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Investigation Phase: Quantitative Analysis of Domain Ontology Usage (QUA-AF)

  • Jamshaid AshrafEmail author
  • Omar K. Hussain
  • Farookh Khadeer Hussain
  • Elizabeth J. Chang
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 767)

Abstract

In the previous chapter, the EMP-AF was proposed to perform an empirical analysis of domain ontology usage. The empirical analysis, through its observed factors such as the relationship between different ontologies based on an entity’s semantic description, ontology component usage, contextual description, and provision and availability of knowledge patterns, helps us to understand the uptake and adoption of domain ontologies on the Web. In other words, it gives a comprehensive analysis of the “usage” aspect of a domain ontology and its components. While the insights obtained through EMP-AF highlight the key aspects of the usage dimension, two other dimensions warrant consideration to fully realize the perceived benefits of Ontology Usage Analysis (OUA), as mentioned in Chap.  3, and to enable the quantitative analysis of OUA. These are the “technology” and “business” dimensions, which also have a direct relationship with ontology adoption and usage.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jamshaid Ashraf
    • 1
    Email author
  • Omar K. Hussain
    • 2
  • Farookh Khadeer Hussain
    • 3
  • Elizabeth J. Chang
    • 2
  1. 1.Digital Processing System (DPS)SalmiyaKuwait
  2. 2.School of BusinessUniversity of New South WalesCanberraAustralia
  3. 3.Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, School of SoftwareUniversity of Technology SydneySydneyAustralia

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