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Semantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling

Semantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling,10.1007/978-3-642-17749-1_6,J. Gracia,Jochem Liem,Esther Lozano,'Oscar Corcho

Semantic Techniques for Enabling Knowledge Reuse in Conceptual Modelling   (Citations: 3)
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Conceptual modelling tools allow users to construct formal representations of their conceptualisations. These models are typically developed in isolation, unrelated to other user models, thus losing the opportunity of incorporating knowledge from other existing models or ontologies that might enrich the modelling process. We propose to apply Semantic Web techniques to the context of conceptual modelling (more particularly to the domain of qualitative reasoning), to smoothly interconnect conceptual models created by different users, thus facilitating the global sharing of scientific data contained in such models and creating new learning opportunities for people who start modelling. This paper describes how semantic grounding techniques can be used during the creation of qualitative reasoning models, to bridge the gap between the imprecise user terminology and a well defined external common vocabulary. We also explore the application of ontology matching techniques between models, which can provide valuable feedback during the model construction process.
Published in 2010.
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    • ...Critic: In contrast to the help provided by the mechanic or teacher characters, the critic’s quality feedback about a learner’s model is generated through an online repository of models, created by both other learners and experts [9]...

    Michael Wißneret al. Character Roles and Interaction in the DynaLearn Intelligent Learning ...

    • ...The server runs semantic services [4] to generate feedback at the request of learners via the workbench...

    Wouter Beeket al. Knowledgeable Feedback via a Cast of Virtual Characters with Different...

    • ...The results will make an important contribution to the ongoing development of automated support for learning by modeling, in particular through tools such as ontology-based feedback [3] and interactive model diagnosis [4] in the DynaLearn software, facilitating the acquisition of conceptual knowledge...
    • ...This can be achieved through ontology-based feedback using model comparison with a repository of norm teachers’ models for identification of the correct concepts [3]...
    • ...The DynaLearn project is developing automated tools for model-based diagnosis, ontology-based feedback and virtual-character-based dialogs that facilitate the types of support outlined above [3]...

    Richard Nobleet al. Use of the DynaLearn Learning Environment by Naïve Student Modelers: I...

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