• DocumentCode
    230708
  • Title

    Automatic mapping rules and OWL ontology extraction for the OBDA Ontop

  • Author

    Khazalah, Fayez ; Malik, Zaki ; Rezgui, Abdelmounaam

  • Author_Institution
    Wayne State Univ., Detroit, MI, USA
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    225
  • Lastpage
    232
  • Abstract
    Extracting Ontop mapping rules and OWL ontology manually from a relational schema is a tedious task. We present an automatic approach for extracting Ontop mappings and OWL ontology from an existing database schema. The end users can access the underlying data source through SPARQL queries. A SPARQL query is written according to the extracted ontology and the end user does not need to know about the underlying data source and its schema. The proposed approach takes into consideration the different relationships between entities of the database schema. Instead of extracting a flat ontology that is an exact copy of the database schema, it extracts a rich ontology. The extracted ontology can also be used as an intermediate between a domain ontology and the underlying database schema. The experiment results indicate that the extracted mappings and ontology are accurate. i.e., end users can query all data (using SPARQL) from the underlying database source in the same way as if they have written SQL queries.
  • Keywords
    SQL; information retrieval; knowledge representation languages; ontologies (artificial intelligence); relational databases; OBDA Ontop; OWL ontology; Ontop mapping rules; SPARQL query; automatic mapping rules; ontology-based data access; underlying database source; Data mining; Engines; OWL; Ontologies; Relational databases; Resource description framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2014 International Conference on
  • Conference_Location
    Miami, FL
  • Type

    conf

  • Filename
    7014568