Descriptive Types for Linked Data Resources
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. Reso...
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sg-ntu-dr.10356-809532020-05-28T07:17:29Z Descriptive Types for Linked Data Resources Horne, Ross Sassone, Vladimiro Ciobanu, Gabriel Voronkov, Andrei Virbitskaite, Irina School of Computer Engineering Lecture Notes in Computer Science 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. Accepted version 2015-12-08T09:08:14Z 2019-12-06T14:18:11Z 2015-12-08T09:08:14Z 2019-12-06T14:18:11Z 2015 Conference Paper Ciobanu, G., Horne, R., & Sassone, V. (2015). Descriptive Types for Linked Data Resources. Lecture Notes in Computer Science, 8974, 1-25. https://hdl.handle.net/10356/80953 http://hdl.handle.net/10220/39005 10.1007/978-3-662-46823-4_1 en © 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]. 24 p. application/pdf |
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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. |
author2 |
Voronkov, Andrei |
author_facet |
Voronkov, Andrei Horne, Ross Sassone, Vladimiro Ciobanu, Gabriel |
format |
Conference or Workshop Item |
author |
Horne, Ross Sassone, Vladimiro Ciobanu, Gabriel |
spellingShingle |
Horne, Ross Sassone, Vladimiro Ciobanu, Gabriel Descriptive Types for Linked Data Resources |
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Horne, Ross |
title |
Descriptive Types for Linked Data Resources |
title_short |
Descriptive Types for Linked Data Resources |
title_full |
Descriptive Types for Linked Data Resources |
title_fullStr |
Descriptive Types for Linked Data Resources |
title_full_unstemmed |
Descriptive Types for Linked Data Resources |
title_sort |
descriptive types for linked data resources |
publishDate |
2015 |
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https://hdl.handle.net/10356/80953 http://hdl.handle.net/10220/39005 |
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1681056281035538432 |