Evaluating Modelling Approaches for Medical Image Annotations | Zendy

Jasmin Opitz | Zendy; Bijan Parsia | Zendy; Ulrike Sattler | Zendy

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Evaluating Modelling Approaches for Medical Image Annotations

Author(s) -

Jasmin Opitz,

Bijan Parsia,

Ulrike Sattler

Publication year - 2011

Publication title -

nature precedings

Language(s) - English

Resource type - Journals

ISSN - 1756-0357

DOI - 10.1038/npre.2011.5609.1

Subject(s) - computer science , strengths and weaknesses , data science , face (sociological concept) , conceptual model , conceptual framework , management science , database , social science , philosophy , epistemology , sociology , economics

Information system designers face many challenges with regards to selecting appropriate semantic technologies and deciding on a modeling approach for their system. However, there is no clear methodology yet to evaluate “semantically enriched” information systems. In this paper we present a case study on different modeling approaches for annotating medical images and introduce a conceptual framework that can be used to analyze the fitness of information systems and help designers to spot the strengths and weaknesses of various modeling approaches as well as managing trade-oﬀs between modeling eﬀort and their potential benefits

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