Bedarfsanalyse fachlicher Metadaten - Universität St.Gallen
Bedarfsanalyse fachlicher Metadaten - Universität St.Gallen
Bedarfsanalyse fachlicher Metadaten - Universität St.Gallen
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70 Beitrag B<br />
wealth management until year 2000 while since 2000 private wealth management<br />
became a separate business unit.<br />
One concept to address these issues is terminology management. Terminology management<br />
comprises the planning, steering, maintenance, and organization of terminology<br />
[Auth 2003: 188-189; Kremer, Kolbe, Brenner 2003: 2-3; Lehmann 2001: 123].<br />
“The resulting tools of terminology management are glossaries and taxonomies (classification<br />
schemes) that serve as the foundation for search, navigation, storage, and<br />
communication services between persons and/or systems” [Kremer, Kolbe, Brenner<br />
2003: 3]. Core element of terminology management is the underlying data model to<br />
specify terms in a consistent way [Auth 2003: 85-87; ISO 1999; Wegener, Auth 2002:<br />
198-200].<br />
8.3 Development of an Extension of a Terminological Data<br />
Model<br />
8.3.1 Existing Terminological Data Models<br />
In literature only very few contributions to terminological data models exist. Our literature<br />
review identified two, the data model of Swiss Re and the data model of the International<br />
Organization of <strong>St</strong>andardization (ISO) [Auth 2003; ISO 1999; Wegener,<br />
Auth 2002]. While the Swiss Re data model is a focused approach to align companywide<br />
terminology, the latter represents a comprehensive collocation of more than 200<br />
attributes that needs use-case-specific adaptation. Even it is possible to start from both<br />
models to develop a specific data model for terminology management of analytical<br />
information, this article will start from the Swiss Re data model due to the comparable<br />
problem complexity and scope.<br />
As detailed in section 8.2, the inherent quality of terminology management is directly<br />
associated with the power of the underlying data model to solve the listed terminological<br />
defects that lead to data inconsistencies that harm interpretability and comparability<br />
of information. The Swiss Re data model has been designed with this target and has<br />
been successfully tested within practice [Auth 2003; Wegener, Auth 2002]. Within the<br />
Swiss Re data model a term is characterized by its name and its attributes as detailed in<br />
Tab. 14.