Efficient Query Evaluation over Compressed XML Data (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Efficient Query Evaluation over Compressed XML Data (Articolo in rivista) (literal)

Anno

• 2004-01-01T00:00:00+01:00 (literal)

Alternative label

• Arion Andrei, Bonifati Angela, Costa Gianni, D'Aguanno Sandra, Manolescu I., Pugliese Andrea (2004)
  Efficient Query Evaluation over Compressed XML Data
  in Lecture notes in computer science
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Arion Andrei, Bonifati Angela, Costa Gianni, D'Aguanno Sandra, Manolescu I., Pugliese Andrea (literal)

Pagina inizio

• 200 (literal)

Pagina fine

• 218 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 2992- (literal)

Rivista

• Lecture notes in computer science (Rivista)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR-CNR (literal)

Titolo

• Efficient Query Evaluation over Compressed XML Data (literal)

Abstract

• XML suffers from the major limitation of high redundancy. Even if compression can be beneficial for XML data, however, once compressed, the data can be seldom browsed and queried in an efficient way. To address this problem, we propose XQueC, an XQuery processor and Compressor, which covers a large set of XQuery queries in the compressed domain. We shred compressed XML into suitable data structures, aiming at both reducing memory usage at query time and querying data while compressed. XQueC is the first system to take advantage of a query workload to choose the compression algorithms, and to group the compressed data granules according to their common properties. By means of experiments, we show that good trade-offs between compression ratio and query capability can be achieved in several real cases, as those covered by an XML benchmark. On average, XQueC improves over previous XML query-aware compression systems, still being reasonably closer to general-purpose query-unaware XML compressors. Finally, QETs for a wide variety of queries show that XQueC can reach speed comparable to XQuery engines on uncompressed data. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• ANGELA BONIFATI (Persona)
• GIOVANNI COSTA (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR di

• ANGELA BONIFATI (Persona)
• GIOVANNI COSTA (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Lecture notes in computer science (Rivista)