Abbasi, A.A. and Kulathuramaiyer, Narayanan (2016) A systematic mapping study of database resources to ontology via reverse engineering. Asian Journal of Information Technology, 15 (4). pp. 730-737. ISSN 1682-3915Full text not available from this repository.
This study aims at proposing transformation technique to build OWL ontology from relational database resources by following SQL-DDL (Structured Queiy Language-Data Definition Language) written version. Though, the databases has proposed the best form of techniques in order to store in memoiy for the purpose of managing data and retrieving data or for the purpose of recovering it for further functions. However, databases has been observed semantically absence in achieving world-wide objectives based on both web and data integration semantically. Semantic web is supported by ontology that has ability to represent data in meaningful, rich and readable form for both human and machine. This issue can be overcome through ontology would help in improving databases by semantic functions. This approach can capture meta-data from tuples by analysis of database relations. The meta-data can assist to take out several features of semantic and would not infer from Structured Queiy Language (SQL). As conceptual model is richer in semantics, so this study gets conceptual (EER) model by applying reverse engineering technique. Finally, the generated ontology is validated and enhanced through comparison with that of database conceptual model which is also known as EER diagram, for achieving the highest ontology.
|Uncontrolled Keywords:||Databases; Deep web; Meta-data; Ontology; Semantic web; Transformation technique, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak|
|Subjects:||T Technology > T Technology (General)|
|Divisions:||Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology|
|Depositing User:||Karen Kornalius|
|Date Deposited:||07 Aug 2016 18:11|
|Last Modified:||22 Feb 2017 07:53|
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