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  • 标题:A Novel Method for Generating an Elearning Ontology
  • 本地全文:下载
  • 作者:Mohammed Reda Chbihi Louhdi ; Hicham Behja ; Said Ouatik El Alaoui
  • 期刊名称:International Journal of Data Mining & Knowledge Management Process
  • 印刷版ISSN:2231-007X
  • 电子版ISSN:2230-9608
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • DOI:10.5121/ijdkp.2013.3610
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:The Semantic Web provides a common framework that allows data to be shared and reused across applications, enterprises, and community boundaries. The existing web applications need to express semantics that can be extracted from users' navigation and content, in order to fulfill users' needs. E-learning has specific requirements that can be satisfied through the extraction of semantics from learning management systems (LMS) that use relational databases (RDB) as backend. In this paper, we propose transformation rules for building owl ontology from the RDB of the open source LMS Moodle. It allows transforming all possible cases in RDBs into ontological constructs. The proposed rules are enriched by analyzing stored data to detect disjointness and totalness constraints in hierarchies, and calculating the participation level of tables in n-ary relations. In addition, our technique is generic; hence it can be applied to any RDB
  • 关键词:Semantic Web; Ontology Building; E-learning; Learning Management System; Relational Databases; ;Schema Mapping; Data Analysis
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