Pattern-Based Linked Data Publication: The Linked Chess Dataset Case

نویسندگان

  • Víctor Rodríguez-Doncel
  • Adila Krisnadhi
  • Pascal Hitzler
  • Michelle Cheatham
  • Nazifa Karima
  • Reihaneh Amini
چکیده

This paper discusses the relationship between ontology design patterns (ODPs), data models and linked data, proposing a method that simplifies the task of publishing linked data while adhering to good modeling practices that reuse well-studied ODPs. The method consists of providing the pattern along with a simplified view of it, the conversion queries to transform one into the other and the constraints to verify pattern conformance. The proposed process simplifies the tasks of the domain experts but preserves the integrity of the design patterns, favoring a well-designed and well documented data model which fosters data reuse. The work is illustrated with a linked dataset of chess games with the key information mapped to other linked datasets and supported by formalized design patterns. A chess dataset is presented as linked data.

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تاریخ انتشار 2015