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SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Aurora: a new model and architecture for data stream management
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SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
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ICDE '05 Proceedings of the 21st International Conference on Data Engineering
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Journal of the ACM (JACM)
Beyond XML and RDF: the versatile web query language xcerpt
Proceedings of the 15th international conference on World Wide Web
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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 the 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.