Automatic Structured Query Transformation Over Distributed Digital Libraries
M. Elena Renda* and Umberto Straccia**
* I.I.T - C.N.R. and Scuola Superiore Sant'Anna I-56100 Pisa (PI) ITALY
NB: This work was done when the author was a Research Assistant at I.S.T.I. - C.N.R., Pisa, Italy.
** I.S.T.I. - C.N.R.
I-56100 Pisa (PI) ITALY
Contacts:
Elena.Renda_AT_iit.cnr.it
Umberto.Straccia_AT_isti.cnr.it
Abstract. Structured data and complex schemas are becoming the main way to represent
the information many Digital Libraries provide, thus impacting the services
they offer. When searching information among distributed Digital Libraries with
heterogeneous schemas, the structured query with a given schema (the global or
target schema) has to be transformed into a query over the schema of the digital
library it will be submitted to (the source schema). Schema mappings define the
rules for this query transformation. Schema matching is the problem of learning
these mappings.
In this paper we address the issue of automatically learning these mappings
and transforming a structured query over the target schema into a new structured
query over the source schema. We propose a simple and effective schema matching
method based on the well known CORI selection algorithm and two ways of
applying it. By evaluating the effectiveness of the obtained structured queries we
show that the method works well in accessing distributed, heterogeneous digital
libraries.
Full article in PDF
© 2006 ACM 1-59593-108-2/06/0004
BibTex
@InProceedings{RendaSac06,
author = "Renda, M. Elena and Straccia, Umberto",
title = "Automatic Structured Query Transformation Over Distributed Digital Libraries",
booktitle = "Proc.\ of the 21st Annual ACM Symposium on Applied
Computing",
address = "Dijon, France",
year = "2006",
publisher = "{ACM} Press",
pages = "1078--1083"
}
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