CNLER: a controlled natural language for specifying and verbalising entity relationship models.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

The first step towards designing an information system is conceptual modelling where domain experts and knowledge engineers identify the necessary information together to build an information system. Entity relationship modelling is one of the most popular conceptual modelling techniques that represents an information system in terms of entities, attributes and relationships. Entity relationship models are constructed graphically but are often difficult to understand by domain experts. To overcome this problem, we suggest to verbalise these models in a controlled natural language. In this paper, we present CNL-ER, a controlled natural language for specifying and verbalising entity relationship (ER) models that not only solves the verbalisation problem for these models but also provides the benefits of automatic verification and validation, and semantic round-tripping which makes the communication process transparent between the domain experts and the knowledge engineers
LanguageEnglish
Title of host publicationProceedings of the The 17th Annual Workshop of the Australasian Language Technology Association
PublisherAustralasian Language Technology Association
Pages126–135
Number of pages10
Publication statusPublished - 4 Dec 2019
EventProceedings of the Australasian Language Technology Association Workshop 2019 - UTS, Sydney, Australia
Duration: 4 Dec 20196 Dec 2019

Conference

ConferenceProceedings of the Australasian Language Technology Association Workshop 2019
Abbreviated titleALTA'2019
CountryAustralia
CitySydney
Period4/12/196/12/19

Fingerprint

Information systems
Engineers
Semantics
Communication

Bibliographical note

Copyright the Publisher 2019. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Cite this

Hossain, B. A., Rajan, G., & Schwitter, R. (2019). CNLER: a controlled natural language for specifying and verbalising entity relationship models. In Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association (pp. 126–135). Australasian Language Technology Association.
Hossain, Bayzid Ashik ; Rajan, Gayathri ; Schwitter, Rolf. / CNLER : a controlled natural language for specifying and verbalising entity relationship models. Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association. Australasian Language Technology Association, 2019. pp. 126–135
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Hossain, BA, Rajan, G & Schwitter, R 2019, CNLER: a controlled natural language for specifying and verbalising entity relationship models. in Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association. Australasian Language Technology Association, pp. 126–135, Proceedings of the Australasian Language Technology Association Workshop 2019, Sydney, Australia, 4/12/19.

CNLER : a controlled natural language for specifying and verbalising entity relationship models. / Hossain, Bayzid Ashik; Rajan, Gayathri; Schwitter, Rolf.

Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association. Australasian Language Technology Association, 2019. p. 126–135.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

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AU - Rajan, Gayathri

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Hossain BA, Rajan G, Schwitter R. CNLER: a controlled natural language for specifying and verbalising entity relationship models. In Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association. Australasian Language Technology Association. 2019. p. 126–135