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Descriptive Types for Linked Data Resources

  • Gabriel Ciobanu
  • Ross HorneEmail author
  • Vladimiro Sassone
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8974)

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.

Keywords

Type System Resource Description Framework Link Data Operational Semantic Atomic Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We are grateful to the organisers of the Ershov memorial conference, PSI 2014, for inviting this work to be presented as a keynote speech. The work of the first and second authors was supported by a grant of the Romanian National Authority for Scientific Research, project number PN-II-ID-PCE-2011-3-0919.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Gabriel Ciobanu
    • 1
  • Ross Horne
    • 1
    • 2
    Email author
  • Vladimiro Sassone
    • 3
  1. 1.Institute of Computer ScienceRomanian AcademyIaşiRomania
  2. 2.Faculty of Information TechnologyKazakh-British Technical UniversityAlmatyKazakhstan
  3. 3.Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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