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Data Conceptual Modelling through Natural Language: Identification and Validation of Relationship Cardinalities

Data Conceptual Modelling through Natural Language: Identification and Validation of Relationship Cardinalities
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Author(s): Paloma Martinez (Universidad Carlos III Madrid, Spain), Adoracion de Miguel (Universidad Carlos III Madrid, Spain), Dolores Cuadra (Universidad Carlos III Madrid, Spain), Carlos Nieto (Universidad Carlos III Madrid, Spain) and Elena Castro (Universidad Carlos III Madrid, Spain)
Copyright: 2000
Pages: 5
Source title: Challenges of Information Technology Management in the 21st Century
Source Editor(s): Mehdi Khosrow-Pour (Information Resources Management Association, USA)
DOI: 10.4018/978-1-878289-84-1.ch051

Abstract

The work presented in this paper is part of a research framework devoted to database conceptual modelling that integrates various knowledge sources and technologies for helping novice database analysts and students in different specific database development tasks. This paper shows an overview of our progress in a special topic: identification and validation of binary relationship cardinalities in conceptual modelling phase. Our approach profits from natural language processing (NLP) techniques, first-order logic and some modelling heuristics and it smoothes the way to face the identification and refinement of ternary relationships.

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