TítuloOn the declassification of confidential documents
Publication TypeConference Proceedings
Year of Conference2011
AuthorsAbril D, Navarro-Arribas G, Torra V
Editor, Long J
Volume6820
EditorialSpringer
Paginación235-246
Conference LocationChangsha, China
Date Published28/07/2011
Palabras claveanonymity, Data Privacy, declassification, Information Retrieval, named-entity recognition, pattern classification, privacy preserving information retrieval, semantic
Resumen

Abstract. We introduce the anonymization of unstructured documents to settle the base of automatic declassification of confidential documents. Departing from known ideas and methods of data privacy, we introduce the main issues of unstructured document anonymization and propose the use of named entity recognition techniques from natural language processing and information extraction to identify the entities of the document that need to be protected.

URLhttp://www.springerlink.com/content/tg81j807q42x8837/