François Bry, Tim Furche, Benedikt Linse:
Tim Furche (editor):
Efficient Framework for Xcerpt Processing: Principles and Architecture of the AMaχoS Abstract Machine for Xcerpt.
Abstract
Web query languages promise convenient and efficient access to
Web data such as XML, RDF, or Topic Maps. Xcerpt is one such Web query
language with strong emphasis on novel high-level constructs for effective
and convenient query authoring, particularly tailored to versatile access
to data in different Web formats such as XML or RDF. However, so far it
lacks an efficient implementation to supplement the convenient language
features. AMaχoS is an abstract machine implementation for Xcerpt that
aims at efficiency and ease of deployment. It strictly separates
compilation and execution of queries. Queries are compiled once to abstract
machine code that consists in (1)a code segment with instructions for
evaluating each rule and (2)a hint segment that provides abstract machine
with optimization hints derived by the query compilation. This article
summarizes the motivation and principles behind AMaχoS and discusses
how its current architecture realizes these principles.
URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-DEL-2006-I4-D7
@deliverable{REWERSE-DEL-2006-I4-D7,
url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-DEL-2006-I4-D7}
}