245 resultados para Manchester OWL Syntax

em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast


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Objectives: Genetic testing for the breast and ovarian cancer susceptibility genes BRCA1 and BRCA2 has important implications for the clinical management of people found to carry a mutation. However, genetic testing is expensive and may be associated with adverse psychosocial effects. To provide a cost-efficient and clinically appropriate genetic counselling service, genetic testing should be targeted at those individuals most likely to carry pathogenic mutations. Several algorithms that predict the likelihood of carrying a BRCA1 or a BRCA2 mutation are currently used in clinical practice to identify such individuals.

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Measuring the degree of inconsistency of a belief base is an important issue in many real world applications. It has been increasingly recognized that deriving syntax sensitive inconsistency measures for a belief base from its minimal inconsistent subsets is a natural way forward. Most of the current proposals along this line do not take the impact of the size of each minimal inconsistent subset into account. However, as illustrated by the well-known Lottery Paradox, as the size of a minimal inconsistent subset increases, the degree of its inconsistency decreases. Another lack in current studies in this area is about the role of free formulas of a belief base in measuring the degree of inconsistency. This has not yet been characterized well. Adding free formulas to a belief base can enlarge the set of consistent subsets of that base. However, consistent subsets of a belief base also have an impact on the syntax sensitive normalized measures of the degree of inconsistency, the reason for this is that each consistent subset can be considered as a distinctive plausible perspective reflected by that belief base,whilst eachminimal inconsistent subset projects a distinctive viewof the inconsistency. To address these two issues,we propose a normalized framework formeasuring the degree of inconsistency of a belief base which unifies the impact of both consistent subsets and minimal inconsistent subsets. We also show that this normalized framework satisfies all the properties deemed necessary by common consent to characterize an intuitively satisfactory measure of the degree of inconsistency for belief bases. Finally, we use a simple but explanatory example in equirements engineering to illustrate the application of the normalized framework.

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Purpose: The purpose of this paper is to engage a different notion of feminism in accounting by addressing the issues of feminism, balance, and integration as a means of understanding differently the world for which one accounts. The ideas are communicated by the sharing of experiences through myth and storytelling.

Design/methodology/approach: An alternative lens for understanding the giving of accounts is proposed, drawing on earlier feminist accounting literature as well as storytelling and myth.

Findings: Including the subjective and intersubjective approaches to experiencing and understanding the world recommends an approach whereby both the feminine-intuitive and the masculine-rational processes are integrated in constructing decision models and accounts.

Research limitations/implications: Through an expanded view of values that can be included in reporting or recounting a different model is seen, and different decisions are enabled. The primary limitation is having to use words to convey one’s subjective and intersubjective understandings. The written medium is not the most natural language for such an undertaking.

Practical implications: By enabling the inclusion of more feminine values, a way is opened to engage more holistically with the society in which decisions are embedded.

Originality/value: Drawing on the storytelling tradition, a holistic model is suggested that can lead to emergence of a more balanced societal reporting.

Keywords: Feminism, Integration, Accounting, Storytelling, Myths

Paper type: Research paper

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Many plain text information hiding techniques demand deep semantic processing, and so suffer in reliability. In contrast, syntactic processing is a more mature and reliable technology. Assuming a perfect parser, this paper evaluates a set of automated and reversible syntactic transforms that can hide information in plain text without changing the meaning or style of a document. A large representative collection of newspaper text is fed through a prototype system. In contrast to previous work, the output is subjected to human testing to verify that the text has not been significantly compromised by the information hiding procedure, yielding a success rate of 96% and bandwidth of 0.3 bits per sentence. © 2007 SPIE-IS&T.