Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80953
Title: Descriptive Types for Linked Data Resources
Authors: Horne, Ross
Sassone, Vladimiro
Ciobanu, Gabriel
Issue Date: 2015
Source: Ciobanu, G., Horne, R., & Sassone, V. (2015). Descriptive Types for Linked Data Resources. Lecture Notes in Computer Science, 8974, 1-25.
Abstract: This work introduces the notion of descriptive typing. Type systems are typically prescriptive in the sense that they prescribe a space of permitted programs. In contrast, descriptive types assigned to resources in Linked Data provide useful annotations that describe how a resource may be used. Resources are represented by URIs that have no internal structure, hence there is no a priori type for a resource. Instead of raising compile time errors, a descriptive type system raises runtime warnings with a menu of options that make suggestions to the programmer. We introduce a subtype system, algorithmic type system and operational semantics that work together to characterise how descriptive types are used. The type system enables RDF Schema inference and several other modes of inference that are new to Linked Data.
URI: https://hdl.handle.net/10356/80953
http://hdl.handle.net/10220/39005
DOI: 10.1007/978-3-662-46823-4_1
Rights: © 2015 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 9th International Ershov Informatics Conference (PSI 2014), 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/10.1007/978-3-662-46823-4_1].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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