The annotation of documents and web pages with semantic metatdata is an activity that can greatly increase the accuracy of Infor-mation Retrieval and Personalization systems, but the growing amount of text data available is too large for an extensive manual process. On the other hand, automatic keyphrase generation and wikification can significantly support this activity. In this demonstration we present a system that automatically extracts keyphrases, identifies candidate DB-pedia entities, and returns as output a set of RDF triples compliant with the Opengraph and the Schema.org vocabularies.
A Semantic Metadata Generator for Web Pages Based on Keyphrase Extraction
DE NART, Dario;TASSO, Carlo;DEGL'INNOCENTI, Dante
2014-01-01
Abstract
The annotation of documents and web pages with semantic metatdata is an activity that can greatly increase the accuracy of Infor-mation Retrieval and Personalization systems, but the growing amount of text data available is too large for an extensive manual process. On the other hand, automatic keyphrase generation and wikification can significantly support this activity. In this demonstration we present a system that automatically extracts keyphrases, identifies candidate DB-pedia entities, and returns as output a set of RDF triples compliant with the Opengraph and the Schema.org vocabularies.File in questo prodotto:
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