• norsk
    • English
  • norsk 
    • norsk
    • English
  • Logg inn
Vis innførsel 
  •   Hjem
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • Vis innførsel
  •   Hjem
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • Vis innførsel
JavaScript is disabled for your browser. Some features of this site may not work without it.

Investigating contextual ontologies and document corpus characteristics for information access in engineering settings

Mehrpoor, Mahsa; Ahlers, Dirk; Gulla, Jon Atle; Kristensen, Kjetil; Sivertsen, Ole Ivar
Journal article, Peer reviewed
Submitted version
Thumbnail
Åpne
MehrpoorEtal2017documentcorpusengineering.pdf (7.302Mb)
Permanent lenke
http://hdl.handle.net/11250/2444495
Utgivelsesdato
2017
Metadata
Vis full innførsel
Samlinger
  • Institutt for datateknologi og informatikk [3779]
  • Institutt for maskinteknikk og produksjon [2529]
  • Publikasjoner fra CRIStin - NTNU [19793]
Originalversjon
Journal of IT Cases and Applications. 2017, 19 (1), 10-33.   10.1080/15228053.2017.1313557
Sammendrag
Knowledge 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.
Utgiver
Taylor and Francis
Tidsskrift
Journal of IT Cases and Applications

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit
 

 

Bla i

Hele arkivetDelarkiv og samlingerUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifterDenne samlingenUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifter

Min side

Logg inn

Statistikk

Besøksstatistikk

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit