Keynote 2 - Elizabeth Chang

ICFMsquare 2016

Semantics data integration through the use of Fuzzy approximate reasoning and defuzzification 


Corporates today are facing challenges with their heterogeneous systems. Typical large corporations, public sector and telco companies have around 50-2000 different enterprise systems, ranging from spreadsheet data sources to data marts to data warehouses. The literature study shows that they typically have up to 75% of replication with a data pollution (error rate) occurrence rate of 25%. Our study shows that the intelligent integration of these disparate data sets and systems will help improve business productivity by approximately 40% particularly in day-to-day operations, service management and business reporting. It will also reduce the time wasted on various activities such as logging in and out of different systems and argument the truth of the data report, such as where is the data coming from. However, the integration of these systems is challenged by the fact that data are:

  • distributed across different networks
  • distributed across different data centers, data repositories, datamarts,
  • designed with different processes, polices and rules
  • highly heterogeneous  and complex
  • structured, semi-structured and un-structured data, in-line and on-line
  • owned by the vendors who have real ownership of the data
  • cost of IT integration

Most importantly, data integration from heterogeneous systems is an urgent operation for enterprises, as more and more legacy systems are due to retire or no longer supported. Having no centralised enterprise data repository  means no ownership of the data, no “single source of truth”, and no control of its greatest asset (the enterprise data and information). In addition, there will no automation, no streamline of business processes and policies, no real-time and just-in time data information, no business intelligence and no organization agility.

However, integration of data from heterogeneous sources for corporate data warehouse requires the integration of heterogeneous data from heterogeneous databases and requires integration of heterogeneous workflow operations, processes, policies, and business rules. Without addressing the semantics integration of these, it is impossible to properly integrate the data and it would be just a corporate data dump, rather than Corporate Data Warehouse. Semantic Integration is challenged by the fuzziness of the enterprise heterogeneous data sets across different databases and information systems, and fuzzy interpretation of the concept of data, processes, policies and rules. In this keynote, I present the advanced fuzzy approximate reasoning and defuzzification approaches to semantics data integration in corporate data warehouses, through addressing concept similarities, contradictions, tautology, concept drifting, fuzzy pattern recognition and the evolution development of fuzzy logic enabled ontology based for the enterprise data warehouse that support alignment with human endeavour, IT strategies and business processes. In this talk, I will give 3 case studies, including corporate data warehouse development in UK Defence, Australian Defence force and a Large corporate data warehouse development in an Australian commercial industry.   


Professor Elizabeth Chang is Professor in IT and Logistics and Canberra Fellow at the University of New South Wales at the Australian Defence Force Academy (ADFA). She hold BSc, MSc and PhD in Computer Science and Software Engineering and has been CIO/CTO in Multinational Logistics and Transport Company in Hong Kong. Professor Chang leads the research group at UNSW Canberra at ADFA targeting the key issues in Logistics big data management over the heterogeneous logistics, supply and transport networks, predictive analytics, situation awareness, cyber-physical systems, asset sustainment, trust measurement and prediction and  risk assessment and quantification. She has delivered 41 Keynote/Plenary speeches largely at major IEEE Conferences and most recent ones are in the area of Semantics, Ontologies, business intelligence, data quality, etc.   Her academic achievement includes 22 Competitive Research Grants including 11 Australian Research Council (ARC) Grants worth over $15 million. She has supervised/co-supervised 41 PhD theses to completion, 21 Maters Theses and 16 Post-docs. She has published 7 authored, 8 edited books, 15 book chapters, 100+ International journal papers and over 300 refereed conference papers with an H-Index of 35 (Google Scholar). She is a Fellow of IEEE, and the Chair for IEEE IES Technical Committee on Industrial Informatics (2014-2015). She provides leadership by working with top researchers from around world and directs the future research in this area in the world. She is also an Associate Editor for IEEE Transactions on Industrial Electronics (since 2007) and Guest Editor on IEEE Transactions on Industrial Informatics (since 2005), Co-editor in chief for International Journal on Engineering Intelligent Systems. She has been General Chair and Technical Chair for over 20 International and IEEE Conferences.


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28 September 2017
Fribourg, Switzerland

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