0 - New trends in the age of digital change]04A - Beitrag Sammelband
- PublikationWorkplace 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 [in: Proceedings of Special Session on Learning Modeling in Complex Organizations (LCMO) at MODELSWARD'16]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.04B - Beitrag Konferenzschrift
- PublikationKPIs 4 Workplace Learning(Springer, 2016) Emmenegger, Sandro; Thönssen, Barbara; Hinkelmann, Knut; Witschel, Hans Friedrich; Ana, Fred; Aveiro, David [in: Proceedings of the 8th International Conference on Knowledge Management and Information Sharing (KMIS)]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.04B - Beitrag Konferenzschrift
- PublikationWhere Did I(t) put it? A holistic solution to the automatic construction of topic trees for navigation(2014) Thönssen, Barbara; Witschel, Hans Friedrich; Lutz, Jonas [in: Proceedings of KMIS'14, 2014]Managing information based on hierarchical structures is prevailing, be it by storing documents physically in a file structure like MS explorer or virtually in topic trees as in many web applications. The problem is that the structure evolves over time, created individually and hence reflecting individual opinions of how information objects should be grouped. This leads to time consuming searches and error prone retrieval results since relevant documents might be stored elsewhere. Our approach aims at solving the problem by replacing or complementing the manually created navigation structures by automatically created ones. We consider existing approaches for clustering and labelling and focus on yet unrewarding aspects like having information objects in inner nodes (as it is common in folder hierarchies) and cognitively adequate labelling for textual and non-textual resources. Evaluation was done by knowledge experts based on a comparison of retrieval time for finding given documents in manually and automatic generated information structures and showed the advantage of automatically created topic trees.04B - Beitrag Konferenzschrift
- PublikationBreaking free from your information prison - A recommender based on semantically enriched context descriptions(2013) Lutz, Jonas; Thönssen, Barbara; Witschel, Hans Friedrich [in: Proceedings of the First International Conference on Enterprise Systems, 2013]Information repositories, implemented as Enterprise Portals (EP) on the intranet, are increasingly popular in companies of all sizes. Enterprise Portals allow for structuring information in a way that resembles the organization of paper copies, i.e. simulating folders and registries and furthermore, provide simple routines for publishing and collaborating. Hence, in general, such kind of information management is not much different from paper management: electronic documents must be uploaded into the Enterprise Portal manually, filed into folders (which have to be created manually, too), tagged and related to other information objects if need be. With this approach information structuring remains subject to the individual user leading to the well-known problems of multiple filing, overlooking relevant information and incomprehensible Folder structure. The SEEK!sem project aims at improving such kind of information system by automatically identifying and recommending related information resources to be added to a folder. The recommendations are based on rules, exploiting content and context similarity of information resources. Rules can be created upfront, based on explicitly defined Relations between information objects. They can also be machine learned, i.e. the recommender exploits the existing linkage between documents, folders and other objects to learn “relatedness rules”. In either case, potential new connections are inferred by applying the rules in a reasoning step. Recommended new connections are ranked by the sum of the scores of all applied rules – the rule scores, again, can either be provided by experts or machinelearned. The applied rules can serve as an explanation of a recommendation, i.e. they can assist users in understanding why a particular connection is suggested.04B - Beitrag Konferenzschrift
- PublikationA Collaborative Approach To Maturing Process-Related Knowledge(2010) Witschel, Hans Friedrich; Hu, Bo; Riss, Uwe V.; Thönssen, Barbara; Hull, Richard; Mendling, Jan; Tai, Stefan [in: Business Process Management - Lecture Notes in Computer Science]We introduce a new approach supporting knowledge workers in sharing process-related knowledge. It is based on the insight that - while o ering valuable context information - traditional business process modelling approaches are too rigid and in exible to capture the actual way processes are executed. Therefore, business process models are made agile and open for changes during execution. To achieve this, the strict distinction between build time modelling and run time execution are softened and process activities are represented to the users in a way that allows for individual adaptations. That can be done by attaching resources, commenting on an issue or adding problems and solutions to an activity or process. In addition activities can be delegated or new (sub-)activities can be added. Thus, the model can adapt to the reality of actual process executions and valuable resources and experiences are proactively presented to users in the right context. A double-staged Approach is chosen to apply the model in the real application scenario of a university.04B - Beitrag Konferenzschrift
- PublikationWhat is Organizational Knowledge Maturing and how can it be assessed?(2009) Riss, Uwe; Witschel, Hans Friedrich; Brun, Roman; Thönssen, Barbara [in: Proceedings of I-KNOW ’09 and I-SEMANTICS ’09]We introduce the concept of organizational knowledge maturing based on the idea of developing knowledge assets. We explain the dimensions that have to beconsidered and introduce the Knowledge Maturing Dimension Framework to measure the maturity level. Finally we describe service classes as the building blocks of afuture organizational learning and maturing environment (OLME).04B - Beitrag Konferenzschrift