dc.contributor.authorCiobanu, Gabriel
dc.contributor.authorHorne, Ross
dc.contributor.authorSassone, Vladimiro
dc.identifier.citationCiobanu, G., Horne, R., & Sassone, V. (2014). Minimal type inference for Linked Data consumers. Journal of Logical and Algebraic Methods in Programming, 84(4), 485-504.en_US
dc.description.abstractWe provide an introduction to the Web of Linked Data from the perspective of a Web developer who would like to build an application using Linked Data. We identify a weakness in the development stack, namely a lack of domain specific scripting languages for designing background processes that consume Linked Data. To address this weakness, we design a scripting language with a simple but appropriate type system. In our proposed architecture, some data is consumed from sources outside of the control of the system and some data is held locally. Stronger type assumptions can be made about the local data than about external data, hence our type system mixes static and dynamic typing. We prove that our type system is algorithmic; and can therefore be used for minimal type inference. We also prove subject reduction and type safety results, which justify our claim that our language is statically type checked and does not throw basic runtime type errors. Throughout, we relate our work to the W3C recommendations that drive Linked Data, so that our syntax is accessible to Web developers.en_US
dc.relation.ispartofseriesJournal of Logical and Algebraic Methods in Programmingen_US
dc.rights© 2014 Elsevier Inc. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Logical and Algebraic Methods in Programming, Elsevier Inc. 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/10.1016/j.jlamp.2014.12.005].en_US
dc.subjectType systemsen_US
dc.subjectOperational semanticsen_US
dc.subjectLinked Dataen_US
dc.titleMinimal type inference for Linked Data consumersen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.versionAccepted versionen_US

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