Scholarly publishing and argument in hyperspace

The World Wide Web is opening up access to documents and data for scholars. However it has not yet impacted on one of the primary activities in research: assessing new findings in the light of current knowledge and debating it with colleagues. The ClaiMaker system uses a directed graph model with similarities to hypertext, in which new ideas are published as nodes, which other contributors can build on or challenge in a variety of ways by linking to them. Nodes and links have semantic structure to facilitate the provision of specialist services for interrogating and visualizing the emerging network. By way of example, this paper is grounded in a ClaiMaker model to illustrate how new claims can be described in this structured way.

UncertWeb processing service:making models easer to access on the web

Models are central tools for modern scientists and decision makers, and there are many existing frameworks to support their creation, execution and composition. Many frameworks are based on proprietary interfaces, and do not lend themselves to the integration of models from diverse disciplines. Web based systems, or systems based on web services, such as Taverna and Kepler, allow composition of models based on standard web service technologies. At the same time the Open Geospatial Consortium has been developing their own service stack, which includes the Web Processing Service, designed to facilitate the executing of geospatial processing - including complex environmental models. The current Open Geospatial Consortium service stack employs Extensible Markup Language as a default data exchange standard, and widely-used encodings such as JavaScript Object Notation can often only be used when incorporated with Extensible Markup Language. Similarly, no successful engagement of the Web Processing Service standard with the well-supported technologies of Simple Object Access Protocol and Web Services Description Language has been seen. In this paper we propose a pure Simple Object Access Protocol/Web Services Description Language processing service which addresses some of the issues with the Web Processing Service specication and brings us closer to achieving a degree of interoperability between geospatial models, and thus realising the vision of a useful 'model web'.

User Perceptions of Privacy and Security on the Web

This paper describes an online survey that was conducted to explore typical Internet users' awareness and knowledge of specific technologies that relate to their security and privacy when using a Web browser to access the Internet. The survey was conducted using an anonymous, online questionnaire. Over a four month period, 237 individuals completed the questionnaire. Respondents were predominately Canadian, with substantial numbers from the United Kingdom and the United States. Important findings include evidence that users have tried to educate themselves regarding their online security and privacy, but with limited success; different interpretations of the term "secure Web site" can lead to very different levels of trust in a site; respondents strongly expressed their skepticism about privacy policies, but nevertheless believe that sites can be trusted to respect their stated policies; and users may confuse browser cookies with other types of data stored locally by browsers, leading to inappropriate conclusions about the risks they present.

Handling and communicating uncertainty in chained geospatial web services

Recent developments in service-oriented and distributed computing have created exciting opportunities for the integration of models in service chains to create the Model Web. This offers the potential for orchestrating web data and processing services, in complex chains; a flexible approach which exploits the increased access to products and tools, and the scalability offered by the Web. However, the uncertainty inherent in data and models must be quantified and communicated in an interoperable way, in order for its effects to be effectively assessed as errors propagate through complex automated model chains. We describe a proposed set of tools for handling, characterizing and communicating uncertainty in this context, and show how they can be used to 'uncertainty- enable' Web Services in a model chain. An example implementation is presented, which combines environmental and publicly-contributed data to produce estimates of sea-level air pressure, with estimates of uncertainty which incorporate the effects of model approximation as well as the uncertainty inherent in the observational and derived data.

Evaluation of the Heart of Birmingham teaching Primary Care Trust (HoBtPCT): My Choice Weight Management Programme:report commissioned by Heart of Birmingham teaching Primary Care Trust

This report details an evaluation of the My Choice Weight Management Programme undertaken by a research team from the School of Pharmacy at Aston University. The My Choice Weight Management Programme is delivered through community pharmacies and general practitioners (GPs) contracted to provide services by the Heart of Birmingham teaching Primary Care Trust. It is designed to support individuals who are ‘ready to change’ by enabling the individual to work with a trained healthcare worker (for example, a healthcare assistant, practice nurse or pharmacy assistant) to develop a care plan designed to enable the individual to lose 5-10% of their current weight. The Programme aims to reduce adult obesity levels; improve access to overweight and obesity management services in primary care; improve diet and nutrition; promote healthy weight and increased levels of physical activity in overweight or obese patients; and support patients to make lifestyle changes to enable them to lose weight. The Programme is available for obese patients over 18 years old who have a Body Mass Index (BMI) greater than 30 kg/m2 (greater than 25 kg/m2 in Asian patients) or greater than 28 kg/m2 (greater than 23.5 kg/m2 in Asian patients) in patients with co-morbidities (diabetes, high blood pressure, cardiovascular disease). Each participant attends weekly consultations over a twelve session period (the final iteration of these weekly sessions is referred to as ‘session twelve’ in this report). They are then offered up to three follow up appointments for up to six months at two monthly intervals (the final of these follow ups, taking place at approximately nine months post recruitment, is referred to as ‘session fifteen’ in this report). A review of the literature highlights the dearth of published research on the effectiveness of primary care- or community-based weight management interventions. This report may help to address this knowledge deficit. A total of 451 individuals were recruited on to the My Choice Weight Management Programme. More participants were recruited at GP surgeries (n=268) than at community pharmacies (n=183). In total, 204 participants (GP n=102; pharmacy n=102) attended session twelve and 82 participants (GP n=22; pharmacy 60) attended session fifteen. The unique demographic characteristics of My Choice Weight Management Programme participants – participants were recruited from areas with high levels of socioeconomic deprivation and over four-fifths of participants were from Black and Minority Ethnic groups; populations which are traditionally underserved by healthcare interventions – make the achievements of the Programme particularly notable. The mean weight loss at session 12 was 3.8 kg (equivalent to a reduction of 4.0% of initial weight) among GP surgery participants and 2.4 kg (2.8%) among pharmacy participants. At session 15 mean weight loss was 2.3 kg (2.2%) among GP surgery participants and 3.4 kg (4.0%) among pharmacy participants. The My Choice Weight Management Programme improved the general health status of participants between recruitment and session twelve as measured by the validated SF-12 questionnaire. While cost data is presented in this report, it is unclear which provider type delivered the Programme more cost-effectively. Attendance rates on the Programme were consistently better among pharmacy participants than among GP participants. The opinions of programme participants (both those who attended regularly and those who failed to attend as expected) and programme providers were explored via semi-structured interviews and, in the case of the participants, a selfcompletion postal questionnaire. These data suggest that the Programme was almost uniformly popular with both the deliverers of the Programme and participants on the Programme with 83% of questionnaire respondents indicating that they would be happy to recommend the Programme to other people looking to lose weight. Our recommendations, based on the evidence provided in this report, include: a. Any consideration of an extension to the study also giving comparable consideration to an extension of the Programme evaluation. The feasibility of assigning participants to a pharmacy provider or a GP provider via a central allocation system should also be examined. This would address imbalances in participant recruitment levels between provider type and allow for more accurate comparison of the effectiveness in the delivery of the Programme between GP surgeries and community pharmacies by increasing the homogeneity of participants at each type of site and increasing the number of Programme participants overall. b. Widespread dissemination of the findings from this review of the My Choice Weight Management Project should be undertaken through a variety of channels. c. Consideration of the inclusion of the following key aspects of the My Choice Weight Management Project in any extension to the Programme: i. The provision of training to staff in GP surgeries and community pharmacies responsible for delivery of the Programme prior to patient recruitment. ii. Maintaining the level of healthcare staff input to the Programme. iii. The regular schedule of appointments with Programme participants. iv. The provision of an increased variety of printed material. d. A simplification of the data collection method used by the Programme commissioners at the individual Programme delivery sites.

Web based expert elicitation of uncertainties in environmental model inputs

When constructing and using environmental models, it is typical that many of the inputs to the models will not be known perfectly. In some cases, it will be possible to make observations, or occasionally physics-based uncertainty propagation, to ascertain the uncertainty on these inputs. However, such observations are often either not available or even possible, and another approach to characterising the uncertainty on the inputs must be sought. Even when observations are available, if the analysis is being carried out within a Bayesian framework then prior distributions will have to be specified. One option for gathering or at least estimating this information is to employ expert elicitation. Expert elicitation is well studied within statistics and psychology and involves the assessment of the beliefs of a group of experts about an uncertain quantity, (for example an input / parameter within a model), typically in terms of obtaining a probability distribution. One of the challenges in expert elicitation is to minimise the biases that might enter into the judgements made by the individual experts, and then to come to a consensus decision within the group of experts. Effort is made in the elicitation exercise to prevent biases clouding the judgements through well-devised questioning schemes. It is also important that, when reaching a consensus, the experts are exposed to the knowledge of the others in the group. Within the FP7 UncertWeb project (http://www.uncertweb.org/), there is a requirement to build a Webbased tool for expert elicitation. In this paper, we discuss some of the issues of building a Web-based elicitation system - both the technological aspects and the statistical and scientific issues. In particular, we demonstrate two tools: a Web-based system for the elicitation of continuous random variables and a system designed to elicit uncertainty about categorical random variables in the setting of landcover classification uncertainty. The first of these examples is a generic tool developed to elicit uncertainty about univariate continuous random variables. It is designed to be used within an application context and extends the existing SHELF method, adding a web interface and access to metadata. The tool is developed so that it can be readily integrated with environmental models exposed as web services. The second example was developed for the TREES-3 initiative which monitors tropical landcover change through ground-truthing at confluence points. It allows experts to validate the accuracy of automated landcover classifications using site-specific imagery and local knowledge. Experts may provide uncertainty information at various levels: from a general rating of their confidence in a site validation to a numerical ranking of the possible landcover types within a segment. A key challenge in the web based setting is the design of the user interface and the method of interacting between the problem owner and the problem experts. We show the workflow of the elicitation tool, and show how we can represent the final elicited distributions and confusion matrices using UncertML, ready for integration into uncertainty enabled workflows.We also show how the metadata associated with the elicitation exercise is captured and can be referenced from the elicited result, providing crucial lineage information and thus traceability in the decision making process.

Lessons learned from INTAMAP, an interoperable web service for the real-time interpolation of environmental variables

Interpolated data are an important part of the environmental information exchange as many variables can only be measured at situate discrete sampling locations. Spatial interpolation is a complex operation that has traditionally required expert treatment, making automation a serious challenge. This paper presents a few lessons learnt from INTAMAP, a project that is developing an interoperable web processing service (WPS) for the automatic interpolation of environmental data using advanced geostatistics, adopting a Service Oriented Architecture (SOA). The “rainbow box” approach we followed provides access to the functionality at a whole range of different levels. We show here how the integration of open standards, open source and powerful statistical processing capabilities allows us to automate a complex process while offering users a level of access and control that best suits their requirements. This facilitates benchmarking exercises as well as the regular reporting of environmental information without requiring remote users to have specialized skills in geostatistics.

Enhanced semantic access to formal software models

The success of the Semantic Web, as the next generation of Web technology, can have profound impact on the environment for formal software development. It allows both the software engineers and machines to understand the content of formal models and supports more effective software design in terms of understanding, sharing and reusing in a distributed manner. To realise the full potential of the Semantic Web in formal software development, effectively creating proper semantic metadata for formal software models and their related software artefacts is crucial. In this paper, a methodology with tool support is proposed to automatically derive ontological metadata from formal software models and semantically describe them.

Internet banking service quality:an investigation of interrelationships between construct dimensions

Service quality measurement in Internet banking services is an area of growing interest to researchers and managers. This research investigates the interrelationships between the dimensions comprising the Internet banking service quality construct through structural equation modelling. Five Internet service quality dimensions are identified: access, web interface, trust, attention and credibility. Credibility is modelled as an outcome of the causal variables of access, web interface, trust and attention. Trust and attention emerges as key dimensions in explaining the credibility dimension. Access is found to be a common antecedent of trust, attention and Web interface dimensions. Implications from the findings are offered.

An infrastructure for semantic web portals

This paper presents our Semantic Web portal infrastructure, which focuses on how to enhance knowledge access in traditional Web portals by gathering and exploiting semantic metadata. Special attention is paid to three important issues that affect the performance of knowledge access: i) high quality metadata acquisition, which concerns how to ensure high quality while gathering semantic metadata from heterogeneous data sources; ii) semantic search, which addresses how to meet the information querying needs of ordinary end users who are not necessarily familiar with the problem domain or the supported query language; and iii) semantic browsing, which concerns how to help users understand and explore the problem domain.

Integrating service user and practitioner expertise within a web-based system for collaborative mental-health risk and safety management

Objectives: To develop a decision support system (DSS), myGRaCE, that integrates service user (SU) and practitioner expertise about mental health and associated risks of suicide, self-harm, harm to others, self-neglect, and vulnerability. The intention is to help SUs assess and manage their own mental health collaboratively with practitioners. Methods: An iterative process involving interviews, focus groups, and agile software development with 115 SUs, to elicit and implement myGRaCE requirements. Results: Findings highlight shared understanding of mental health risk between SUs and practitioners that can be integrated within a single model. However, important differences were revealed in SUs' preferred process of assessing risks and safety, which are reflected in the distinctive interface, navigation, tool functionality and language developed for myGRaCE. A challenge was how to provide flexible access without overwhelming and confusing users. Conclusion: The methods show that practitioner expertise can be reformulated in a format that simultaneously captures SU expertise, to provide a tool highly valued by SUs. A stepped process adds necessary structure to the assessment, each step with its own feedback and guidance. Practice Implications: The GRiST web-based DSS (www.egrist.org) links and integrates myGRaCE self-assessments with GRiST practitioner assessments for supporting collaborative and self-managed healthcare.