An empirical comparative study of instance-based schema matching

The main issue concern of schema matching is how to support the merging decision by providing matching between attributes of different schemas. There have been many works in the literature toward utilizing database instances to detect the correspondence between attributes. Most of these previous wor...

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Main Authors:	Alzeber, Mogahed, Aljuboori, Ali A.Alwan, Nordin, Azlin, Abualkishik, Abedallah Zaid
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science (IAES) 2018
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://irep.iium.edu.my/63238/ http://irep.iium.edu.my/63238/ http://irep.iium.edu.my/63238/ http://irep.iium.edu.my/63238/1/An%20Empirical%20Comparative%20Study%20of%20Instance-based%20Schema%20Matching_Published_Version.pdf http://irep.iium.edu.my/63238/7/63238_An%20empirical%20comparative%20study%20of%20instance-based_scopus.pdf

id	iium-63238
recordtype	eprints
spelling	iium-632382018-04-23T01:03:43Z http://irep.iium.edu.my/63238/ An empirical comparative study of instance-based schema matching Alzeber, Mogahed Aljuboori, Ali A.Alwan Nordin, Azlin Abualkishik, Abedallah Zaid QA75 Electronic computers. Computer science QA76 Computer software The main issue concern of schema matching is how to support the merging decision by providing matching between attributes of different schemas. There have been many works in the literature toward utilizing database instances to detect the correspondence between attributes. Most of these previous works aim at improving the match accuracy. We observed that no technique managed to provide an accurate matching for different types of data. In other words, some of the techniques treat numeric values as strings. Similarly, other techniques process textual instance, as numeric, and this negatively influences the process of discovering the match and compromising the matching result. Thus, a practical comparative study between syntactic and semantic techniques is needed. The study emphasizes on analyzing these techniques to determine the strengths and weaknesses of each technique. This paper aims at comparing two different instance-based matching techniques, namely: (i) regular expression and (ii) Google similarity to identify the match between attributes. Several analyses have been conducted on real and synthetic data sets to evaluate the performance of these techniques with respect to Precision (P), Recall (R) and F-Measure. Institute of Advanced Engineering and Science (IAES) 2018-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63238/1/An%20Empirical%20Comparative%20Study%20of%20Instance-based%20Schema%20Matching_Published_Version.pdf application/pdf en http://irep.iium.edu.my/63238/7/63238_An%20empirical%20comparative%20study%20of%20instance-based_scopus.pdf Alzeber, Mogahed and Aljuboori, Ali A.Alwan and Nordin, Azlin and Abualkishik, Abedallah Zaid (2018) An empirical comparative study of instance-based schema matching. Indonesian Journal of Electrical Engineering and Computer Science, 10 (3). pp. 1266-1277. ISSN 2502-4752 E-ISSN 2502-4760 http://iaescore.com/journals/index.php/IJEECS/article/view/12336/8489 10.11591/ijeecs.v10.i3.pp1266-1277
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Alzeber, Mogahed Aljuboori, Ali A.Alwan Nordin, Azlin Abualkishik, Abedallah Zaid An empirical comparative study of instance-based schema matching
description	The main issue concern of schema matching is how to support the merging decision by providing matching between attributes of different schemas. There have been many works in the literature toward utilizing database instances to detect the correspondence between attributes. Most of these previous works aim at improving the match accuracy. We observed that no technique managed to provide an accurate matching for different types of data. In other words, some of the techniques treat numeric values as strings. Similarly, other techniques process textual instance, as numeric, and this negatively influences the process of discovering the match and compromising the matching result. Thus, a practical comparative study between syntactic and semantic techniques is needed. The study emphasizes on analyzing these techniques to determine the strengths and weaknesses of each technique. This paper aims at comparing two different instance-based matching techniques, namely: (i) regular expression and (ii) Google similarity to identify the match between attributes. Several analyses have been conducted on real and synthetic data sets to evaluate the performance of these techniques with respect to Precision (P), Recall (R) and F-Measure.
format	Article
author	Alzeber, Mogahed Aljuboori, Ali A.Alwan Nordin, Azlin Abualkishik, Abedallah Zaid
author_facet	Alzeber, Mogahed Aljuboori, Ali A.Alwan Nordin, Azlin Abualkishik, Abedallah Zaid
author_sort	Alzeber, Mogahed
title	An empirical comparative study of instance-based schema matching
title_short	An empirical comparative study of instance-based schema matching
title_full	An empirical comparative study of instance-based schema matching
title_fullStr	An empirical comparative study of instance-based schema matching
title_full_unstemmed	An empirical comparative study of instance-based schema matching
title_sort	empirical comparative study of instance-based schema matching
publisher	Institute of Advanced Engineering and Science (IAES)
publishDate	2018
url	http://irep.iium.edu.my/63238/ http://irep.iium.edu.my/63238/ http://irep.iium.edu.my/63238/ http://irep.iium.edu.my/63238/1/An%20Empirical%20Comparative%20Study%20of%20Instance-based%20Schema%20Matching_Published_Version.pdf http://irep.iium.edu.my/63238/7/63238_An%20empirical%20comparative%20study%20of%20instance-based_scopus.pdf
first_indexed	2023-09-18T21:29:42Z
last_indexed	2023-09-18T21:29:42Z
_version_	1777412428136448000

An empirical comparative study of instance-based schema matching

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