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Evaluation of terminological schema matching and Its implications for schema mapping

Citation

Anam, S and Kim, YS and Kang, BH and Liu, Q, Evaluation of terminological schema matching and Its implications for schema mapping, 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014) Proceedings, 1-5 December 2014, Gold Coast, Australia, pp. 561-572. ISSN 0302-9743 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 Springer International Publishing Switzerland

DOI: doi:10.1007/978-3-319-13560-1_45

Abstract

Recently large amounts of schema data, which describe data structure of various domains such as purchase order, health, publication, geography, agriculture, environment and music, are available over the Web. Schema mapping aims to solve schema heterogeneity problem in schema data. This research thoroughly examines how string similarity metrics and text processing techniques impact on the performance of terminological schema mapping and high-lights their limitations. Our experimental study demonstrates that the performance of terminological schema matching is significantly improved by using text processing techniques. However, the performance improvement is slightly different between datasets because of the characteristics of the datasets, and in spite of applying all text processing techniques, some datasets still exhibit low performance. Our research supports the claim that a system which can manage the context dependent characteristics of terminological schema matching is es-sential for better schema mapping algorithms.

Item Details

Item Type:Refereed Conference Paper
Keywords:schema mapping, terminological schema matching, string metrics
Research Division:Information and Computing Sciences
Research Group:Computer Software
Research Field:Computer Software not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Software and Services not elsewhere classified
Author:Anam, S (Mrs Sarawat Anam)
Author:Kim, YS (Dr Yang Kim)
Author:Kang, BH (Professor Byeong Kang)
ID Code:98399
Year Published:2014
Deposited By:Computing and Information Systems
Deposited On:2015-02-13
Last Modified:2017-11-13
Downloads:0

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