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Semantic micro-contributions with decentralized nanopublication services.

Tobias Kuhn1, Ruben Taelman2, Vincent Emonet3

  • 1Department of Computer Science, VU Amsterdam, Amsterdam, Netherlands.

Peerj. Computer Science
|April 5, 2021
PubMed
Summary

Publishing Linked Data is simplified using nanopublications and a decentralized network. Nanobench, a user-friendly interface, enables direct publishing of small data statements, overcoming traditional complexities.

Keywords:
Linked dataNanopublicationsSemantic WebSemantic publishing

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Area of Science:

  • Computer Science
  • Information Science

Background:

  • Linked Data publication is complex and centralized.
  • Existing methods struggle with subjective or original data entries.
  • Decentralized approaches are needed to simplify data publishing.

Purpose of the Study:

  • To present a novel approach for decentralized Linked Data publishing.
  • To enable direct publishing of small Linked Data statements by users.
  • To address the limitations of traditional, heavy-weight Linked Data release processes.

Main Methods:

  • Utilizing nanopublications for small, verifiable data statements.
  • Developing Nanobench, a user-friendly interface powered by semantic templates.
  • Implementing a decentralized network of services using grlc API generator and Triple Pattern Fragments (TPF) with quad extension.

Main Results:

  • Nanopublications are cryptographically verifiable and queryable via a decentralized network.
  • The combination of grlc and TPF extension provides reliable and efficient querying.
  • Nanobench significantly eases Linked Data publishing for inexperienced users.

Conclusions:

  • The proposed approach simplifies Linked Data publishing through decentralization and user-friendly tools.
  • Nanopublications and the Nanobench system offer a viable alternative to traditional methods.
  • This facilitates broader participation in the Linked Data ecosystem.