Verbalizing ORM Models in Malay and Mandarin

Lim, Shin Huei; Halpin, Terry

doi:10.1007/978-3-642-41033-8_68

Cited by 1 publication

(2 citation statements)

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“…Preliminary work has been done to extend the English version of FORML 2 for full model input and queries (Halpin & Wijbenga, 2010). Some years ago, we began work on automating the verbalization of ORM constraints in Malay and Mandarin (Lim & Halpin, 2013). This work has now matured to a full specification covering all ORM constraints, with implementation support, and is the main focus of this journal paper.…”

Section: Related Researchmentioning

confidence: 99%

“…We have specified pattern transformations for verbalizing all the ORM constraint varieties, but have space here to discuss patterns for just three cases: non-spanning uniqueness constraints on binary fact types; exclusion constraints; and strongly intransitive ring constraints on binaries. Patterns for internal uniqueness constraints on binary fact types are discussed in detail in our earlier work (Lim & Halpin, 2013).…”

Section: Constraint Patternsmentioning

confidence: 99%

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Automated Verbalization of ORM Models in Malay and Mandarin

Halpin

Lim

2016

International Journal of Information System Modeling and Design

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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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Section: Related Researchmentioning

confidence: 99%

Section: Constraint Patternsmentioning

confidence: 99%