Schema and ontology matching is a critical problem in many application
domains, such as semantic web, schema/ontology integration, data
warehouses, e-commerce, etc. Many different matching solutions have
been proposed so far. In this paper we present a new classification
of schema-based matching techniques that builds on the top of state
of the art in both schema and ontology matching. Some innovations
are in introducing new criteria which are based on (i) general properties
of matching techniques, (ii) interpretation of input information,
and (iii) the kind of input information. In particular, we distinguish
between approximate and exact techniques at schema-level; and syntactic,
semantic, and external techniques at element- and structure-level.
Based on the classification proposed we overview some of the recent
schema/ontology matching systems pointing which part of the solution
space they cover. The proposed classification provides a common conceptual
basis, and, hence, can be used for comparing different existing schema/ontology
matching techniques and systems as well as for designing new ones,
taking advantages of state of the art solutions.
%0 Book Section
%1 Shvaiko2005
%A Shvaiko, Pavel
%A Euzenat, Jérôme
%D 2005
%J Journal on Data Semantics IV
%K others
%P 146--171
%R 10.1007/11603412\_5
%T A Survey of Schema-Based Matching Approaches
%U http://dx.doi.org/10.1007/11603412\_5
%X Schema and ontology matching is a critical problem in many application
domains, such as semantic web, schema/ontology integration, data
warehouses, e-commerce, etc. Many different matching solutions have
been proposed so far. In this paper we present a new classification
of schema-based matching techniques that builds on the top of state
of the art in both schema and ontology matching. Some innovations
are in introducing new criteria which are based on (i) general properties
of matching techniques, (ii) interpretation of input information,
and (iii) the kind of input information. In particular, we distinguish
between approximate and exact techniques at schema-level; and syntactic,
semantic, and external techniques at element- and structure-level.
Based on the classification proposed we overview some of the recent
schema/ontology matching systems pointing which part of the solution
space they cover. The proposed classification provides a common conceptual
basis, and, hence, can be used for comparing different existing schema/ontology
matching techniques and systems as well as for designing new ones,
taking advantages of state of the art solutions.
@incollection{Shvaiko2005,
abstract = {Schema and ontology matching is a critical problem in many application
domains, such as semantic web, schema/ontology integration, data
warehouses, e-commerce, etc. Many different matching solutions have
been proposed so far. In this paper we present a new classification
of schema-based matching techniques that builds on the top of state
of the art in both schema and ontology matching. Some innovations
are in introducing new criteria which are based on (i) general properties
of matching techniques, (ii) interpretation of input information,
and (iii) the kind of input information. In particular, we distinguish
between approximate and exact techniques at schema-level; and syntactic,
semantic, and external techniques at element- and structure-level.
Based on the classification proposed we overview some of the recent
schema/ontology matching systems pointing which part of the solution
space they cover. The proposed classification provides a common conceptual
basis, and, hence, can be used for comparing different existing schema/ontology
matching techniques and systems as well as for designing new ones,
taking advantages of state of the art solutions.},
added-at = {2013-08-04T14:35:14.000+0200},
author = {Shvaiko, Pavel and Euzenat, J\'{e}r\^{o}me},
biburl = {https://www.bibsonomy.org/bibtex/2294884a5e6621ac9d0c50883604c8938/francesco.k},
citeulike-article-id = {1669034},
doi = {10.1007/11603412\_5},
file = {:JoDS-IV-2005_SurveyMatching-SE.pdf:PDF},
interhash = {759d45f827c4f0f64a534b08d6819571},
intrahash = {294884a5e6621ac9d0c50883604c8938},
journal = {Journal on Data Semantics IV},
keywords = {others},
pages = {146--171},
posted-at = {2008-02-17 10:07:27},
priority = {2},
timestamp = {2013-08-04T14:35:15.000+0200},
title = {A Survey of Schema-Based Matching Approaches},
url = {http://dx.doi.org/10.1007/11603412\_5},
year = 2005
}