Instance-driven TBox revision in DL-Lite

The development and maintenance of large and complex ontologies are often time-consuming and error-prone. Thus, automated ontology learning and revision have attracted intensive research interest. In data-centric applications where ontologies are designed or automatically learnt from the data, when new data instances are added that contradict to the ontology, it is often desirable to incrementally revise the ontology according to the added data. This problem can be intuitively formulated as the problem of revising a TBox by an ABox. In this paper we introduce a model-theoretic approach to such an ontology revision problem by using a novel alternative semantic characterisation of DL-Lite ontologies. We show some desired properties for our ontology revision. We have also developed an algorithm for reasoning with the ontology revision without computing the revision result. The algorithm is efficient as its computational complexity is in coNP in the worst case and in PTIME when the size of the new data is bounded.

Recruiting and retaining plasmapheresis donors: A critical belief analysis

This paper identifies critical beliefs underpinning intentions to commence and continue plasmapheresis donation. Whole blood (n = 624) and first-time plasmapheresis (n = 460) donors completed a cross-sectional survey assessing the belief-base of the theory of planned behaviour and rated their plasmapheresis donation intentions. While the idea of red blood cells being returned was a key deterrent for all donors, critical beliefs underlying commencement and continuation in the plasmapheresis donor panel differed and varied as a function of blood donation history. Findings will assist the development of targeted persuasion messages to optimise recruitment and retention of plasmapheresis donors in a non-remunerated context.

Peer leader led revision skills workshop – who benefits?

In response to student requests, a peer leader led revision skills workshop was run just prior to a mid-semester exam in pharmacology. This skills workshop was well attended and received by equal percentages of both accelerated and traditional students (who were in their 4th semester at university). This suggests that both accelerated and traditional students can benefit from peer led revision skills workshops.

Toward a design theory for green information systems

We report on ongoing research to develop a design theory for classes of information systems that allow for work practices that exhibit a minimal harmful impact on the natural environment. We call such information systems Green IS. In this paper we describe the building blocks of our Green IS design theory, which develops prescriptions for information systems that allow for: (1) belief formation, action formation and outcome measurement relating to (2) environmentally sustainable work practices and environmentally sustainable decisions on (3) a macro or micro level. For each element, we specify structural features, symbolic expressions, user abilities and goals required for the affordances to emerge. We also provide a set of testable propositions derived from our design theory and declare two principles of implementation.

Meta-analyses of the determinants and outcomes of belief in climate change

Recent growth in the number of studies examining belief in climate change is a positive development, but presents an ironic challenge in that it can be difficult for academics, practitioners and policy makers to keep pace. As a response to this challenge, we report on a meta-analysis of the correlates of belief in climate change. Twenty-seven variables were examined by synthesizing 25 polls and 171 academic studies across 56 nations. Two broad conclusions emerged. First, many intuitively appealing variables (such as education, sex, subjective knowledge, and experience of extreme weather events) were overshadowed in predictive power by values, ideologies, worldviews and political orientation. Second, climate change beliefs have only a small to moderate effect on the extent to which people are willing to act in climate-friendly ways. Implications for converting sceptics to the climate change cause—and for converting believers’ intentions into action—are discussed.