Insights from an OTTR-centric Ontology Engineering Methodology

TL;DR

This paper presents an OTTR-centric ontology engineering methodology that leverages templates to improve flexibility, communication, and decision separation in building ontologies, demonstrated through Material Science case studies.

Contribution

It introduces a novel bottom-up and top-down ontology engineering process using OTTR templates, highlighting their benefits in flexibility and communication.

Findings

OTTR templates facilitate better communication with domain experts

Templates enable flexible modeling decisions with minimal cost

The methodology is effective in the Material Science domain

Abstract

OTTR is a language for representing ontology modeling patterns, which enables to build ontologies or knowledge bases by instantiating templates. Thereby, particularities of the ontological representation language are hidden from the domain experts, and it enables ontology engineers to, to some extent, separate the processes of deciding about what information to model from deciding about how to model the information, e.g., which design patterns to use. Certain decisions can thus be postponed for the benefit of focusing on one of these processes. To date, only few works on ontology engineering where ontology templates are applied are described in the literature. In this paper, we outline our methodology and report findings from our ontology engineering activities in the domain of Material Science. In these activities, OTTR templates play a key role. Our ontology engineering process is bottom-up, as we begin modeling activities from existing data that is then, via templates, fed into a knowledge graph, and it is top-down, as we first focus on which data to model and postpone the decision of how to model the data. We find, among other things, that OTTR templates are especially useful as a means of communication with domain experts. Furthermore, we find that because OTTR templates encapsulate modeling decisions, the engineering process becomes flexible, meaning that design decisions can be changed at little cost.