dc.contributor.author |
Mylonas, P |
en |
dc.date.accessioned |
2014-03-01T02:44:23Z |
|
dc.date.available |
2014-03-01T02:44:23Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/31789 |
|
dc.subject |
Content Adaptation |
en |
dc.subject |
Contextual Information |
en |
dc.subject |
Educational Multimedia |
en |
dc.subject |
Fuzzy Relation |
en |
dc.subject |
Fuzzy Set |
en |
dc.subject |
Knowledge Modeling |
en |
dc.subject |
Knowledge Representation |
en |
dc.subject |
Learning Process |
en |
dc.subject |
Semantic Web |
en |
dc.subject |
User Profile |
en |
dc.subject |
Web Based Education |
en |
dc.subject.other |
Algebra |
en |
dc.subject.other |
Artificial intelligence |
en |
dc.subject.other |
E-learning |
en |
dc.subject.other |
Education |
en |
dc.subject.other |
Fuzzy sets |
en |
dc.subject.other |
Information theory |
en |
dc.subject.other |
Internet |
en |
dc.subject.other |
Knowledge representation |
en |
dc.subject.other |
Multimedia systems |
en |
dc.subject.other |
Ontology |
en |
dc.subject.other |
Semantic Web |
en |
dc.subject.other |
Semantics |
en |
dc.subject.other |
Set theory |
en |
dc.subject.other |
Computationally efficient |
en |
dc.subject.other |
Contextual information |
en |
dc.subject.other |
Contextual knowledge |
en |
dc.subject.other |
Educational contents |
en |
dc.subject.other |
Fuzzy algebra |
en |
dc.subject.other |
Fuzzy relations |
en |
dc.subject.other |
International (CO) |
en |
dc.subject.other |
Knowledge modelling |
en |
dc.subject.other |
Media adaptation |
en |
dc.subject.other |
Multimedia content adaptation |
en |
dc.subject.other |
Ontological representation |
en |
dc.subject.other |
P rior work |
en |
dc.subject.other |
Personalization |
en |
dc.subject.other |
Personalized e learning |
en |
dc.subject.other |
Semantic levels |
en |
dc.subject.other |
User profiling |
en |
dc.subject.other |
Web functionalities |
en |
dc.subject.other |
Fuzzy logic |
en |
dc.title |
A fuzzy contextual approach towards intelligent educational content adaptation |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/SMAP.2007.4414422 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/SMAP.2007.4414422 |
en |
heal.identifier.secondary |
4414422 |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
Fuzzy contextual information is utilized within this paper in order to assist the process of educational multimedia content adaptation. Towards this scope, we extend on previous work in order to address the problem of educational personalization at a semantic level. In different previous works we have developed algorithms to address computationally efficient handling of fuzzy relations, and theory to address knowledge representation, thematic categorization and user profiling. In this work we take two further steps: first, we integrate ontologies in the original knowledge modeling approach and then we explain how these diverse algorithms and methodologies can be combined in order to approach a greater goal, that of educational content personalization. Prior work on web-based educational content adaptation is now extended with Semantic Web functionalities and features. The basis of this work is the role of context, as it improves the quality of the produced results, by utilizing fuzzy algebra, fuzzy sets and relations, towards efficient manipulation of the utilized user profiles. The novelty of the presented work is the ontological representation of contextual knowledge and its utilization within the personalized e-learning process. © 2007 IEEE. |
en |
heal.journalName |
SMAP07 - Second International Workshop on Semantic Media Adaptation and Personalization |
en |
dc.identifier.doi |
10.1109/SMAP.2007.4414422 |
en |
dc.identifier.spage |
257 |
en |
dc.identifier.epage |
261 |
en |