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ERIC Number: EJ896628
Record Type: Journal
Publication Date: 2008
Pages: 20
Abstractor: As Provided
Reference Count: 0
ISSN: ISSN-1741-5659
RuleML-Based Learning Object Interoperability on the Semantic Web
Biletskiy, Yevgen; Boley, Harold; Ranganathan, Girish R.
Interactive Technology and Smart Education, v5 n1 p39-58 2008
Purpose: The present paper aims to describe an approach for building the Semantic Web rules for interoperation between heterogeneous learning objects, namely course outlines from different universities, and one of the rule uses: identifying (in)compatibilities between course descriptions. Design/methodology/approach: As proof of concept, a rule set is implemented using the rule markup language (RuleML), a member of XML-based languages. This representation in RuleML allows the rule base to be platform-independent, flexibly extensible and executable. Findings: The RuleML source representation is easily converted to other XML-based languages (such as RDF, OWL and XMI) as well as incorporated into, and extracted from, existing XML-based repositories (such as IEEE LOM and CanLOM) using XSL Transformations (XSLT). Practical implications: The RuleML facts and rules represented in the positional slotted language are used by the OO jDREW reasoning engine to detect and map between semantically equivalent components of course outlines as the key step in their interoperation. In particular, this will enable the precise delivery of learning objects (e.g. course outlines) from repositories to a specific learner's context. Originality/value: Although the particular scenario is discussed in the present paper, the proposed approach can be applied to other tasks related to enabling semantic interoperability.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A