eCite Digital Repository
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, Lecture Notes in Artificial Intelligence 8862: Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014), 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 |
UTAS Author: | Anam, S (Mrs Sarawat Anam) |
UTAS Author: | Kim, YS (Dr Yang Kim) |
UTAS Author: | Kang, BH (Professor Byeong Kang) |
ID Code: | 98399 |
Year Published: | 2014 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2015-02-13 |
Last Modified: | 2018-03-18 |
Downloads: | 0 |
Repository Staff Only: item control page