We present an efficient compression algorithm specifically devised and implemented to reduce size of document instances expressed in various ontological languages, and specifically targeted at DIG 1.1 syntax. Motivation derives from a widespread exploitation of Knowledge Representation formalisms in innovative ubiquitous computing contexts. In carried out tests, the compressor we present showed better compression rates than currently available general-purpose XML compression tools
An efficient data compression algorithm for semantic-based ubiquitous computing applications / Ruta, Michele; DI NOIA, Tommaso; DI SCIASCIO, Eugenio; Scioscia, Floriano. - (2007), pp. 177-182. ( International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2007) Papeete, French Polynesia (Tahiti) November 4 - 9, 2007) [10.1109/UBICOMM.2007.33].
An efficient data compression algorithm for semantic-based ubiquitous computing applications
RUTA, Michele;DI NOIA, Tommaso;DI SCIASCIO, Eugenio;SCIOSCIA, Floriano
2007
Abstract
We present an efficient compression algorithm specifically devised and implemented to reduce size of document instances expressed in various ontological languages, and specifically targeted at DIG 1.1 syntax. Motivation derives from a widespread exploitation of Knowledge Representation formalisms in innovative ubiquitous computing contexts. In carried out tests, the compressor we present showed better compression rates than currently available general-purpose XML compression toolsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
