Title
Semantic web datatype similarity: Towards better RDF document matching
Date Issued
01 January 2017
Access level
open access
Resource Type
conference paper
Author(s)
Université de Pau et des Pays de l'Adour
Publisher(s)
Springer Verlag
Abstract
With the advance of the Semantic Web, the need to integrate and combine data from different sources has increased considerably. Many efforts have focused on RDF document matching. However, they present limited approaches in the context of datatype similarity. This paper addresses the issue of datatype similarity for the Semantic Web as a first step towards a better RDF document matching. We propose a datatype hierarchy, based on W3C’s XSD datatype hierarchy, that better captures the subsumption relationship among primitive and derived datatypes. We also propose a new datatype similarity measure, that takes into consideration several aspects related to the new hierarchical relations between compared datatypes. Our experiments show that the new similarity measure, along with the new hierarchy, produces better results (closer to what a human expert would think about the similarity of compared datatypes) than the ones described in the literature.
Start page
189
End page
205
Volume
10438 LNCS
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Ciencias de la computación
Scopus EID
2-s2.0-85028449231
ISSN of the container
03029743
ISBN of the container
9783319644677
Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): 28th International Conference on Database and Expert Systems Applications, DEXA 2017
Sources of information: Directorio de Producción Científica Scopus