Data Analytics Using Ontologies of Management Theories: Towards Implementing 'From Theory to Practice'
Proceedings of the 17th IEEE International Conference on Information Reuse, 2016.
7 Pages Posted: 30 Aug 2012 Last revised: 9 Sep 2019
Date Written: June 21, 2016
We explore how computational ontologies can be impactful vis-à-vis the developing discipline of “data science.” We posit an approach wherein management theories are represented as formal axioms, and then applied to draw inferences about data that reside in corporate databases. That is, management theories would be implemented as rules within a data analytics engine. We demonstrate a case study development of such an ontology by formally representing an accounting theory in First-Order Logic. Though quite preliminary, the idea that an information technology, namely ontologies, can potentially actualize the academic cliché, “From Theory to Practice,” and be applicable to the burgeoning domain of data analytics is novel and exciting.
Keywords: computational ontologies, data analytics, data science, data driven decision-making, auditor decision-making, Belief-Desires-Intentions
JEL Classification: M00, M40
Suggested Citation: Suggested Citation