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July-September 2011 (vol. 4 no. 3)
pp. 239-248
M. M. Brut, IRIT Lab., Paul Sabatier Univ., Toulouse, France
F. Sedes, IRIT Lab., Paul Sabatier Univ., Toulouse, France
S. D. Dumitrescu, Politech. Univ. of Bucharest, Bucharest, Romania
This paper presents a solution to extend the IEEE LOM standard with ontology-based semantic annotations for efficient use of learning objects outside Learning Management Systems. The data model corresponding to this approach is first presented. The proposed indexing technique for this model development in order to acquire a better annotation of learning resources is further presented. This technique extends and combines two consecrated alternative methods for structure-based indexing of textual resources: the mathematical approach of the latent semantic indexing and the linguistic-oriented WordNet-based text processing. Thus, the reason behind the good results provided by the first method becomes more transparent due to the linguistic controlled choices proposed by the second method. The paper results are important in the context of adopting semantic web technologies in the e-learning field, but also as a progress in the area of ontology-based indexing of textual resources.

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Index Terms:
text analysis,computer aided instruction,data models,indexing,ontologies (artificial intelligence),semantic Web,semantic Web technologies,semantic-oriented approach,e-learning,IEEE LOM standard,ontology-based semantic annotations,learning management systems,data model,indexing technique,structure-based indexing,textual resources,linguistic-oriented WordNet-based text processing,Ontologies,Electronic learning,Semantics,Indexing,Standards,Materials,Semantic Web,latent semantic indexing.,Computer-managed instruction,ontology,semantic annotation,indexing methods
M. M. Brut, F. Sedes, S. D. Dumitrescu, "A Semantic-Oriented Approach for Organizing and Developing Annotation for E-Learning," IEEE Transactions on Learning Technologies, vol. 4, no. 3, pp. 239-248, July-Sept. 2011, doi:10.1109/TLT.2010.40
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