Abstract
Distributed and various systems on learning environment produce heterogeneity data in data level implementation. Heterogeneity data on learning environment is about different data representation between learning system. This problem makes the integration problem increasingly complex. Semantic relationship is a very interesting issue in learning environment case study. Difference data representation on each data source makes numerous systems difficult to communicated and integrated with the others. Many researchers found that the semantic technology is the best way to resolve the heterogeneity data representation issues. Semantic technology can handle heterogeneity of data, data with different representations in different data sources. Semantic technology also can do data mapping from different database and different data format that have same meaning data. This paper focuses on semantic data mapping to handle the semantic relationship on heterogeneity data representation using semantic ontology approach. In the first level process, using D2RQ engine to produce turtle (.ttl) file format that can be used for Local Java Application using Jena Library and Triple Store. In the second level process we develop ontology knowledge using protégé tools to handle semantic relationship. In this paper, produce ontology knowledge to handle a semantic relationship between Moodle E-learning system and Question Bank system.
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Yunianta, A., Yusof, N., Jayadianti, H., Othman, M.S., Suhaimi, S. (2014). Ontology Development to Handle Semantic Relationship between Moodle E-learning and Question Bank System. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_65
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DOI: https://doi.org/10.1007/978-3-319-07692-8_65
Publisher Name: Springer, Cham
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