demystifying.pdf (466.24 kB)

Demystifying ontological classification in language engineering

Download (466.24 kB)
conference contribution
posted on 11.11.2020, 22:00 by C Atkinson, Thomas Kuehne
© Springer International Publishing Switzerland 2016. The introduction of ontological classification to support domain-metamodeling has been pivotal in the emergence of multi-level modeling as a dynamic research area. However, existing expositions of ontological classification have only used a limited context to distinguish it from the historically more commonly used linguistic classification. In important areas such as domain-specific languages and classic language engineering the distinction can appear to become blurred and the role of ontological classification is obscured, if not fundamentally challenged. In this paper we therefore examine critical points of confusion regarding the distinction and provide an expanded explanation of the differences. We maintain that optimally utilizing ontological classification, even for tasks that traditionally have only been viewed as language engineering, is critical for mastering the challenges in complex systems modeling including the validation of multi-language models.

History

Preferred citation

Atkinson, C. & Kühne, T. (2016, January). Demystifying ontological classification in language engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12th European Conference on Modelling Foundations and Applications (ECMFA) Held as Part of Software Technologies: Applications and Foundations (STAF) Conference, TU Wien, Vienna, AUSTRIA (9764 pp. 83-100). Springer International Publishing. https://doi.org/10.1007/978-3-319-42061-5_6

Conference name

12th European Conference on Modelling Foundations and Applications (ECMFA) Held as Part of Software Technologies: Applications and Foundations (STAF) Conference

Conference Place

TU Wien, Vienna, AUSTRIA

Conference start date

06/07/2016

Conference finish date

07/07/2016

Title of proceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

9764

Series

Lecture Notes in Computer Science

Contribution type

Published Paper

Publication or Presentation Year

01/01/2016

Pagination

83-100

Publisher

Springer International Publishing

Publication status

Published

ISSN

0302-9743

eISSN

1611-3349

Exports