AMaχoS—Abstract Machine for Xcerpt

Bry, François; Furche, Tim and Linse, Benedikt (2006): AMaχoS—Abstract Machine for Xcerpt. Architecture and Principles. PPSWR 2006, 4th International Workshop Principles and Practice of Semantic Web Reasoning, Budva, Montenegro, 10. - 11. Juni 2006. Lecture Notes in Computer Science. Berlin u.a.: Springer. pp. 105-119

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 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.

• Item Type: Conference or Workshop Item (Paper)
• Form of publication: Postprint
• Faculties: Mathematics, Computer Science and Statistics > Computer Science
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science
• Place of Publication: Berlin u.a.
• Annotation: The final publication is available at link.springer.com
• Language: English