Mining Social Networks from Linked Open Data

被引：4

作者：

Ghawi, Raji ^{[1
]}

Pfeffer, Juergen ^{[1
]}

机构：

[1] Tech Univ Munich, Bavarian Sch Publ Policy, Munich, Germany

来源：

GRAPH-BASED REPRESENTATION AND REASONING (ICCS 2019) | 2019年 / 11530卷

关键词：

LOD; SNA; RDF; SPARQL algebra; Extraction patterns;

D O I：

10.1007/978-3-030-23182-8_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The richness and openness of Linked Open Data (LOD) make them invaluable resources of information, and create new opportunities for many areas of application. In this paper, we address the exploitation of LOD by utilizing SPARQL queries in order to extract social networks of entities. This enables the application of techniques from Social Network Analysis to study social interactions among entities, providing deep insights into their latent social structure.

引用

页码：221 / 229

页数：9

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