Search
  Advanced Search
 
Journal search
Journal cover: VINE

VINE

ISSN: 0305-5728

Online from: 1971

Subject Area: Information and Knowledge Management

Content: Latest Issue | icon: RSS Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Previous article.Icon: Print.Table of Contents.Next article.Icon: .

Complex knowledge modelling with functional entity relationship diagrams


Document Information:
Title:Complex knowledge modelling with functional entity relationship diagrams
Author(s):Diarmuid J. Pigott, (School of Information Technology, Murdoch University, Murdoch, Australia), Valerie J. Hobbs, (School of Information Technology, Murdoch University, Murdoch, Australia)
Citation:Diarmuid J. Pigott, Valerie J. Hobbs, (2011) "Complex knowledge modelling with functional entity relationship diagrams", VINE, Vol. 41 Iss: 2, pp.192 - 211
Keywords:Functional analysis, Knowledge management, Modelling
Article type:Research paper
DOI:10.1108/03055721111134817 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Abstract:

PurposeModelling 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/approachThe 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.

FindingsThe 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 framework (non-Aristotelian functional entities) for those situations that do not permit such relations. Further, the authors discussed the system of knowledge mixins for qualifying the relations, and presented an adjunct to the framework, cartographic functional entities, to permit formally verifiable documentation.

Research limitations/implicationsFuture research will address the pragmatic/sociological dimensions of FERD modelling, and test its utility in field case studies.

Practical implicationsThe FERD conceptualisation incorporates traditional IS modelling as one aspect of a richer modelling system, and thereby includes all of traditional IS repositories as first class, unmediated sources of knowledge. The establishment of standard types of functional entities can provide a framework for the methodical conversion of the declarative design level to the imperative implementation level. It thus has significant practical implications for the management and use of knowledge in organisations.

Originality/valueThe research is original and provides a valuable contribution to conceptual modelling and representation of complex knowledge systems.



Fulltext Options:

Login

Login

Existing customers: login
to access this document

Login


- Forgot password?
- Athens/Institutional login

Purchase

Purchase

Downloadable; Printable; Owned
HTML, PDF (129kb)Purchase

To purchase this item please login or register.

Login


- Forgot password?

Recommend to your librarian

Complete and print this form to request this document from your librarian


Marked list


Bookmark & share

Reprints & permissions