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Compartido el 7 . 5 . 2009 por Ricardo Alonso Maturana

Enlace a UMBC eBiquity Publications en el que se puede descargar el artículo de investigación del proyecto Swoogle, un sistema realiza búsquedas en la web semántica.
Autores: Li Ding, Tim Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal C Doshi, and Joel Sachs
Abstract: Swoogle is a crawler-based indexing and retrieval system for the Semantic Web. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is textit {ontology rank}, a measure of the importance of a Semantic Web document.

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