• DocumentCode
    2168617
  • Title

    The relational database layout to store ontology knowledge base

  • Author

    ALAmri, Abdullah

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Technol., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2012
  • fDate
    13-15 March 2012
  • Firstpage
    74
  • Lastpage
    81
  • Abstract
    The Semantic Web has been recognized as the next generation web which aims at the automation, integration and reuse of data across different web applications. To realize the Semantic Web, the W3C has adopted standards and tools such as the Resource Description Framework (RDF) and Web Ontology Language (OWL). With the development of the Semantic Web, OWL ontology became a W3C recommended mechanism and state-of-the-art technology toward the ideal Semantic Web. Most semantic web applications developed for such an environment require the management of large amounts of semantic data which are stored in semantic models. This requirement has motivated the design of specialized repositories in order to store and manipulate semantic models. However, semantic repositories still have problems related to hierarchical relations in that OWL data cannot be directly represented by a relation table i.e. `a single table´. In this paper, we propose a new relational database layout to store an OWL knowledge base by considering the hierarchical relations.
  • Keywords
    knowledge representation languages; ontologies (artificial intelligence); relational databases; semantic Web; OWL knowledge base; W3C; Web ontology language; next generation Web; ontology knowledge base; relational database layout; resource description framework; semantic Web; Data models; OWL; Ontologies; Relational databases; Resource description framework; Semantics; RDF; Semantic Repositories; Semantic Web; Web Ontology Model OWL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-1091-8
  • Type

    conf

  • DOI
    10.1109/InfRKM.2012.6205039
  • Filename
    6205039