879 resultados para Web services. Service orchestration languages. PEWS. Graphreduction machines


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This paper proposes a novel application of fuzzy logic to web data mining for two basic problems of a website: popularity and satisfaction. Popularity means that people will visit the website while satisfaction refers to the usefulness of the site. We will illustrate that the popularity of a website is a fuzzy logic problem. It is an important characteristic of a website in order to survive in Internet commerce. The satisfaction of a website is also a fuzzy logic problem that represents the degree of success in the application of information technology to the business. We propose a framework of fuzzy logic for the representation of these two problems based on web data mining techniques to fuzzify the attributes of a website.

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A qualitative study involving semi-structured interviews with 31 people with disabilities and 32 carers in the state of Queensland, Australia, found that their experience of supportive service delivery had not improved despite reforms of the service delivery system driven by a version of the quasi-market model. Instead of delivering increased consumer choice and improved efficiency in service delivery, service users experienced inadequate service supply, service cutbacks, and an increased emphasis on cost subsidisation and assessment processes. Additionally, few consumers felt that individualised funding arrangements had personally delivered the benefits which the quasi-market model and associated policy paradigm had indicated that they should receive. For many consumers, the notion of consumer 'choice' around service provision was fictitious and they felt that any efficiency gains were at the agency level, largely at the consumers' cost. It is concluded that there appears to be no particular benefit to service users of quasi-market reforms, particularly in policy contexts where service delivery systems are historically under-funded.

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Objectives: Comparatively few people with severe mental illness are employed despite evidence that many people within this group wish to obtain, can obtain and sustain employment, and that employment can contribute to recovery. This investigation aimed to: (i) describe the current policy and service environment within which people with severe mental illness receive employment services; (ii) identify evidence-based practices that improve employment outcomes for people with severe mental illness; (iii) determine the extent to which the current Australian policy environment is consistent with the implementation of evidence-based employment services for people with severe mental illness; and (iv) identify methods and priorities for enhancing employment services for Australians with severe mental illness through implementation of evidence-based practices. Method: Current Australian practices were identified, having reference to policy and legal documents, funding body requirements and anecdotal reports. Evidence-based employment services for people with severe mental illness were identified through examination of published reviews and the results of recent controlled trials. Results: Current policy settings support the provision of employment services for people with severe mental illness separate from clinical services. Recent studies have identified integration of clinical and employment services as a major factor in the effectiveness of employment services. This is usually achieved through co-location of employment and mental health services. Conclusions: Optimal evidence-based employment services are needed by Australians with severe mental illness. Providing optimal services is a challenge in the current policy environment. Service integration may be achieved through enhanced intersectoral links between employment and mental health service providers as well as by co-locating employment specialists within a mental health care setting.

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In the UK, low vision rehabilitation is delivered by a wide variety of providers with different strategies being used to integrate services from health, social care and the voluntary sector. In order to capture the current diversity of service provision the Low vision Service Model Evaluation (LOVSME) project aimed to profile selected low vision services using published standards for service delivery as a guide. Seven geographically and organizationally varied low-vision services across England were chosen for their diversity and all agreed to participate. A series of questionnaires and follow-up visits were undertaken to obtain a comprehensive description of each service, including the staff workloads and the cost of providing the service. In this paper the strengths of each model of delivery are discussed, and examples of good practice identified. As a result of the project, an Assessment Framework tool has been developed that aims to help other service providers evaluate different aspects of their own service to identify any gaps in existing service provision, and will act as a benchmark for future service development.

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DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

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The work in this chapter is concerned with product-centric servitization. This is where a portfolio of services are formed and integrated to support product availability and use. Such servitization can be a valuable source of revenue for a manufacturer, yet little attention has been given to the configuration of the wider operations strategy that needs to be in place to deliver integrated products and services successfully. Therefore, the purpose of this chapter is to put forward a generic set of characteristics for such operations. Our intention is that these characteristics will be valuable to practitioners contemplating sophisticated forms of servitization, as they suggest the likely and significant changes that will be needed to the operations strategy of a conventional manufacturing organisation.

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Web APIs have gained increasing popularity in recent Web service technology development owing to its simplicity of technology stack and the proliferation of mashups. However, efficiently discovering Web APIs and the relevant documentations on the Web is still a challenging task even with the best resources available on the Web. In this paper we cast the problem of detecting the Web API documentations as a text classification problem of classifying a given Web page as Web API associated or not. We propose a supervised generative topic model called feature latent Dirichlet allocation (feaLDA) which offers a generic probabilistic framework for automatic detection of Web APIs. feaLDA not only captures the correspondence between data and the associated class labels, but also provides a mechanism for incorporating side information such as labelled features automatically learned from data that can effectively help improving classification performance. Extensive experiments on our Web APIs documentation dataset shows that the feaLDA model outperforms three strong supervised baselines including naive Bayes, support vector machines, and the maximum entropy model, by over 3% in classification accuracy. In addition, feaLDA also gives superior performance when compared against other existing supervised topic models.

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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.