RT Conference Proceedings
T1 Query approximation in the case of incompletely aligned datasets
A1 Torre, Ana I.
A1 Bermudez, Jesus
A1 Illarramendi, Arantza
AB Clouds of Linked Open Data about the same domain promote the formulation of a query over a source dataset and then try to process the same query over different target datasets, one after another, in order to obtain a broader set of answers. However, heterogeneity of vocabularies used in the datasets and the scarce number of alignments among those datasets makes that querying task extremely difficult. This paper presents a proposal that allows on demand transformations of queries by using a set of transformation rules that are able to rewrite a query formulated over a source dataset into another query adequate for a target dataset, which approximates the original one. The approach relieves users from knowing the vocabulary used in the targeted datasets and even more it considers situations where alignments do not exist or they are not suitable for the formulated query. Therefore, in order to favor the possibility of getting answers, sometimes there is no guarantee of obtaining a semantically equivalent translation. Experiments with benchmark queries validate the feasibility of the proposal.
YR 2015
FD 2015
LK https://hdl.handle.net/11556/4644
UL https://hdl.handle.net/11556/4644
LA eng
NO Torre , A I , Bermudez , J & Illarramendi , A 2015 , ' Query approximation in the case of incompletely aligned datasets ' , Paper presented at 20th Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2015 - 20th Conference on Software Engineering and Databases, JISBD 2015 , Santander , Spain , 15/09/15 - 17/09/15 .
NO conference
NO Publisher Copyright: © 2015 Sistedes. All rights reserved.
NO This work is supported by the FEDER/TIN2013-46238-C4-1-R project, by the financial grant IT797-13 and the Iñaki Goenaga (FCT-IG) Technology Center Foundation.
DS TECNALIA Publications
RD 1 sept 2024