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

Bayzid Ashik Hossain; Gayathri Rajan; Rolf Schwitter

CNL^ER: a controlled natural language for specifying and verbalising entity relationship models.

Bayzid Ashik Hossain, Gayathri Rajan, Rolf Schwitter

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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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

Original language	English
Title of host publication	Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association
Place of Publication	Melbourne, VIC
Publisher	Australasian Language Technology Association
Pages	126–135
Number of pages	10
Publication status	Published - 4 Dec 2019
Event	Proceedings of the Australasian Language Technology Association Workshop 2019 - UTS, Sydney, Australia Duration: 4 Dec 2019 → 6 Dec 2019

Conference

Conference	Proceedings of the Australasian Language Technology Association Workshop 2019
Abbreviated title	ALTA'2019
Country/Territory	Australia
City	Sydney
Period	4/12/19 → 6/12/19

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.

Access to Document

Publisher version (open access)Final published version, 320 KBLicence: CC BY

https://www.aclweb.org/anthology/U19-1017/Licence: CC BY
https://alta2019.alta.asn.au/papersLicence: Unspecified

Cite this

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title = "CNLER: a controlled natural language for specifying and verbalising entity relationship models.",

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 ",

author = "Hossain, {Bayzid Ashik} and Gayathri Rajan and Rolf Schwitter",

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Hossain, BA, Rajan, G & Schwitter, R 2019, CNL^ER: 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, Melbourne, VIC, pp. 126–135, Proceedings of the Australasian Language Technology Association Workshop 2019, Sydney, Australia, 4/12/19. <https://www.aclweb.org/anthology/U19-1017/>

CNL^ER : 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. Melbourne, VIC : Australasian Language Technology Association, 2019. p. 126–135.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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