A systematic mapping study of database resources to ontology via reverse engineering

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...

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Main Authors:	Abbasi, A.A., Kulathuramaiyer, Narayanan
Format:	Article
Published:	Medwell Journals 2016
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/12807/ http://ir.unimas.my/12807/ http://ir.unimas.my/12807/

id	unimas-12807
recordtype	eprints
spelling	unimas-128072017-02-22T07:53:33Z http://ir.unimas.my/12807/ A systematic mapping study of database resources to ontology via reverse engineering Abbasi, A.A. Kulathuramaiyer, Narayanan T Technology (General) 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. Medwell Journals 2016 Article PeerReviewed 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 1682-3915 https://www.scopus.com/record/display.uri?eid=2-s2.0-84974623276&origin=inward&txGid=0 DOI: 10.3923/ajit.2016.730.737
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Sarawak
building	UNIMAS Institutional Repository
collection	Online Access
topic	T Technology (General)
spellingShingle	T Technology (General) Abbasi, A.A. Kulathuramaiyer, Narayanan A systematic mapping study of database resources to ontology via reverse engineering
description	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.
format	Article
author	Abbasi, A.A. Kulathuramaiyer, Narayanan
author_facet	Abbasi, A.A. Kulathuramaiyer, Narayanan
author_sort	Abbasi, A.A.
title	A systematic mapping study of database resources to ontology via reverse engineering
title_short	A systematic mapping study of database resources to ontology via reverse engineering
title_full	A systematic mapping study of database resources to ontology via reverse engineering
title_fullStr	A systematic mapping study of database resources to ontology via reverse engineering
title_full_unstemmed	A systematic mapping study of database resources to ontology via reverse engineering
title_sort	systematic mapping study of database resources to ontology via reverse engineering
publisher	Medwell Journals
publishDate	2016
url	http://ir.unimas.my/12807/ http://ir.unimas.my/12807/ http://ir.unimas.my/12807/
first_indexed	2018-09-06T16:02:54Z
last_indexed	2018-09-06T16:02:54Z
_version_	1610874644067254272

A systematic mapping study of database resources to ontology via reverse engineering

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