Evaluating class assignment semantic redundancy on linked datasets
Mendoza, Leandro
Evaluating class assignment semantic redundancy on linked datasets - , 2016 - 1 archivo (1,9 MB)
Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
In this work we address the concept of semantic redundancy in linked datasets considering class assignment assertions. We discuss how redundancy can be evaluated as well as the relationship between redundancy and three class hierarchy aspects: the number of instances a class has, number of class descendants and class depth. Finally, we performed an evaluation on the DBpedia dataset using SPARQL queries for data redundancy checks.
DIF007043
WEB SEMÁNTICA
redundancia
Evaluating class assignment semantic redundancy on linked datasets - , 2016 - 1 archivo (1,9 MB)
Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
In this work we address the concept of semantic redundancy in linked datasets considering class assignment assertions. We discuss how redundancy can be evaluated as well as the relationship between redundancy and three class hierarchy aspects: the number of instances a class has, number of class descendants and class depth. Finally, we performed an evaluation on the DBpedia dataset using SPARQL queries for data redundancy checks.
DIF007043
WEB SEMÁNTICA
redundancia