An RDF-Based Framework for Semantic Indexing of Web Pages

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.