Managing efficiently and effectively very large amount of digital documents requires the definition of indexes able to capture and express documents' semantics. In this work, we propose an RDF based framework for semantic indexing of web pages considering the related textual information. In particular, we propose to capture the semantic nature of a given document, commonly expressed in natural language, by retrieving a number of RDF triples and to semantically index the documents on the base of meaning of the triples' elements (i.e. subject, verb, object). Preliminary experiments are reported to evaluate the proposed index strategy.
An RDF-Based Framework for Semantic Indexing of Web Pages / Amato, Flora; Moscato, Vincenzo; Fabio, Persia; Picariello, Antonio; Gargiulo, Francesco. - (2013), pp. 395-396. (Intervento presentato al convegno IEEE Seventh International Conference on Semantic Computing (ICSC 2013) tenutosi a Irvine, CA, USA nel September 16-18, 2013) [10.1109/ICSC.2013.76].
An RDF-Based Framework for Semantic Indexing of Web Pages
AMATO, FLORA;MOSCATO, VINCENZO;PICARIELLO, ANTONIO;GARGIULO, FRANCESCO
2013
Abstract
Managing efficiently and effectively very large amount of digital documents requires the definition of indexes able to capture and express documents' semantics. In this work, we propose an RDF based framework for semantic indexing of web pages considering the related textual information. In particular, we propose to capture the semantic nature of a given document, commonly expressed in natural language, by retrieving a number of RDF triples and to semantically index the documents on the base of meaning of the triples' elements (i.e. subject, verb, object). Preliminary experiments are reported to evaluate the proposed index strategy.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
