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Using proximity to compute semantic relatedness in RDF graphs

Title
Using proximity to compute semantic relatedness in RDF graphs
Type
Article in International Scientific Journal
Year
2013
Authors
Jose Paulo Leal
(Author)
FCUP
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Journal
Vol. 10
Pages: 1727-1746
ISSN: 1820-0214
Publisher: ComSIS Consortium
Scientific classification
FOS: Natural sciences > Computer and information sciences
Other information
Authenticus ID: P-006-JVA
Abstract (EN): Extracting the semantic relatedness of terms is an important topic in several areas, including data mining, information retrieval and web recommendation. This paper presents an approach for computing the semantic relatedness of terns in RDF graphs based on the notion of proximity. It proposes a formal definition of proximity in terms of the set paths connecting two concept nodes, and an algorithm for finding this set and computing proximity with a given error margin. This algorithm was implemented on a tool called Shakti that extracts relevant ontological data for a given domain from DBpedia - a community effort to extract structured data from the Wikipedia. To validate the proposed approach Shakti was used to recommend web pages on a Portuguese social site related to alternative music and the results of that experiment are also reported.
Language: English
Type (Professor's evaluation): Scientific
Contact: zp@dcc.fc.up.pt
No. of pages: 20
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