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A User Profiling Component with the aid of User Ontologies

dc.contributor.authorNébel, István Tiborde_DE
dc.contributor.authorSmith, Barryde_DE
dc.contributor.authorPaschke, Ralfde_DE
dc.date.accessioned2017-11-15T15:01:40Z
dc.date.available2017-11-15T15:01:40Z
dc.date.issued2003
dc.description.abstractWhat follows is a contribution to the field of user modeling for adaptive teaching and learning programs especially in the medical field. The paper outlines existing approaches to the problem of extracting user information in a form that can be exploited by adaptive software. We focus initially on the so-called stereotyping method, which allocates users into classes adaptively, reflecting characteristics such as physical data, social background, and computer experience. The user classifications of the stereotyping method are however ad hoc and unprincipled, and they can be exploited by the adaptive system only after a large number of trials by various kinds of users. We argue that the remedy is to create a database of user ontologies from which ready- made taxonomies can be derived in such a way as to enable associated software to support a variety of different types of users.
dc.identifier.urihttp://abis.l3s.uni-hannover.de/images/proceedings/abis2003/nebel.pdfde_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/5124
dc.language.isoende_DE
dc.relation.ispartof11. GI-Workshop "Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen"de_DE
dc.titleA User Profiling Component with the aid of User Ontologiesde_DE
dc.typeText/Conference Paper
gi.document.qualitydigidoc

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