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.