98,372 research outputs found

    OpenMI - The universal glue for integrated modelling?

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    Referent tracking for corporate memories

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    For corporate memory and enterprise ontology systems to be maximally useful, they must be freed from certain barriers placed around them by traditional knowledge management paradigms. This means, above all, that they must mirror more faithfully those portions of reality which are salient to the workings of the enterprise, including the changes that occur with the passage of time. The purpose of this chapter is to demonstrate how theories based on philosophical realism can contribute to this objective. We discuss how realism-based ontologies (capturing what is generic) combined with referent tracking (capturing what is specific) can play a key role in building the robust and useful corporate memories of the future

    Enabling Personalized Composition and Adaptive Provisioning of Web Services

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    The proliferation of interconnected computing devices is fostering the emergence of environments where Web services made available to mobile users are a commodity. Unfortunately, inherent limitations of mobile devices still hinder the seamless access to Web services, and their use in supporting complex user activities. In this paper, we describe the design and implementation of a distributed, adaptive, and context-aware framework for personalized service composition and provisioning adapted to mobile users. Users specify their preferences by annotating existing process templates, leading to personalized service-based processes. To cater for the possibility of low bandwidth communication channels and frequent disconnections, an execution model is proposed whereby the responsibility of orchestrating personalized processes is spread across the participating services and user agents. In addition, the execution model is adaptive in the sense that the runtime environment is able to detect exceptions and react to them according to a set of rules

    Underlying structures of risk response measures among small and medium contractors in South Africa

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    Although attention has been given to the measures used to respond to risk in the construction industry (CI), there is limited literature that scrutinizes underlying structures of risk response measures (RRMs) especially among small and medium enterprises (SMEs). This study, therefore, presents findings from an exploratory factor analysis (EFA) of RRMs. A positivist paradigm was adopted to collect empirical raw data from 181 conveniently sampled respondents in Gauteng, South Africa (SA), using a structured questionnaire. The results support the extant literature and empirically established the structural composition of risk response by two constructs. The construct with emerged measures was termed trailing measures while the one with popular measures was termed leading measures of risk response. However, the study yielded a two-factor model with all the six items supposed to measure risk response. Based on the results obtained, it seems that risk avoidance and risk mitigation are reliable measures for measuring risk response. This study could thus serve as a reference for the accurate measurement of risk response and for the development of agreed responses for each risk, including an appropriate strategy and specific responses to implement the chosen strategy. The study was limited to the CI and to a lesser extent, construction SMEs in Gauteng; hence the findings cannot be generalized to all SMEs in SA
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