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Titel:

Extracting Ego-Centric Social Networks from Linked Open Data

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Ghawi, Raji; Schoenfeld, Mirco; Pfeffer, Juergen
Abstract:
Linked Open Data (LOD) refers to freely available data on the WWW that are typically represented using Resource Description Framework (RDF). LOD is an invaluable source of rich and structured information, and enables a wide range of new applications, such as Social Network Analysis (SNA). In this paper, we address the extraction of social networks from LOD using SPARQL language, and we present various patterns to extract ego-centric networks. We also present two case studies: i) influence networ...     »
Kongress- / Buchtitel:
2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI)
Verlagsort:
Thessaloniki, Greece
Jahr:
2019
Monat:
Oct
Sprache:
en
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