Chen, S. & Williams, M. 2008, 'Learning Personalized Ontologies from Text: A Review on an Inherently Transdisciplinary Area' in Gonzalez, R.A., Chen, N. & Dahanayake, A. (eds), Personalized Information Retrieval and Access Concepts Methods and Practices, IGI Global, UK & USA, pp. 1-29.View/Download from: UTS OPUS
Book Chapter on Ontology learning - a review of the main concepts of ontologies and the state of the art in the area of ontology learning from text.
Chen, S. & Williams, M. 2013, 'Grounding Privacy-by-Design for Information Systems', Pacific Asia Conference on Information Systems (PACIS), Pacific Asia Conference on Information Systems, AIS Electronic Library, Jeju Island, Korea.View/Download from: UTS OPUS
The Privacy-by-Design approach has gained an increasing acceptance for privacy management in the
privacy community. However, there is still a research gap in methodologies for implementing this
approach and a need to develop frameworks and systems to support Privacy-by-Design practice. In an
attempt to bridge this gap, this paper uncovers hidden issues of the Privacy-by-Design approach as a
means to derive privacy requirements for implementing information systems with privacy embedded by
Data purpose is a central concept in modeling privacy requirements. Existing purpose-based approaches for privacy protection have mainly focused on access control. The problem of ensuring the consistency between data purpose and data usage has been under-addressed. In an attempt to bridge this research gap, we develop a grounded understanding of data purpose and relevant key concepts that is fundamental to address the problem. We propose a Minimum Action Permission Principle as a basic guideline to establish a path to solutions to the consistency problem.
Chen, S. & Williams, M. 2012, 'Information Makes A Difference For Privacy Design', PACIS 2012 PROCEEDINGS, Pacific Asia Conference on Information Systems, PACIS, Ho Chi Minh City, pp. 1-13.View/Download from: UTS OPUS
In the current information age, information can make a difference to all aspects of ones life, emotionally, ethically, financially or societally. Information privacy plays a key role in enabling a difference in many dimensions such as trust, respect, reputation, security, resource, ability, employment, etc. The capability of information to make a difference to ones life is a fundamental factor; and privacy status of information is a key factor driving this difference. Understanding the impact of these two factors to ones life within an IS context is an important research gap in the discipline. This paper studies information + privacy, ontologically and integrally, in making a difference to ones life, within the IS context. In recognition of the importance of the Privacy-by- Design approach to IS development, a methodology is proposed to understand the grounds of information and model fundamental constructs for using Privacy-by-Design approach to develop robust privacy-friendly information systems
Chen, S. & Williams, M. 2011, 'Grounding Data Purpose And Data Usage For Better Privacy Requirements Development: An Information System Perspective', The Pacific Asia Conference on Information Systems, Pacific Asia Conference on Information Systems, PACIS, Brisbane, Australia, pp. 1-13.View/Download from: UTS OPUS
Data purpose is a central concept to modeling privacy requirements for information systems. Existing purpose-centric approaches for privacy protection have mainly focused on access control. The problem of ensuring the consistency between data purpose and data usage has been under-addressed. Given the lack of practical purpose-centric solutions, we argue that a grounded understanding of the underlying concepts of data purpose and usage is fundamental to modeling privacy requirements. In recognition of an existing "privacy rights" framework, this paper develops an ontological grounding of data purpose and usage that can be used to understand their implications on fundamental privacy rights for modeling privacy requirements for information systems.
Chen, S. & Williams, M. 2010, 'Modeling Privacy Requirements for Quality Manipulation of Information on Social Networking Sites', 2010 AAAI Spring Symposium on Intelligent Information Privacy Management, National Conference of the American Association for Artificial Intelligence, AAAI Press, Stanford University, pp. 42-47.View/Download from: UTS OPUS
The volume and diversity of information shared and exchanged within and across social networking sites is increasing. As a result new and challenging requirements are needed for quality manipulation of the information. An important requirement is information usability with privacy dimensions. Existing social networking sites do not provide adequate functionalities to fulfill privacy requirements of information use. This is largely due to the lack of a privacy-by-design approach that conducts an effective privacy requirements analysis as a means to develop suitable models for social networking that protect privacy. To bridge this gap, this paper analyses and models privacy requirements for a recommendation service in social networking sites.
Chen, S. & Williams, M. 2010, 'Privacy: An Ontological Problem', The Pacific Asia Conference on Information Systems, The Pacific Asia Conference on Information Systems, PACIS, Taipei, Taiwan, pp. 1402-1413.View/Download from: UTS OPUS
Approaches to addressing privacy issues tend to assume privacy is well understood and typically approach the problem from a security perspective. However, security is more concerned with safety than with privacy. Given the lack of satisfaction with advanced privacy-enhancing-technologies, we argue that an ontological framework is fundamental to advancing the capabilities of technologyenabled solutions. In recognition that privacy is a right to control information about oneself, this paper develops a new ontological foundation for privacy - an initial and important step to modeling privacy as a means to improving the privacy protection effectiveness of information systems.
Chen, S. & Williams, M. 2010, 'Towards A Comprehensive Requirements Architecture For Privacy-Aware Social Recommender Systems', The Seventh Asia-Pacific Conferences on Conceptual Modelling, Asia-Pacific Conferences on Conceptual Modelling, Australian Computer Society, Inc, Brisbane, Australia, pp. 33-42.View/Download from: UTS OPUS
Social recommendations have been rapidly adopted as important components in social network sites. However, they assume a cooperative relationship between parties involved. This assumption can lead to the creation of privacy issues and new opportunities for privacy infringements. Traditional recommendation techniques fail to address these issues, and as a consequence the development of privacy-aware cooperative social recommender systems give rise to an important research gap. In this paper we identify key problems that arise from the privacy dimension of social recommendations and propose a comprehensive requirements architecture for building privacy-aware cooperative social recommender systems.
Chen, S. & Williams, M. 2009, 'Privacy In Social Networks: A Comparative Study', Pacific Asia Conference on Information Systems (PACIS) 2009 Proceedings, Pacific Asia Conference on Information Systems, Association for Information Systems, India School of Business, Hyderabad, India, pp. 1-12.View/Download from: UTS OPUS
Social networks provide unprecedented opportunity for individuals and organizations to share information. At the same time they present significant challenges to privacy that left unaddressed will stifle information sharing and innovation. In this paper we analyse four different prototypical existing social networks, and identify key problems that arise for a privacy-by-design approach to the development of a new breed of social networks.