The DANTERM Model Revisited

Hanne Erdman Thomsen, Bodil Nistrup Madsen

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review


    In this paper we present the history of a model for a terminology management system, be it for big national term banks or for corporate term-bases. We go through the development stages of the DANTERM Model, starting in the late 1970's where the main purpose was translation, and advanced IT systems were not available, and ending today where more advanced terminology management systems (TMS) exist. Furthermore, systems for automatic extraction of information about concepts, automatic construction and consistency checking of concept systems (terminological ontologies) are now being developed. Both advanced TMS systems and automatic systems require new terminological data categories. Despite the existence of advanced TMS's, a very important problem has not been solved, namely the proper handling of equivalence relationships in multicultural terminology. We propose a solution to this problem and encourage ISO TC 37 committees, developing standards which prescribe data structures for terminological data, to incorporate the proposed solution.
    TitelTerm Bases and Linguistic Linked Open Data : TKE 2016, 12th International Conference on Terminology and Knowledge Engineering
    RedaktørerHanne Erdman Thomsen, Antonio Pareja-Lora, Bodil Nistrup Madsen
    Antal sider10
    ForlagCopenhagen Business School, CBS
    ISBN (Trykt)9788799917907
    ISBN (Elektronisk)9788799917907
    StatusUdgivet - 2016
    Begivenhed12th International Conference on Terminology and Knowledge Engineering. TKE 2016 - Copenhagen Business School, Frederiksberg, Danmark
    Varighed: 22 jun. 201624 jun. 2016
    Konferencens nummer: 12


    Konference12th International Conference on Terminology and Knowledge Engineering. TKE 2016
    LokationCopenhagen Business School


    • Data categories
    • Terminological data modeling
    • Terminological ontologies
    • Terminology management systems