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Designing a knowledge-based schema matching system for schema mapping


Anam, S and Kim, YS and Kang, BH and Liu, Q, Designing a knowledge-based schema matching system for schema mapping, Proceedings of the 13th Australasian Data Mining Conference (AusDM 2015), 8-9 August 2015, Sydney, Australia, pp. 69-77. ISBN 9781921770180 (2015) [Refereed Conference Paper]


Copyright Statement

Copyright 2015 Australian Computer Society, Inc.


Schema mapping that provides a unified view to the users is necessary to manage schema heterogeneity among different data sources. Schema matching is a required task for schema mapping that finds semantic correspondences between entity pairs of schemas. Semi-automatic schema matching systems were developed to overcome manual works for schema mapping. However, such approaches require a high manual effort for selecting the best combinations of matchers and also for evaluating the generated mappings. In order to avoid such manual works, we propose a Knowledge-based Schema Matching System (KSMS) that performs schema mapping both at the element and structure level matching. At the element level matching, the system combines different matching algorithms using a hybrid approach that consists of machine learning and knowledge engineering approaches. At the structure level matching, the system considers hierarchical structure that represents different contexts of a shared entity. The system can update knowledge if schema data changes over time. It also gives facilities to the users to verify and validate the schema matching results by incremental knowledge acquisition approach where rules are not predefined. Our experimental evaluation demonstrates that our system is able to improve the performance and to generate the accurate results.

Item Details

Item Type:Refereed Conference Paper
Keywords:schema matching, schema mapping, knowledge-based approach, element level and structure level matching
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information systems philosophy, research methods and theory
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Anam, S (Mrs Sarawat Anam)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:106699
Year Published:2015
Deposited By:Information and Communication Technology
Deposited On:2016-02-17
Last Modified:2017-11-20
Downloads:105 View Download Statistics

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