D4 Published development or research report or study
TRC-Matcher and enhanced TRC-Matcher. New Tools for Automatic XML Schema Matching
Authors: Lauri Mukkala, Jukka Arvo, Teijo Lehtonen, Timo Knuutila
Publisher: University of Turku
Publishing place: Turku
Publication year: 2017
Series title: University of Turku Technical Reports
Number in series: 13
eISBN: 978-951-29-6856-5
Web address : http://urn.fi/URN:ISBN:978-951-29-6856-5
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/29235897
Modern society depends on the access to a wide range of information that is located
in heterogeneous data sources. Schema matching is a task of finding relationships
among data source elements automatically. However, most of the existing schema
matching software are semi-automatic meaning that they need a lot of interaction
from an expert familiar with the systems being integrated. In this work, we propose
a new hybrid matcher algorithm, called TRC-matcher, that is targeted for matching
business oriented XML schemas with none or minor user assistance. When compared
to previously published schema matching methods, the efficiency of the new
algorithm is based on a new content profiling algorithm and on intelligent combination
of matching results of multiple matching algorithms. In addition, an enhanced
version of the TRC-Matcher is introduced that combines machine learning methods
together with few new matching algorithms.
Downloadable publication This is an electronic reprint of the original article. |