The Reasonable Ontology Templates Framework

Authors Martin Georg Skjæveland , Leif Harald Karlsen



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Author Details

Martin Georg Skjæveland
  • Department of Informatics, University of Oslo, Norway
Leif Harald Karlsen
  • Department of Informatics, University of Oslo, Norway

Acknowledgements

We wish to thank all past members of the OTTR project: Chris Kindermann, Daniel Lupp, Evgenij Thorstensen, Henrik Forssell, Laura Slaughter, Oliver Stahl; its associated master students: Erik Snilsberg, Lars Ivar Bull Larssen, Magnus Wiik Eckhoff, Marlen Jarholt, Preben Zahl, Shanshan Qu; part-time programmers: Fariha Hossain, Humza Ahmad, Vinicius Graciolli, Yiyao Chen; and SHS for their contributions to the OTTR framework. We are also grateful to the users of the OTTR framework for all their feedback and support.

Cite As Get BibTex

Martin Georg Skjæveland and Leif Harald Karlsen. The Reasonable Ontology Templates Framework. In Special Issue on Resources for Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 2, pp. 5:1-5:54, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/TGDK.2.2.5

Abstract

Reasonable Ontology Templates (OTTR) is a templating language for representing and instantiating patterns. It is based on simple and generic, but powerful, mechanisms such as recursive macro expansion, term substitution and type systems, and is designed particularly for building and maintaining RDF knowledge graphs and OWL ontologies.
In this resource paper, we present the formal specifications that define the OTTR framework. This includes the fundamentals of the OTTR language and the adaptions to make it fit with standard semantic web languages, and two serialization formats developed for semantic web practitioners. We also present the OTTR framework’s support for documenting, publishing and managing template libraries, and for tools for practical bulk instantiation of templates from tabular data and queryable data sources. The functionality of the OTTR framework is available for use through Lutra, an open-source reference implementation, and other independent implementations. We report on the use and impact of OTTR by presenting selected industrial use cases. Finally, we reflect on some design considerations of the language and framework and present ideas for future work.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Ontology engineering
  • Information systems → Data management systems
  • Computing methodologies → Modeling methodologies
Keywords
  • Ontology engineering
  • Ontology design patterns
  • Template mechanism
  • Macros

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