Special Track on Ontologies and Social Semantic Web for Intelligent Educational Systems
نویسندگان
چکیده
Ontologies, the semantic web, and the social semantic web offer a new perspective on intelligent educational systems by providing intelligent access to and management of web information and semantically richer modeling of the applications and their users. This allows for 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. The goal is to advance intelligent educational systems, so as to achieve improved e-learning efficiency, flexibility and adaptation for single users and communities of users (learners, instructors, courseware authors, and others). The special track follows the workshop series Ontologies and Semantic Web for e-Learning, which was conducted successfully from 2002–2009 at a number of different conferences. The goals of this track are to discuss the current state-of-the-art in using ontologies and semantic web technologies in e-learning applications; and to attract the interest of the related research communities to the problems in the educational social semantic web and serve as an international platform for knowledge exchange and cooperation between researchers. This special track will be of interest to researchers interested in using ontologies, semantic web and social semantic web technologies in web-based educational systems, distributed hypermedia and open hypermedia systems, as well as in web intelligence and semantic web and social semantic web engineering.
منابع مشابه
Sw-el'05: Applications of Semantic Web Technologies for E-learning in Conjunction with 12th International Conference on Artificial Intelligence in Education (aied'05) Special Session on Semantic Web for Adaptive Learning Environments Session Co-chairs: Special Session on Semantic Web-based Educational Information Systems
ii Preface The AIED'05 session of the SW-EL'05 workshop focuses on Semantic Web-based knowledge representation and engineering approaches and methods for the needs of intelligent learning systems and discusses issues related to their use for content and knowledge components specification, effective intelligent courseware construction and modelling the learner. The following topics are addressed...
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