955 resultados para Solid,Blockchain,Web decentralizzato,BCSolid,Trust Access
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The new Australian Computational Earth Systems Simulator research facility provides a virtual laboratory for studying the solid earth and its complex system behavior. The facility's capabilities complement those developed by overseas groups, thereby creating the infrastructure for an international computational solid earth research virtual observatory.
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Virtual teams differ from tradidonal, co-located teams in that they primarily communicate via informadon technolog}' such as email, video conferencing and web based coUaboradve environments rather than in a face-to-face medium. There has been a lack of empirical research into the influence that leadership has within virtual teams upon key outcomes such as performance and knowledge sharing. This paper examines antecedents of knowledge sharing and performance, namely role clarit)' and trust in a team leader. We predicted that transformadonal leadership would posidvely influence both performance and knowledge sharing within virtual teams. We also h^'pothesised that trust in a leader and role clarit)' would mediate both the associadon between transformadonal leadership and performance as well as the associadon between transformadonal leadership and knowledge sharing within virtual teams. Data was collected from a public sector organisadon using virtual teams, Pardcipants responded to a self-report quesdonnaire. Supervisor radngs of performance and knowledge sharing were also obtained. In general we found support for a posidve reladonship between transformadonal leadership and performance and knowledge sharing within virtual teams. Using mediated muldple regression, we found support for the mediadng role of trust in the leader and role clarit}' between transformadonal leadership and performance and knowledge sharing. Implicadons of the results are provided.
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There has been an increased demand for characterizing user access patterns using web mining techniques since the informative knowledge extracted from web server log files can not only offer benefits for web site structure improvement but also for better understanding of user navigational behavior. In this paper, we present a web usage mining method, which utilize web user usage and page linkage information to capture user access pattern based on Probabilistic Latent Semantic Analysis (PLSA) model. A specific probabilistic model analysis algorithm, EM algorithm, is applied to the integrated usage data to infer the latent semantic factors as well as generate user session clusters for revealing user access patterns. Experiments have been conducted on real world data set to validate the effectiveness of the proposed approach. The results have shown that the presented method is capable of characterizing the latent semantic factors and generating user profile in terms of weighted page vectors, which may reflect the common access interest exhibited by users among same session cluster.
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Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of click-stream data will lead to capture usage pattern information. Nowadays Web usage mining technique has become one of most widely used methods for Web recommendation, which customizes Web content to user-preferred style. Traditional techniques of Web usage mining, such as Web user session or Web page clustering, association rule and frequent navigational path mining can only discover usage pattern explicitly. They, however, cannot reveal the underlying navigational activities and identify the latent relationships that are associated with the patterns among Web users as well as Web pages. In this work, we propose a Web recommendation framework incorporating Web usage mining technique based on Probabilistic Latent Semantic Analysis (PLSA) model. The main advantages of this method are, not only to discover usage-based access pattern, but also to reveal the underlying latent factor as well. With the discovered user access pattern, we then present user more interested content via collaborative recommendation. To validate the effectiveness of proposed approach, we conduct experiments on real world datasets and make comparisons with some existing traditional techniques. The preliminary experimental results demonstrate the usability of the proposed approach.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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One of the main characteristics of the world that we live in is the access to information and one of the main ways to reach the information is the Internet. Most Internet sites put accessibility problem on a secondary plan. If we try to define this concept (accessibility) we could say that accessibility it’s a way to offer access to information for the people with disabilities. For example blind people can’t navigate on the Internet like usual people. For that reason Internet sites have to put at their disposal ways to make their content known to this people. Accessibility does not refer only at blind people the web accessibility refers to all people who lost their ability to access the Internet sites. The web accessibility includes every disability that stops people with disabilities to access the web sites content like hearing disability, neurological and cognitive. People that have low speed Internet connection or with low performance computers can use the web accessibility.
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This article presents the principal results of the doctoral thesis “Semantic-oriented Architecture and Models for Personalized and Adaptive Access to the Knowledge in Multimedia Digital Library” by Desislava Ivanova Paneva-Marinova (Institute of Mathematics and Informatics), successfully defended before the Specialised Academic Council for Informatics and Mathematical Modelling on 27 October, 2008.
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The paper gives an overview about the ongoing FP6-IST INFRAWEBS project and describes the main layers and software components embedded in an application oriented realisation framework. An important part of INFRAWEBS is a Semantic Web Unit (SWU) – a collaboration platform and interoperable middleware for ontology-based handling and maintaining of SWS. The framework provides knowledge about a specific domain and relies on ontologies to structure and exchange this knowledge to semantic service development modules. INFRAWEBS Designer and Composer are sub-modules of SWU responsible for creating Semantic Web Services using Case-Based Reasoning approach. The Service Access Middleware (SAM) is responsible for building up the communication channels between users and various other modules. It serves as a generic middleware for deployment of Semantic Web Services. This software toolset provides a development framework for creating and maintaining the full-life-cycle of Semantic Web Services with specific application support.
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ACM Computing Classification System (1998): J.2.