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Authordc.contributor.authorAdiego, Joaquín es_CL
Authordc.contributor.authorNavarro, Gonzalo es_CL
Authordc.contributor.authorFuente, Pablo de la es_CL
Admission datedc.date.accessioned2008-05-14T14:12:05Z
Available datedc.date.available2008-05-14T14:12:05Z
Publication datedc.date.issued2007es_CL
Cita de ítemdc.identifier.citationJOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY Vol. 58 01/02/2015 2007 4 461-478es_CL
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/124722
General notedc.descriptionPublicación ISIes_CL
Abstractdc.description.abstractThe authors describe Lempel-Ziv to Compress Structure (LZCS), a novel Lempel-Ziv approach suitable for compressing structured documents. LZCS takes advantage of repeated substructures that may appear in the documents, by replacing them with a backward reference to their previous occurrence. The result of the LZCS transformation is still a valid structured document, which is human-readable and can be transmitted by ASCII channels. Moreover, LZCS transformed documents are easy to search, display, access at random, and navigate. In a second stage, the transformed documents can be further compressed using any semistatic technique, so that it is still possible to do all those operations efficiently; or with any adaptive technique to boost compression. LZCS is especially efficient in the compression of collections of highly structured data, such as extensible markup language (XML) forms, invoices, e-commerce, and Web-service exchange documents. The comparison with other structure-aware and standard compressors shows that LZCS is a competitive choice for these type of documents, whereas the others are not well-suited to support navigation or random access. When joined to an adaptive compressor, LZCS obtains by far the best compression ratios.es_CL
Lenguagedc.language.isoenes_CL
Keywordsdc.subjectPROXIMAL NODESes_CL
Area Temáticadc.subject.otherComputer Science, Information Systems; Information Science & Library Sciencees_CL
Títulodc.titleLempel-Ziv compression of highly structured documentses_CL
Document typedc.typeArtículo de revista


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