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Schema Matching Using Neural Network

You Li, Dongbo Liu, Weiming Zhang

Open publisher page 17 citations

Abstract

Schema matching plays a key role in data integration, data warehouse and e-business. This paper introduces a schema matching method SMDD based on neural network. By analyzing the characteristics of data distribution, it automatically fulfills the task of schema matching. It can be used independently or as a supplement of other schema matching methods. SMDD can improve the accuracy of schema matching from the point of view of data contents.

About this research paper

What this paper is about

Schema matching plays a key role in data integration, data warehouse and e-business. This paper introduces a schema matching method SMDD based on neural network. By analyzing the characteristics of data distribution, it automatically fulfills the task of schema matching. It can be used independently or as a supplement of other schema matching methods. SMDD can improve the accuracy of schema matching from the point of view of data contents.

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OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Schema matching plays a key role in data integration, data warehouse and e-business. This paper introduces a schema matching method SMDD based on neural network. By analyzing the characteristics of data distribution, it automatically fulfills the task of schema matching. It can be used independently or as a supplement of other schema matching methods. SMDD can improve the accuracy of schema matching from the point of view of data contents.

Key concepts: Schema matching, Star schema, Computer science, Schema (genetic algorithms), Conceptual schema, Schema migration, Data warehouse, Artificial neural network

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