AIERO: An algorithm for identifying engineering relationships in ontologies

dc.contributor.author Witherell, Paul
dc.contributor.author Grosse, Ian
dc.contributor.author Krishnamurty, Sundar
dc.contributor.author Wileden, Jack
dc.contributor.department Center for e-Design
dc.date 2018-02-16T10:14:17.000
dc.date.accessioned 2020-06-30T02:14:48Z
dc.date.available 2020-06-30T02:14:48Z
dc.date.issued 2013-10-01
dc.description.abstract <p>Semantic technologies are playing an increasingly popular role as a means for advancing the capabilities of knowledge management systems. Among these advancements, researchers have successfully leveraged semantic technologies, and their accompanying techniques, to improve the representation and search capabilities of knowledge management systems. This paper introduces a further application of semantic techniques. We explore semantic relatedness as a means of facilitating the development of more “intelligent” engineering knowledge management systems. Using semantic relatedness quantifications to analyze and rank concept pairs, this novel approach exploits semantic relationships to help identify key engineering relationships, similar to those leveraged in change management systems, in product development processes. As part of this work, we review several different semantic relatedness techniques, including a meronomic technique recently introduced by the authors. We introduce an aggregate measure, termed “An Algorithm for Identifying Engineering Relationships in Ontologies,” or AIERO, as a means to purposely quantify semantic relationships within product development frameworks. To assess its consistency and accuracy, AIERO is tested using three separate, independently developed ontologies. The results indicate AIERO is capable of returning consistent rankings of concept pairs across varying knowledge frameworks. A PCB (printed circuit board) case study then highlights AIERO’s unique ability to leverage semantic relationships to systematically narrow where engineering interdependencies are likely to be found between various elements of product development processes.</p>
dc.description.comments <p>This article is from <em>Advanced Engineering Informatics</em> 27 (2013): 555–565, doi:<a href="http://dx.doi.org/10.1016/j.aei.2013.06.003" id="x-ddDoi">10.1016/j.aei.2013.06.003</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/edesign_pubs/12/
dc.identifier.articleid 1012
dc.identifier.contextkey 7142364
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath edesign_pubs/12
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/22743
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/edesign_pubs/12/2013_Witherell_AIEROAlgorithm.pdf|||Fri Jan 14 19:05:38 UTC 2022
dc.source.uri 10.1016/j.aei.2013.06.003
dc.subject.disciplines Computer-Aided Engineering and Design
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Programming Languages and Compilers
dc.subject.keywords Semantic relatedness
dc.subject.keywords Ontology
dc.subject.keywords Product development
dc.subject.keywords Change management
dc.subject.keywords Interdependency
dc.subject.keywords Consistency checking
dc.title AIERO: An algorithm for identifying engineering relationships in ontologies
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isOrgUnitOfPublication 4ebe4c0d-9de0-4268-9b8f-bd956a8c9b4b
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