Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002)
DOI: 10.1109/icais.2002.1048179
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Intelligent educational environments based on the semantic Web technologies

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Cited by 12 publications
(8 citation statements)
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“…Learning has been applied by Panteleyev (2002) [8], but also through making some intelligent e-Learning spaces in the work of Dolog (2004) [9]. Ontologies based on content (domain), context and structure have been made (Stojanovic, Stoab and Studer 2001) [10] and are compatible with other instruments of navigation and indexing.…”
Section: Paper Integration Solutions For Video Data In Educational Plmentioning
confidence: 99%
“…Learning has been applied by Panteleyev (2002) [8], but also through making some intelligent e-Learning spaces in the work of Dolog (2004) [9]. Ontologies based on content (domain), context and structure have been made (Stojanovic, Stoab and Studer 2001) [10] and are compatible with other instruments of navigation and indexing.…”
Section: Paper Integration Solutions For Video Data In Educational Plmentioning
confidence: 99%
“…AI research has shown agent technologies closely integrating with ontology [4] [5]. As agreement automation requires a certain level of intelligence and AI practices already show some machine intelligence can be created by combining agent and ontology together, it is natural that this research adopts agent technologies to fulfill the implementation.…”
Section: Agent Designmentioning
confidence: 99%
“…N the last decade use of the Semantic Web technologies as tools for generating, organizing and personalizing elearning content including e-assessment has attracted a great deal of attention [1], [2], [3], [4]. Within the applications related to assessment, these technologies could be used for different purposes [5]: (1) to capture the structure of a domain, (2) to capture experts representation of a domain, (3) to encode and bind content to a domain structure, (4) to score knowledge map, (5) to package and deliver content at different grain sizes, (6) to be part of a recommender system, and (7) to provide a structure to guide the automated design of assessment.…”
Section: Introductionmentioning
confidence: 99%