• DocumentCode
    1772664
  • Title

    Building ontologies: A state of the art, and an application to Finance domain

  • Author

    El Idrissi Esserhrouchni, Omar ; Frikh, Bouchra ; Ouhbi, Brahim

  • Author_Institution
    LM2I Lab., Moulay Ismail Univ., Meknès, Morocco
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    223
  • Lastpage
    230
  • Abstract
    In this paper, we develop a framework for comparing ontology leaning systems and place a number of the more prominent ones into it. We have selected 11 specific projects for this study, including automatic and semi-automatic domain ontology building from unstructured or semi-structured text document. The comparison framework includes general characteristics, such as the purpose of ontology, its coverage (general or domain specific), and the formalism used. It also includes the design process used in creating ontology and the methods used to evaluate it. We synthesize the characteristics of the studied algorithms as a comparison matrix based on predefined criteria. Finally, we selected three methodologies for ontology construction: HCHIRSIM [1], Sanchez et al. 2004 [2] and Text2onto [3] and apply them in Finance domain ontology constructed from the web. We compare the obtained concepts with those on the “Financial glossary” provided by Yahoo.com.
  • Keywords
    financial data processing; ontologies (artificial intelligence); text analysis; HCHIRSIM; automatic domain ontology building; design process; finance domain ontology; financial glossary; ontology construction; ontology leaning systems; semiautomatic domain ontology building; semistructured text document; unstructured text document; Algorithm design and analysis; Buildings; Finance; Ontologies; Pragmatics; Semantics; Terminology; Comparative Study; Domain Ontology; Finance Ontology; Machine Learning; Ontology learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Networks and Services (NGNS), 2014 Fifth International Conference on
  • Conference_Location
    Casablanca
  • Print_ISBN
    978-1-4799-6608-0
  • Type

    conf

  • DOI
    10.1109/NGNS.2014.6990256
  • Filename
    6990256