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dc.contributor.authorMehrpoor, Mahsa
dc.contributor.authorAhlers, Dirk
dc.contributor.authorGulla, Jon Atle
dc.contributor.authorKristensen, Kjetil
dc.contributor.authorSivertsen, Ole Ivar
dc.date.accessioned2017-06-07T07:08:11Z
dc.date.available2017-06-07T07:08:11Z
dc.date.created2017-06-06T15:45:16Z
dc.date.issued2017
dc.identifier.citationJournal of IT Cases and Applications. 2017, 19 (1), 10-33.nb_NO
dc.identifier.issn1522-8053
dc.identifier.urihttp://hdl.handle.net/11250/2444495
dc.description.abstractKnowledge and information are valuable resources in enterprises for solution reuse. However, identifying relevant information from a rapidly growing number of unstructured resources is challenging for users. We discuss a personalized information access tool for professional workplaces based on recommender systems to provide relevant documents for users in specific work contexts based on domain-specific ontologies. Our use case is a multidisciplinary engineering project. We provide an in-depth analysis on the content and context of documents using information retrieval methods and semantic annotations. Upon this, we build a contextual ontology as our knowledge domain for the recommender system and evaluate the level of retrievability and coverage of it against the documents. Our results provide insight into engineers’ document workspaces and show that even a simple domain ontology is able to match a majority of documents from a domain-oriented corpus. The findings support our approach of using ontology-based recommendation for domain-specific workspaces.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor and Francisnb_NO
dc.titleInvestigating contextual ontologies and document corpus characteristics for information access in engineering settingsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersion
dc.source.pagenumber10-33nb_NO
dc.source.volume19nb_NO
dc.source.journalJournal of IT Cases and Applicationsnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1080/15228053.2017.1313557
dc.identifier.cristin1474337
dc.description.localcodeThis is a preprint of an article whose final and definitive form has been published in the Journal of Information Technology Case and Application Research, Volume 19, Issue 1, 2017, Routledge, Taylor & Francis. http://dx.doi.org/10.1080/15228053.2017.1313557nb_NO
cristin.unitcode194,64,50,0
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for produktutvikling og materialer
cristin.unitnameInstitutt for datateknikk og informasjonsvitenskap
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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