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dc.contributor.authorSchaathun, Hans Georg
dc.contributor.authorTran, Que
dc.contributor.authorTollefsen, Mikael
dc.contributor.authorGernez, Etienne
dc.date.accessioned2018-03-12T12:20:25Z
dc.date.available2018-03-12T12:20:25Z
dc.date.created2017-11-30T15:53:02Z
dc.date.issued2017
dc.identifier.citationNIK: Norsk Informatikkonferanse. 2017, .
dc.identifier.issn1892-0713
dc.identifier.urihttp://hdl.handle.net/11250/2490111
dc.description.abstractShip design is a knowledge-intensive industry. To design safe ship systems for demanding operations, there is an increasing need for comprehensive knowledge of the operational context. Field studies is an important source of relevant knowledge, but current methods and information systems do not realise their full potential. In this paper, we discuss how the field data can be modelled semantically, integrated with relevant domain models, and be more effectively made available to the organisation. We propose a data model and a software architecture to facilitate the collaborative data analysis and modelling process favoured by designers.
dc.language.isoeng
dc.relation.urihttp://ojs.bibsys.no/index.php/NIK/article/view/430
dc.titleData and knowledge manangement in field studies A case for semantic technologies
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber12
dc.source.journalNIK: Norsk Informatikkonferanse
dc.identifier.cristin1521125
cristin.unitcode189,2,0,0
cristin.unitnameInstitutt for design
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltext
cristin.qualitycode1


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