Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81010
Title: Operational Semantics for SPARQL Update
Authors: Horne, Ross
Sassone, Vladimiro
Gibbins, Nicholas
Issue Date: 2012
Source: Horne, R., Sassone, V., & Gibbins, N. (2015). Operational Semantics for SPARQL Update. Lecture Notes in Computer Science, 7185, 242-257.
metadata.dc.contributor.conference: Joint International Semantic Technology Conference (2011:Hangzhou,China)
Abstract: Concurrent fine grained updates are essential for using RDF stores in dynamic modern Web applications, where users increasingly contribute content as often as they read content. SPARQL Update is a language proposed by the W3C for fine grained updates for RDF stores. In this work we propose an operational semantics for an update language for RDF, which models core features of SPARQL Update. Firstly, an abstract syntax for RDF and updates is presented. Secondly, the operational semantics is defined using relations over the abstract syntax. The operational semantics specifies all possible operational behaviours of updates in the presence of an RDF store. The specification is useful as a common reference for compiler engineers and as a foundation for the static analysis of updates.
URI: https://hdl.handle.net/10356/81010
http://hdl.handle.net/10220/39006
DOI: 10.1007/978-3-642-29923-0_16
Schools: School of Computer Engineering 
Rights: © 2012 Springer-Verlag Berlin Heidelberg. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of the Joint International Semantic Technology Conference, Lecture Notes in Computer Science, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/978-3-642-29923-0_16].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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