• DocumentCode
    2120179
  • Title

    An R2RML-based Mapping System from Metal Materials Database to Ontology

  • Author

    Chao Dong ; Xiaoming Zhang ; Wanzhen Zhou

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol. Shijiazhuang, Shijiazhuang, China
  • fYear
    2013
  • fDate
    3-4 Oct. 2013
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    Semantic Web and ontology play an important role in various research fields today, but are rarely used in the materials science domain. In this paper we propose an approach to find a mapping method from metal materials database to an ontology. The proposed method refers to the latest W3C standard DM and R2RML. The goal of the mapping system is to transform Relational Database (RDB) to the Resource Description Framework (RDF). R2RML mapping documents (TTL files) are used to record and organize mapping results manually selected by users. An algorithm which simulates the R2RML processor is designed to process the TTL files so as to finally generate RDF. An experimental prototype is developed to implement the algorithm and demonstrate our approach.
  • Keywords
    database management systems; materials science computing; ontologies (artificial intelligence); semantic Web; R2RML; R2RML-based mapping system; W3C standard DM; materials science domain; metal materials database; ontology; resource description framework; semantic Web; Databases; Materials; Metals; Ontologies; Resource description framework; Standards; R2RML; RDB2RDF; Semantic Web; metal materials; ontology mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grids (SKG), 2013 Ninth International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/SKG.2013.37
  • Filename
    6816603