Automatic identity recognition in the Semantic Web

Authors: 
Ferrara, A; Lorusso, D; Montanelli, S
Author: 
Ferrara, A
Lorusso, D
Montanelli, S
Year: 
2008
Venue: 
Proc. . ESWC workshop on Identity and Reference on the Semantic Web (IRSW)
URL: 
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.142.7403&rep=rep1&type=pdf
Citations: 
0
Citations range: 
n/a
AttachmentSize
10.1.1.142.7403.pdf670.38 KB

The OKKAM initiative1 has recently highlighted the need
of moving from the traditional web towards a \web of entities", where
real-world objects descriptions could be retrieved, univocally identi ed,
and shared over the web. In this paper, we propose our vision of the
entity recognition problem and, in particular, we propose methods and
techniques to capture the \identity" of a real entity in the SemanticWeb.
We claim that automatic techniques are needed to compare di erent
RDF descriptions of a domain with the goal of automatically detect
heterogeneous descriptions of the same real-world objects. Problems and
techniques to solve them are discussed together with some experimental
results on a real case study on web data.