Pattern-based linked data publication: The linked chess dataset case

Victor Rodriguez-Doncel, Adila Alfa Krisnadhi, Pascal Hitzler, Michelle Cheatham, Nazifa Karima, Reihaneh Amini

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

This paper discusses the relationship between ontology de- sign 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.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1426
Publication statusPublished - 1 Jan 2015
Event6th International Workshop on Consuming Linked Data, COLD 2015 - co-located with 14th International Semantic Web Conference, ISWC 2105 - Bethlehem, United States
Duration: 12 Oct 2015 → …

Keywords

  • Chess
  • Linked Data
  • Ontology Design Patterns

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    Rodriguez-Doncel, V., Krisnadhi, A. A., Hitzler, P., Cheatham, M., Karima, N., & Amini, R. (2015). Pattern-based linked data publication: The linked chess dataset case. CEUR Workshop Proceedings, 1426.