Semantic round-tripping in conceptual modelling using restricted natural language

Bayzid Ashik Hossain*, Rolf Schwitter

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)


Conceptual modelling plays an important role in information system design and is one of its key activities. The modelling process usually involves domain experts and knowledge engineers who work together to bring out the required knowledge for building the information system. The most popular modelling approaches to develop these models include entity relationship modelling, object role modelling, and object-oriented modelling. These conceptual models are usually constructed graphically but are often difficult to understand by domain experts. In this paper we show how a restricted natural language can be used for writing a precise and consistent specification that is automatically translated into a description logic representation from which a conceptual model can be derived. This conceptual model can be rendered graphically and then verbalised again in the same restricted natural language as the specification. This process can be achieved with the help of a bi-directorial grammar that allows for semantic round-tripping between the representations.

Original languageEnglish
Title of host publicationDatabases Theory and Applications
Subtitle of host publication31st Australasian Database Conference, ADC 2020, Proceedings
EditorsRenata Borovica-Gajic, Jianzhong Qi, Weiqing Wang
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages13
ISBN (Electronic)9783030394691
ISBN (Print)9783030394684
Publication statusPublished - 2020
Event31st Australasian Database Conference, ADC 2019 - Melbourne, Australia
Duration: 3 Feb 20207 Feb 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12008 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference31st Australasian Database Conference, ADC 2019


  • Conceptual modelling
  • Knowledge representation
  • Restricted natural language
  • Round-tripping


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