D4 Published development or research report or study

TRC-Matcher and enhanced TRC-Matcher. New Tools for Automatic XML Schema Matching




AuthorsLauri Mukkala, Jukka Arvo, Teijo Lehtonen, Timo Knuutila

PublisherUniversity of Turku

Publishing placeTurku

Publication year2017

Series titleUniversity of Turku Technical Reports

Number in series13

eISBN978-951-29-6856-5

Web address http://urn.fi/URN:ISBN:978-951-29-6856-5

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/29235897


Abstract

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.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.





Last updated on 2024-26-11 at 23:31