Challenges and benefits of the semantic web for user modelling Export

@misc{citeulike:1282359, abstract = {The aim of this paper is to discuss how distributed learner modelling can benefit from semantic web technologies and which challenges have to be solved in this new environment. Heterogeneity of personalization techniques and their needs raise the question whether we can agree on one common data model for user profiles, which supports these techniques. In this paper we discuss an approach where a learner model can be distributed and can reflect features taken from several standards for a learner ...}, author = {Dolog, P. and Nejdl, W.}, citeulike-article-id = {1282359}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.591}, citeulike-linkout-1 = {http://wwwis.win.tue.nl/ah2003/proceedings/um-1/}, keywords = {learner, modelling, ontology}, posted-at = {2008-05-02 16:29:39}, priority = {2}, title = {Challenges and benefits of the semantic web for user modelling}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.591} }

TY - GEN ID - citeulike:1282359 L3 - citeulike-article-id:1282359 N2 - The aim of this paper is to discuss how distributed learner modelling can benefit from semantic web technologies and which challenges have to be solved in this new environment. Heterogeneity of personalization techniques and their needs raise the question whether we can agree on one common data model for user profiles, which supports these techniques. In this paper we discuss an approach where a learner model can be distributed and can reflect features taken from several standards for a learner ... TI - Challenges and benefits of the semantic web for user modelling KW - learner KW - modelling KW - ontology AU - Dolog, P AU - Nejdl, W UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.591 ER -