• DocumentCode
    1910230
  • Title

    VEBO: Validation of E-R Diagrams through Ontologies and WordNet

  • Author

    Russo, Giuseppe ; Anastasio, Francesca ; Pipitone, Arianna ; Gentile, Antonio ; Pirrone, Roberto

  • Author_Institution
    Dipt. di Ing. Chim., Gestionale, Inf., Meccanica, Univ. degli Studi di Palermo, Palermo, Italy
  • fYear
    2012
  • fDate
    19-21 Sept. 2012
  • Firstpage
    342
  • Lastpage
    344
  • Abstract
    In the semantic web vision, ontologies are building blocks for providing applications with a high level description of the operating environment in support of interoperability and semantic capabilities. The importance of ontologies in this respect is clearly stated in many works. Another crucial issue to increase the semantic aspect of web is to enrich the level of expressivity of database related data. Nowadays, databases are the primary source of information for dynamical web sites. The linguistic data used to build the database structure could be relevant for extracting meaningful information. In most cases, this type of information is not used for information retrieval. The work presented in this paper deals with an attempt to enrich a database structure using linguistic information. The purpose is twofold: the proposed approach can be used either to validate the database structure linguistically or at least to enrich information retrieval with structural information. In this paper the first goal is pursued by the construction of the VEBO system that is used to validate database entity-relation diagrams through semi-automatic creation and enrichment of ontology.
  • Keywords
    Web sites; database management systems; entity-relationship modelling; information retrieval; linguistics; ontologies (artificial intelligence); open systems; semantic Web; word processing; E-R diagram validation; VEBO system; WordNet; database entity-relation diagram validation; database structure; dynamical Web sites; high level description; information extraction; information retrieval; interoperability; linguistic data; linguistic information; ontologies; primary information source; semantic Web vision; semiautomatic creation; Buildings; Data mining; OWL; Ontologies; Relational databases; Semantics; ERD verification; linguistic enrichment; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2012 IEEE Sixth International Conference on
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4673-4433-3
  • Type

    conf

  • DOI
    10.1109/ICSC.2012.41
  • Filename
    6337126