Automated Verbalization of ORM Models in Malay and Mandarin

Fact-oriented modeling approaches such as Object-Role Modeling (ORM) include a rich graphical notation for capturing business constraints, allowing modelers to visualize fine details of their data models. These data models should be validated with domain experts who best understand the business requ...

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Main Authors: Lim, Shin Huei, Halpin, Terry
Format: Article
Published: IGI Global 2016
Subjects:
Online Access:http://eprints.intimal.edu.my/970/
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author Lim, Shin Huei
Halpin, Terry
author_facet Lim, Shin Huei
Halpin, Terry
author_sort Lim, Shin Huei
building INTI Institutional Repository
collection Online Access
description Fact-oriented modeling approaches such as Object-Role Modeling (ORM) include a rich graphical notation for capturing business constraints, allowing modelers to visualize fine details of their data models. These data models should be validated with domain experts who best understand the business requirements, even if unfamiliar with the graphical notation. Hence, the data models are best validated by verbalizing the models in a controlled natural language, and by populating the relevant fact types with examples. Comparatively little support exists for verbalizing fact-based models in non-English languages, especially Asian languages. This paper describes the authors' work on verbalizing ORM models in Bahasa Melayu (Malay) and Mandarin. The authors specify some typical transformation patterns, discuss features of these languages requiring special treatment (e.g. noun classifiers, repositioning of modal operators, and different uses for terms equivalent to “who” and “that” in English), and describe their current implementation efforts.
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spelling intimal-9702017-11-20T02:04:12Z http://eprints.intimal.edu.my/970/ Automated Verbalization of ORM Models in Malay and Mandarin Lim, Shin Huei Halpin, Terry QA76 Computer software Fact-oriented modeling approaches such as Object-Role Modeling (ORM) include a rich graphical notation for capturing business constraints, allowing modelers to visualize fine details of their data models. These data models should be validated with domain experts who best understand the business requirements, even if unfamiliar with the graphical notation. Hence, the data models are best validated by verbalizing the models in a controlled natural language, and by populating the relevant fact types with examples. Comparatively little support exists for verbalizing fact-based models in non-English languages, especially Asian languages. This paper describes the authors' work on verbalizing ORM models in Bahasa Melayu (Malay) and Mandarin. The authors specify some typical transformation patterns, discuss features of these languages requiring special treatment (e.g. noun classifiers, repositioning of modal operators, and different uses for terms equivalent to “who” and “that” in English), and describe their current implementation efforts. IGI Global 2016 Article PeerReviewed Lim, Shin Huei and Halpin, Terry (2016) Automated Verbalization of ORM Models in Malay and Mandarin. International Journal of Information System Modeling and Design (IJISMD), 7 (4). pp. 1-16. ISSN 1947-8186 https://www.igi-global.com/article/automated-verbalization-of-orm-models-in-malay-and-mandarin/178561 10.4018/IJISMD.2016100101
spellingShingle QA76 Computer software
Lim, Shin Huei
Halpin, Terry
Automated Verbalization of ORM Models in Malay and Mandarin
title Automated Verbalization of ORM Models in Malay and Mandarin
title_full Automated Verbalization of ORM Models in Malay and Mandarin
title_fullStr Automated Verbalization of ORM Models in Malay and Mandarin
title_full_unstemmed Automated Verbalization of ORM Models in Malay and Mandarin
title_short Automated Verbalization of ORM Models in Malay and Mandarin
title_sort automated verbalization of orm models in malay and mandarin
topic QA76 Computer software
url http://eprints.intimal.edu.my/970/
http://eprints.intimal.edu.my/970/
http://eprints.intimal.edu.my/970/