John Yearwood

John Yearwood is Professor and Dean of School of Science, Information Technology, and Engineering, University of Ballarat, Australia. His research spans areas of pattern recognition, argumentation, reasoning, decision support, Web services, and their applications. He has been chief investigator on a number of ARC projects in these areas. His work has involved the development of new algorithms and approaches to classification based on modern non-smooth optimization techniques, new frameworks for structured reasoning, and their application in decision support and knowledge modelling. Some important outcomes relate to the use of text categorization techniques for detecting drugs responsible for adverse reactions. He is currently an ARC research fellow working in the area of argumentation and narrative structures. He is an associate editor for the Journal of Research and Practice in Information Technology. He has over 210 refereed journal and conference publications.

Publications

Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications
Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications
Zhaohao Sun, John Yearwood. © 2014. 474 pages.
In the current technological world, Web services play an integral role in service computing and social networking services. This is also the case in the traditional FREG (foods...
A Theoretical Foundation of Demand Driven Web Services
A Theoretical Foundation of Demand Driven Web Services
Zhaohao Sun, John Yearwood. © 2014. 32 pages.
Web services are playing a pivotal role in business, management, governance, and society with the dramatic development of the Internet and the Web. However, many fundamental...
Approaches for Community Decision Making and Collective Reasoning: Knowledge Technology Support
Approaches for Community Decision Making and Collective Reasoning: Knowledge Technology Support
John Yearwood, Andrew Stranieri. © 2012. 307 pages.
Technology currently encourages the capture and storage of vast quantities of data and information and so thinkers, reasoners, and decision-makers have available large resources...
Machine Learning Algorithms for Analysis of DNA Data Sets
Machine Learning Algorithms for Analysis of DNA Data Sets
John Yearwood, Adil Bagirov, Andrei V. Kelarev. © 2012. 12 pages.
The applications of machine learning algorithms to the analysis of data sets of DNA sequences are very important. The present chapter is devoted to the experimental investigation...
Applications of Machine Learning for Linguistic Analysis of Texts
Applications of Machine Learning for Linguistic Analysis of Texts
Rosemary Torney, John Yearwood, Peter Vamplew, Andrei V. Kelarev. © 2012. 16 pages.
This chapter describes a novel multistage method for linguistic clustering of large collections of texts available on the Internet as a precursor to linguistic analysis of these...
Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches
Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches
John Yearwood, Andrew Stranieri. © 2011. 498 pages.
The information age has enabled unprecedented levels of data to be collected and stored. At the same time, society and organizations have become increasingly complex....
Demand Driven Web Services
Demand Driven Web Services
Zhaohao Sun, Dong Dong, John Yearwood. © 2011. 21 pages.
Web services are playing a pivotal role in e-business, service intelligence, and service science. Demand-driven web services are becoming important for web services and service...
A Reasoning Community Perspective on Deliberative Democracy
A Reasoning Community Perspective on Deliberative Democracy
John Yearwood, Andrew Stranieri. © 2011. 20 pages.
This chapter describes some of the current approaches to deliberative democracy and then considers them from the perspective of a reasoning community framework. This approach...
A Case for the Re-Use of Community Reasoning
A Case for the Re-Use of Community Reasoning
Andrew Stranieri, John Yearwood. © 2011. 15 pages.
In software engineering, the re-use concept is a design principle that improves efficiency, quality and maintainability by ensuring that software artifacts are developed once and...
Demand Driven Web Services
Demand Driven Web Services
Zhaohao Sun, Dong Dong, John Yearwood. © 2011. 22 pages.
Web services are playing a pivotal role in e-business, service intelligence, and service science. Demand-driven web services are becoming important for web services and service...