Relators

Connecting knowledge subjects via object properties

Relators as first-class subjects

Relators are knowledge subjects that are not instantiated only by classes but by object properties: they connect two or more other knowledge subjects and may link to each other. The instantiation principle parallels classes; relators are treated as first-class citizens alongside classes.

Composite kinship or social relations are typical applications; see [GuAl2015] for powertype and relator analyses and [FoAl2021] for multi-level modeling. [AlHe2020] relates the idea to RDF/OWL modelling.

Chains and derived relations

Knowledge subjects also connect through chains of object properties, which justify shortcuts such as “aunt” from parent and sibling relations. Relators can define several variants of the same concept depending on which participants are linked.

deriver.app

Explicit triples and rule preconditions should stay consistent when you refactor graphs: relator nodes and plain OP chains are two encodings that must not contradict each other.

Source: taoke.de — Relators · Relational concept construction.

References

  1. [GuAl2015] Giancarlo Guizzardi, Joao Paulo A. Almeida, Nicola Guarino, Victorio A. Carvalho, Towards an Ontological Analysis of Powertypes, International Workshop on Formal Ontologies for Artificial Intelligence (FOFAI) , 2015, https://www.researchgate.net/publication/279178175_Towards_an_Ontological_Analysis_of_Powertypes, last visit: 09.04.2026
  2. [FoAl2021] Claudenir M. Fonseca, João Paulo A. Almeida, Giancarlo Guizzardi, Victorio A. Carvalho, Multi-level conceptual modeling: Theory, language and application, Data & Knowledge Engineering 134(1):101894 , 2021, DOI: 10.1016/j.datak.2021.101894, https://www.researchgate.net/publication/351567433_Multi-level_conceptual_modeling_Theory_language_and_application, last visit: 09.04.2026
  3. [AlHe2020] Dean Allemang, Jim Hendler, Fabien Gandon, Semantic Web for the Working Ontologist - Effective Modeling in RDFS and OWL, Third Edition, ACM Books series, Nbr. 33 , 2020, ISBN: 978-1-4503-7614-3