Detecting Influences of Ontology Design Patterns in Biomedical Ontologies

Christian Kindermann, Bijan Parsia, Uli Sattler

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Ontology Design Patterns (ODP) have been proposed to facilitate ontology engineering. Despite numerous conceptual contributions for over more than a decade, there is little empirical work to support the often claimed benefits provided by ODPs. Determining ODP use from ontologies alone (without interviews or other supporting documentation) is challenging as there is no standard (or required) mechanism for stipulating the intended use of an ODP. Instead, we must rely on modelling features which are suggestive of a given ODP’s influence. For the purpose of determining the prevalence of ODPs in ontologies, we developed a variety of techniques to detect these features with varying degrees of liberality. Using these techniques, we survey BioPortal with respect to well-known and publicly available repositories for ODPs. Our findings are predominantly negative. For the vast majority of ODPs we cannot find empirical evidence for their use in biomedical ontologies.
Original languageEnglish
Title of host publicationThe Semantic Web - ISWC 2019
Subtitle of host publication18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part I
PublisherSpringer Nature
Pages311-328
DOIs
Publication statusPublished - Oct 2019

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Cham
Volume11778

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