TY  - CONF
AU  - Pereira Nunes, Bernardo
AU  - Kawase, Ricardo
AU  - Dietze, Stefan
AU  - Taibi, Davide
AU  - Casanova, Marco Antonio
AU  - Nejdl, Wolfgang
A2  - Rizzo, Giuseppe
A2  - Mendes, Pablo
A2  - Charton, Eric
A2  - Hellmann, Sebastian
A2  - Kalyanpur, Aditya
T1  - Can Entities be Friends?
T2  - Proceedings of the Web of Linked Entities Workshop in conjuction with the 11th International Semantic Web Conference
PB  - 
CY  - 
PY  - 2012/november
M2  - 
VL  - 906
IS  - 
SP  - 45
EP  - 57
UR  - http://ceur-ws.org/Vol-906/paper6.pdf
M3  - 
KW  - data
KW  - detection
KW  - entity
KW  - graph
KW  - linked
KW  - relation
KW  - web
L1  - 
SN  - 
N1  - 
N1  - 
AB  - The richness of the (Semantic) Web lies in its ability to link related resources as well as data across the Web. However, while relations within particular datasets are often well defined, links between disparate datasets and corpora of Web resources are rare. The increasingly widespread use of cross-domain reference datasets, such as Freebase and DBpedia for annotating and enriching datasets as well as document corpora, opens up opportunities to exploit their inherent semantics to uncover semantic relationships between disparate resources. In this paper, we present an approach to uncover relationships between disparate entities by analyzing the graphs of used reference datasets. We adapt a relationship assessment methodology from social network theory to measure the connectivity between entities in reference datasets and exploit these measures to identify correlated Web resources. Finally, we present an evaluation of our approach using the publicly available datasets Bibsonomy and USAToday. 
ER  -