Knowledge Engineering and the Semantic Web: 4th by Zinaida Apanovich, Alexander Marchuk (auth.), Pavel Klinov,

By Zinaida Apanovich, Alexander Marchuk (auth.), Pavel Klinov, Dmitry Mouromtsev (eds.)

This ebook constitutes the refereed complaints of the 4th convention on wisdom Engineering and the Semantic internet, KESW 2013, held in St. Petersburg, Russia, in October 2013. The 18 revised complete papers provided including 7 brief process descriptions have been conscientiously reviewed and chosen from fifty two submissions. The papers deal with examine concerns on the topic of wisdom illustration, semantic net, and associated data.

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Ontology revision and redesign. Students first develop individual ontologies and then were asked to develop the collective common ontology of the same topic “Informatics’. The given time was 1 hour. The experiments were aimed to figure out how the collective categorization style is being developed. Two strategies have been figured out at that: S1 – a strategy of collective ontology development “from the scratch”, and Measuring Psychological Impact on Group Ontology Design and Development 39 S2 – a strategy of common ontology development on the basis of two or more individual drafts.

29–43, 2013. © Springer-Verlag Berlin Heidelberg 2013 30 T. Gavrilova et al. developing competences by learning from peers. Recently, ontological engineering perspective has gained interest in the domain of computer-aided learning and cognitive psychology involving the study of the structure and patterns of knowledge. These studies rely heavily on theory and tools from knowledge engineering analysis that has already a longstanding tradition in the knowledge-based systems domain [1]. The tools and techniques developed in this domain can be applied fruitfully in the field of learning structuring and design [2-6], Semantic Web applications [7].

J. Cont. Engineering Education and Life-long Learning 14(3), 187–190 (2004) 4. : Authoring Educational Topic Maps: Can We Make It Easier? In: Proceedings of ICALT, pp. 216–219 (2005) 5. : Helping Courseware Authors to Build Ontologies: The Case of TM4L. In: 13th Int. Conference on Artificial Intelligence in Education, California, July 913, pp. 77–84 (2007) 42 T. Gavrilova et al. 6. : An Ontology-Based Framework for Bridging Learning Design and Learning Content. Educational Technology & Society 9(1), 23–37 (2006) 7.

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