A teaching strategies engine using translation from SWRL to Jess

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Abstract

Within an intelligent tutoring system framework, the teaching strategy engine stores and executes teaching strategies. A teaching strategy is a kind of procedural knowledge, genetically an if-then rule that queries the learner's state and performs teaching actions. We develop a concrete implementation of a teaching strategy engine based on an automatic conversion from SWRL to Jess. This conversion consists of four steps: (1) SWRL rules are written using Protégé's SWRLTab editor; (2) the SWRL rule portions of Protégé's OWL file format are converted to SWRLRDF format via an XSLT stylesheet; (3) SweetRules converts SWRLRDF to CLIPS/Jess format; (4) syntax-based transformations are applied using Jess meta-programming to provide certain extensions to SWRL syntax. The resulting rules are then added to the Jess run-time environment. We demonstrate this system by implementting a scenario with a set of learning contents and rules, and showing the run-time interaction with a learner. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Wang, E., & Kim, Y. S. (2006). A teaching strategies engine using translation from SWRL to Jess. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4053 LNCS, pp. 51–60). Springer Verlag. https://doi.org/10.1007/11774303_6

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