Defining Key Semantics for the RDF Datasets: Experiments and Evaluations

被引：9

作者：

Atencia, Manuel ^{[1
,4
]}

Chein, Michel ^{[2
,4
]}

Croitoru, Madalina ^{[2
,4
]}

David, Jerome ^{[1
,4
]}

Leclere, Michel ^{[2
,4
]}

Pernelle, Nathalie ^{[3
]}

Sais, Fatiha ^{[3
]}

Scharffe, Francois ^{[2
]}

Symeonidou, Danai ^{[3
]}

机构：

[1] Univ Grenoble Alpes, LIG, Grenoble, France

[2] Univ Montpellier 2, LIRMM, F-34095 Montpellier 5, France

[3] Univ Paris Sud, LRI, Paris, France

[4] Inria, Le Chesnay, France

来源：

GRAPH-BASED REPRESENTATION AND REASONING | 2014年 / 8577卷

关键词：

D O I：

10.1007/978-3-319-08389-6_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Many techniques were recently proposed to automate the linkage of RDF datasets. Predicate selection is the step of the linkage process that consists in selecting the smallest set of relevant predicates needed to enable instance comparison. We call keys this set of predicates that is analogous to the notion of keys in relational databases. We explain formally the different assumptions behind two existing key semantics. We then evaluate experimentally the keys by studying how discovered keys could help dataset interlinking or cleaning. We discuss the experimental results and show that the two different semantics lead to comparable results on the studied datasets.

引用

页码：65 / 78

页数：14

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