Search (4 results, page 1 of 1)

  • × author_ss:"Navarro, G."
  • × language_ss:"e"
  • × year_i:[2000 TO 2010}
  1. Baeza-Yates, R.; Navarro, G.: XQL and proximal nodes (2002) 0.01 
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  2. Baeza-Yates, R.; Navarro, G.: Block addressing indices for approximate text retrieval (2000) 0.01 
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  3. Navarro, G.; Baeza-Yates, R.; Azevedo Arcoverde, J.M.: Matchsimile : a flexible approximate matching tool for searching proper names (2003) 0.01 
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  4. Adiego, J.; Navarro, G.; Fuente, P. de la: Lempel-Ziv compression of highly structured documents (2007) 0.01 
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    Abstract
    The 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.

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