ub.xmlui.mirage2.page-structure.muninLogoub.xmlui.mirage2.page-structure.openResearchArchiveLogo
    • EnglishEnglish
    • norsknorsk
  • Velg spraakEnglish 
    • EnglishEnglish
    • norsknorsk
  • Administration/UB
View Item 
  •   Home
  • Universitetsbiblioteket
  • Artikler, rapporter og annet (UB)
  • View Item
  •   Home
  • Universitetsbiblioteket
  • Artikler, rapporter og annet (UB)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Graph databases for multi-domain taxonomies in maritime systems

Permanent link
https://hdl.handle.net/10037/36078
Thumbnail
View/Open
article.pdf (1.011Mb)
Published version (PDF)
Date
2024
Type
Chapter
Bokkapittel

Author
Echavez, Janica; H. P. Luz, Fernando; Fonseca, Icaro Aragao; Gaspar, Henrique Murilo
Abstract
Facing the increasing quantity and richness of data related to modeling and simulations of maritime systems, advanced solutions that can maintain data coherence and traceability are becoming increasingly beneficial. In the context of modeling complex systems, such as ship design, retaining connections of systems data, whether quantitative or qualitative, helps to provide a traceable and comprehensive view of the vessel at various stages of its development. This paper explores the use of graph databases to help provide such connections and introduces various domains of systems data that would be advantageous to link via graph theory. Additionally, this paper explores how graph databases compare to current flat file databases in a practical sample case of multi-domain data related to ship concept design.
Description
Source at https://scs-europe.net/conf/ecms2024/.
Publisher
ECMS International Conference on Modelling and Simulation
Citation
Echavez J, H. P. Luz, Fonseca I. A., Gaspar HM: Graph databases for multi-domain taxonomies in maritime systems. In: Daniel, Natalia, Grazyna, Vladimir. Proceedings of the 38th ECMS International Conference on Modelling and Simulation ECMS 2024, 2024. ECMS European Council for Modelling and Simulation p. 250-257
Metadata
Show full item record
Collections
  • Artikler, rapporter og annet (UB) [3247]
Copyright 2024 ECMS

Browse

Browse all of MuninCommunities & CollectionsAuthor listTitlesBy Issue DateBrowse this CollectionAuthor listTitlesBy Issue Date
Login

Statistics

View Usage Statistics
UiT

Munin is powered by DSpace

UiT The Arctic University of Norway
The University Library
uit.no/ub - munin@ub.uit.no

Accessibility statement (Norwegian only)