Automated Verbalization of ORM Models in Malay and Mandarin
| Autor: | Terry Halpin, Shin Huei Lim |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
060201 languages & linguistics
Business requirements Computer science business.industry 06 humanities and the arts 02 engineering and technology Modal operator computer.software_genre Notation language.human_language Domain (software engineering) Data modeling Controlled natural language Management of Technology and Innovation Noun 0602 languages and literature 0202 electrical engineering electronic engineering information engineering language Object-role modeling 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing Information Systems |
| Zdroj: | International Journal of Information System Modeling and Design. 7:1-16 |
| ISSN: | 1947-8194 1947-8186 |
| DOI: | 10.4018/ijismd.2016100101 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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