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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.
Date of Conference: 4-9 Nov. 2007