• DocumentCode
    119728
  • Title

    Semantic mapping relational to graph model

  • Author

    Wardani, Dewi W. ; Kiing, Josef

  • Author_Institution
    Inf. Dept., Sebelas Maret Univ., Surakarta, Indonesia
  • fYear
    2014
  • fDate
    21-23 Oct. 2014
  • Firstpage
    160
  • Lastpage
    165
  • Abstract
    Making data to be more connected is one of the goals of Semantic Technology. Therefore, relational data model as one of important data resource type, is needed to be mapped and converted to graph model. In this paper we focus in mapping and converting without semantically loss, by considering semantic abstraction of the real world, which has been ignored in some previous researches. As a graph schema model, it can be implemented in graph database or linked data in RDF/OWL format. This approach studies that relationship should be paid more attention in mapping and converting because, often be found a gap semantic abstraction during those processes. In our small experiment shows that our idea can map and convert relational model to graph model without semantically loss.
  • Keywords
    data models; database management systems; graph theory; semantic Web; OWL format; RDF format; gap semantic abstraction; graph database; graph model; linked data; relational data model; semantic mapping; Data models; Erbium; Redundancy; Relational databases; Resource description framework; Semantics; big data; converting; graph model; graph schema; mapping; relational model; semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Control, Informatics and Its Applications (IC3INA), 2014 International Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4799-4577-1
  • Type

    conf

  • DOI
    10.1109/IC3INA.2014.7042620
  • Filename
    7042620