By Zinaida Apanovich, Alexander Marchuk (auth.), Pavel Klinov, Dmitry Mouromtsev (eds.)
This publication constitutes the refereed court cases 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 offered including 7 brief approach descriptions have been rigorously reviewed and chosen from fifty two submissions. The papers tackle examine concerns concerning wisdom illustration, semantic internet, and associated data.
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Extra info for Knowledge Engineering and the Semantic Web: 4th International Conference, KESW 2013, St. Petersburg, Russia, October 7-9, 2013. Proceedings
Ontologies are useful structuring tools, in that they provide an organizing axis along which every student can mentally mark his vision in the information hyperspace of domain knowledge. Frequently, it is impossible to express the information as a single ontology. Accordingly, subject knowledge storage provides for a set of related ontologies. Some problems may occur when moving from one ontological space to another, but constructing meta-ontologies may help to resolve these problems. 32 T. Gavrilova et al.
Second, expert data are acquired from informal manipulations in which case professional skills and preferences of experts play an important role. This is why diﬀerent forms of publishing criteria appear to be a useful tool for assessing the expert data quality. 3 Content Quality of Information Resources for Quantitative Spectroscopy According to the Semantic Web (SW) approach, the content of information resources involves data, information and knowledge. These terms are treated in the literature in an apparently contradictory way.
In team problem solving in dyads with participants of different cognitive styles, the final solution is usually closer to the variant suggested by the field-independent participant. However, the dyads consisting of two field-independent persons are experiencing hardships in developing common decisions on arguable points, while the field-dependent dyads are more successful in coming to agreements in cooperative problem solving. Despite the preliminary character of the research results, all the findings can be used in organizing the team ontology development, data structuring and other team analytical work.