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Complex knowledge modelling with functional entity relationship diagrams
Author(s) -
Diarmuid J. Pigott,
Valerie Hobbs
Publication year - 2011
Publication title -
vine
Language(s) - English
Resource type - Journals
eISSN - 1474-1032
pISSN - 0305-5728
DOI - 10.1108/03055721111134817
Subject(s) - computer science , formalism (music) , documentation , data science , knowledge management , management science , theoretical computer science , programming language , art , musical , economics , visual arts
Purpose – Modelling complex knowledge resources can be problematical as there is currently no formalism that can represent the nature of the data‐seeking process at a conceptual level. The purpose of this paper is to develop a knowledge representation formalism, the functional entity relationship diagram (FERD), which comprises a set of extensions to the industry standard entity relationship diagram established by Chen.Design/methodology/approach – The research uses a design science approach to extend the existing ER formalism using the question‐answering (QA) paradigm. It is an extension of standard data modelling theory and is consistent with category theory.Findings – The authors defined the functional entity, an encapsulated data resource that acts as a QA system and enumerated a typology of nine functional entities generated from two established principles to produce a modelling framework that can depict all existentially quantifiable relations, and demonstrated a satisficing extension to that framew...

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