DYMS (dynamic matcher selector)-scenario-based schema matcher selector
DYMS (dynamic matcher selector)-scenario-based schema matcher selector
Schema matching is one of the main challenges in different information system integration contexts. Over the past 20 years, different schema matching methods have been proposed and shown to be successful in various situations. Although numerous advanced matching algorithms have emerged, schema matching research remains a critical issue. Different algorithms are implemented to resolve different types of schema heterogeneities, including differences in design methodologies, naming conventions, and the level of specificity of schemas, amongst others. The algorithms are usually too generic regardless of the schema matching scenario. This situation indicates that a single matcher cannot be optimized for all matching scenarios. In this research, I proposed a dynamic matcher selector (DYMS) as a probable solution to the aforementioned problem. The proposed DYMS analyzes the schema matching scenario and selects the most appropriate matchers for a given scenario. Selecting matchers are weighted based on the parameter optimization process, which adopts the heuristic learning approach. The DYMS returns the alignment result of input schemas.
Matcher selection, Schema integration, Schema matching, Schema matching strategy
Choi, Youngseok
928c489e-7c5b-42fc-bad8-77ce717ba106
2013
Choi, Youngseok
928c489e-7c5b-42fc-bad8-77ce717ba106
Choi, Youngseok
(2013)
DYMS (dynamic matcher selector)-scenario-based schema matcher selector.
In Proceedings - Pacific Asia Conference on Information Systems, PACIS 2013.
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Conference or Workshop Item
(Paper)
Abstract
Schema matching is one of the main challenges in different information system integration contexts. Over the past 20 years, different schema matching methods have been proposed and shown to be successful in various situations. Although numerous advanced matching algorithms have emerged, schema matching research remains a critical issue. Different algorithms are implemented to resolve different types of schema heterogeneities, including differences in design methodologies, naming conventions, and the level of specificity of schemas, amongst others. The algorithms are usually too generic regardless of the schema matching scenario. This situation indicates that a single matcher cannot be optimized for all matching scenarios. In this research, I proposed a dynamic matcher selector (DYMS) as a probable solution to the aforementioned problem. The proposed DYMS analyzes the schema matching scenario and selects the most appropriate matchers for a given scenario. Selecting matchers are weighted based on the parameter optimization process, which adopts the heuristic learning approach. The DYMS returns the alignment result of input schemas.
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Published date: 2013
Keywords:
Matcher selection, Schema integration, Schema matching, Schema matching strategy
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Local EPrints ID: 437736
URI: http://eprints.soton.ac.uk/id/eprint/437736
PURE UUID: 0349fd2c-94da-4b24-b0cb-d49a8a21bee4
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Date deposited: 13 Feb 2020 17:31
Last modified: 08 Jan 2022 03:42
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Author:
Youngseok Choi
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