Using proximity to compute semantic relatedness in RDF graphs

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

Jose Paulo Leal (Autor) FCUP

Revista

Título: Computer Science and Information Systems

Vol. 10

Páginas: 1727-1746

ISSN: 1820-0214

Editora: ComSIS Consortium

Indexação

ISI Web of Knowledge - 10 Citações

Scopus - 16 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-006-JVA

DOI: 10.2298/csis121130060l

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20