Niels Pinkwart, Darina Dicheva, Riichiro Mizoguchi
SWEL'09 @ AIED'09: Ontologies and Social Semantic Web for Intelligent Educational Systems
In conjunction with the 14th International Conference
on Artificial Intelligence in Education
Thistle Hotel, Brighton, July 6th-10th, 2009
Recent research on Web-based educational systems attempts to meet the fast growing needs and expectations of the education community with regard to e-learning efficiency, flexibility, and adaptation by employing ontologies and Semantic Web standards and paradigms. These advanced technologies aim at providing more intelligent access to and management of Web information and semantically richer modeling of the applications and their users. An important target for educational Web application researchers and developers today is to provide means to unite, as much as possible, the efforts in creating information and knowledge components that are easily accessible, shareable, reusable and modifiable by others. Within the educational field, this motivates efforts to achieve semantically rich, well-structured, standardised and verified learning content. Ontologies and Semantic Web standards allow achieving such reusability, shareability and interoperability among educational Web resources. Conceptualizations, ontologies and the available Web standards such as XML, XTM, RDF(S), OWL, OWL-S, RuleML, LOM, SCORM and IMS-LD allow specification of components in a standard way.
The notion of Social Semantic Web describes an emerging design approach for building Semantic Web applications which employs Social Software approaches. Social Semantic Web systems are usually characterized through their emphasis on collaborative creation, usage and continuous refinement of Semantic Web structures by groups of humans. Social Semantic Web systems typically elicit domain knowledge through semi-formal ontologies, taxonomies or folksonomies.
Ontologies, the Semantic Web, and the Social Semantic Web offer a new perspective on intelligent educational systems by supporting more adequate and accurate representations of learners, their learning goals, learning material and contexts of its use, as well as more efficient access and navigation through learning resources. They advance the state-of-the-art in intelligent educational systems development, so as to achieve improved e-learning efficiency, flexibility and adaptation for single users and user communities (learners, instructors, courseware authors, etc).(leer más...)