NDLI: Ontology-based learning object recommendation for cognitive considerations

Content Provider	IEEE Xplore Digital Library
Author	Qiyan Han Feng Gao Hu Wang
Copyright Year	2010
Description	Author affiliation: MOE KLINNS Lab, Systems Engineering Institute, School of Electronic and Information Engineering, Xi'an Jiaotong University, Shaanxi Province, China (Qiyan Han; Feng Gao; Hu Wang)
Abstract	Learning object recommendation is an emerging technology providing learners with adaptive learning objects or personalized services to overcome the disorientation and overload problems due to massive information. This paper proposes a new ontology-based framework for semantic content recommendation towards learning process. Noting that learning is a continuous self-constructing process based on semantic activations of the learner's prior knowledge, the recommender includes three components: (i) ontology is used to represent the learning object content structure; (ii) semantic rules are developed to identify prerequisite concepts contributing to the understanding of the current learning object; (iii) concept lattices from the inferred concept sets are utilized to obtain the final recommendations. Incorporation of the contextual information as learning process and learning object content structure, this recommendation method is supposed to be effective, especially in the case of novices or learners with low-level prior knowledge, which is different with others.
Starting Page	2746
Ending Page	2750
File Size	805692
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Random variables Ontologies Recommender systems OWL Lattices Semantic rules Learning object recommendation Knowledge representation Spreading activation Ontology
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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