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The literature provides a wide range of techniques to assess and improve the quality of data. Due to the diversity and complexity of these techniques, research has recently focused on defining methodologies that help the selection, customization, and application of data quality assessment and improvement techniques. The goal of this article is to provide a(More)
The development of modern Web 2.0 applications is increasingly characterized by the involvement of end users with typically limited programming skills. In particular, an emerging practice is the development of web mashups, i.e., applications based on the composition of contents and functions that are accessible via the Web. In this article, we try to(More)
This paper discusses the impact of energy consumption on information systems and business processes design. The goal is the development of context-aware and sustainable information systems where energy consumption reduction is considered at the technological level, on the basis of adaptable technology, on the governance level, with the design of(More)
Multichannel adaptive information systems can deliver services over different types of networks and access devices. Since different providers may offer either functionally equivalent or similar services, the quality of service (QoS) is a fundamental element of the service selection and the subsequent negotiation. This paper presents a taxonomy for quality(More)
With the advent of Service Oriented Architecture organizations have experienced services as a platform-independent technology to develop and use simple internal applications or outsource activities by searching for external services, thus enabling inter-organizational interactions. In this scenario, services are units of work provided by service providers(More)
Despite several years of mashup practice and research, it is still hard to find high-quality, useful mashups on the Web. While this can be partly ascribed to the low quality of the components used in the mashups or simply to the lack of suitable components, in this paper we argue that this is partly also due to the lack of suitable quality models for(More)
Guaranteeing high data quality levels is an important issue especially in information-intensive organizations. In fact, the core business of such organizations is based on the use of information for either providing personalized services or understanding and better satisfying customers' requirements. However, poor data quality has negative impacts on almost(More)