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Interoperability of disparate engineering domain ontologies using basic formal ontology

  • Thomas J. Hagedorn
  • , Barry Smith
  • , Sundar Krishnamurty
  • , Ian Grosse
  • University of Massachusetts

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

As engineering applications require management of ever larger volumes of data, ontologies offer the potential to capture, manage, and augment data with the capability for automated reasoning and semantic querying. Unfortunately, considerable barriers hinder wider deployment of ontologies in engineering. Key among these is lack of a shared top-level ontology to unify and organise disparate aspects of the field and coordinate co-development of orthogonal ontologies. As a result, many engineering ontologies are limited to their scope, and functionally difficult to extend or interoperate with other engineering ontologies. This paper demonstrates how the use of a top-level ontology, specifically the Basic Formal Ontology (BFO), greatly facilitates interoperability of multiple engineering-related ontologies. We constructed a system of formal linked ontologies by re-engineering legacy ontologies to be conformant with BFO and developing new BFO-conformant ontologies to capture knowledge in the engineering design, enterprise, human factors, manufacturing, and application domain of additive manufacturing. The resulting Integrated Framework for Additively Manufactured Products (IFAMP), including the body knowledge instantiated on its basis, serve as the basis for a proposed Design with Additive Manufacturing Method (DWAM), which we believe can support the design of innovative products with semantically enhanced ideation tools and enhanced access to application domain knowledge. The method and its facilitation through the ontological framework are demonstrated using a case study in medicine.

Original languageEnglish
Pages (from-to)625-654
Number of pages30
JournalJournal of Engineering Design
Volume30
Issue number10-12
DOIs
StatePublished - Dec 2 2019

Keywords

  • Knowledge representation
  • design information management
  • design methods
  • design reuse
  • ontologies
  • techniques and tools

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