Natural Language–Based Conceptual Modelling Frameworks: State of the Art and Future Opportunities

Identifying requirements for an information system is an important task and conceptual modelling is the first step in this process. Conceptual modelling plays a critical role in the information system design process and usually involves domain experts and knowledge engineers who brainstorm together...

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Bibliographic Details
Published in:ACM computing surveys 2024-01, Vol.56 (1), p.1-26, Article 12
Main Authors: Hossain, Bayzid Ashik, Mukta, Md. Saddam Hossain, Islam, Md Adnanul, Zaman, Akib, Schwitter, Rolf
Format: Article
Language:English
Subjects:
Computer science
Engineers
General and reference
Information systems
Knowledge
Knowledge representation
Language
Logic
Modelling
Natural language
Natural language processing
Relational database model
Requirements analysis
Requirements specifications
Software and its engineering
Software engineering
State of the art
Subject specialists
Surveys and overviews
Systems design
Theory of computation
Citations: Items that this one cites
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Summary:Identifying requirements for an information system is an important task and conceptual modelling is the first step in this process. Conceptual modelling plays a critical role in the information system design process and usually involves domain experts and knowledge engineers who brainstorm together to identify the required knowledge to build an information system. The conceptual modelling process starts with the collection of necessary information from the domain experts by the knowledge engineers. Afterwards, the knowledge engineers use traditional model driven engineering techniques to design the system based on the collected information. Natural language–based conceptual modelling frameworks or systems are used to help domain experts and knowledge engineers in eliciting requirements and building conceptual models from a natural language text. In this article, we discuss the state of the art of some recent conceptual modelling frameworks that are based on natural language. We take a closer look at how these frameworks are built, in particular at the underlying motivation, architecture, types of natural language used (e.g., restricted vs. unrestricted), types of the conceptual model generated, verification support of the requirements specifications as well as the conceptual models, and underlying knowledge representation formalism. We also discuss some future research opportunities that these frameworks offer.
ISSN:0360-0300
1557-7341
DOI:10.1145/3596597