Database Schema Matching - Islam, Aminul
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This book presents a method for database schema matching, the problem of identifying elements of two given schemas that correspond to each other. Schema matching is useful in e-commerce exchanges, in data integration/warehousing, and in Semantic Web applications. It first presents two corpus-based methods: one method is for determining the semantic similarity of two target words and the other is for automatic word segmentation. Then it presents a name-based element-level database schema matching method that exploits both the semantic similarity and the word segmentation methods.

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Produktbeschreibung
This book presents a method for database schema
matching, the problem of identifying elements of two
given schemas that correspond to each other. Schema
matching is useful in e-commerce exchanges, in data
integration/warehousing, and in Semantic Web
applications. It first presents two corpus-based
methods: one method is for determining the semantic
similarity of two target words and the other is for
automatic word segmentation. Then it presents a
name-based element-level database schema matching
method that exploits both the semantic similarity and
the word segmentation methods.
Autorenporträt
Aminul Islam's research interests and publications are in the
areas of computational linguistics and language engineering. His
research work has been published in premium journals including
the VLDB Journal and ACM TKDD. A recipient of the prestigious
NSERC scholorship, he is currently working towards his Ph.D. at
uOttawa, Canada.