Jale Narimisaei
Abstract
Purpose: One of the hottest topics in recent years in the Artificial Intelligence community, as well as in the web community, is the Semantic Web. It has gained the attention of many researches in e-learning field. Thus, the purpose of paper is to review the architecture of the Semantic Web, to review ...
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Purpose: One of the hottest topics in recent years in the Artificial Intelligence community, as well as in the web community, is the Semantic Web. It has gained the attention of many researches in e-learning field. Thus, the purpose of paper is to review the architecture of the Semantic Web, to review key concepts in e-learning and to categorize and examine the application of the most important concepts of semantic Web (such as Intelligent Agents, Resource Description Framework (RDF), Concept Map, Ontologies, and Linked Data) in a variety of e-learning systems (including web-based courses, learning content management systems (LCMS) and Adaptive and intelligent web-based educational systems).Methodology: This is an analytical review (systematic) and the library research methods have been used to collect and analyze the information.Findings: After categorizing and examining different concepts of the semantic web and their application in e - learning systems, it was observed some studies have been conducted to create a repository of meaningful and reusable learning resources, The meaningful design of the whole components of the educational system, to assess students' skills and guide them, to propose adaptive course materials based on the learning behavior of students, knowledge construction and representation in a meaningful way, to find the right resources at a faster pace, to build collaborative and interoperability learning content management systems (LCMS) and improve queries in them. Conclusion: According to the studies, integration of e-learning and semantic web improve the quality of learning and enhance the performance of learning systems.
Mohammadreza Pourkhani; Bita Shadgar; Alireza Osareh
Volume 6, Vol.6, No.13 , May 2014, , Pages 51-68
Abstract
Aim: The aim of this study is to introduce the methods of transferring relational databases to ontology, classification of entering resources for transferring methods and identify the most important methods which exist in each group. Method: In this study, bibliographic analysis was used to gather and ...
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Aim: The aim of this study is to introduce the methods of transferring relational databases to ontology, classification of entering resources for transferring methods and identify the most important methods which exist in each group. Method: In this study, bibliographic analysis was used to gather and examine papers published on transferring relational databases to ontology. Some papers are derived from paper databases and others from papers published on the Internet. Results: After identifying the existing methods for transferring relational databases to ontology, they were classified into three groups: relational schema, conceptual data models and HTML pages of which the easiest accessible source is HTML pages which does not need cooperation of owner of the relational databases. However, since they can't be considered as real relational databases the hidden concepts in relational databases can't be derived from this source. In terms of data access, it should be noted that retrieval of all records in a relational database through the web-site is impossible. Creating conceptual model is always the first step in the process of creating database, so this model may not express the latest changes and corrections made in the database. The changes in implementation level are not usually reflected in the conceptual model. The conceptual model may not be accessible after designing and creating database. Also, some conceptual model tools do not support all features of conceptual models. Therefore, the relational schema seems to be the best source to create ontology from relational databases, when the database structure and data be accessible and owner of database is cooperative.
