724 research outputs found

    Semantic Business Process Modeling

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    This book presents a process-oriented business modeling framework based on semantic technologies. The framework consists of modeling languages, methods, and tools that allow for semantic modeling of business motivation, business policies and rules, and business processes. Quality of the proposed modeling framework is evaluated based on the modeling content of SAP Solution Composer and several real-world business scenarios

    PROCESS-ORIENTED SEMANTIC BUSINESS MODELING

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    In process-driven organizations, process models are the basis on which their supporting processaware information systems are built. Process modeling today is a highly complex, time consuming and error-prone task. In this paper, we define the abstraction levels of process modeling and extract the business knowledge required for modeling a process. Further, we present a processoriented enterprise ontology framework for capturing all relevant aspects of process models. Finally, we provide a set of application scenarios to illustrate the usage of the ontology framework. In this way, we reduce the complexity of process modeling, enable improved enterprise transparency and help ensuring the quality of designed process models

    Semantic business process modeling: Facilitating the design and verification of conceptual process models

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    This thesis contributes a business process modeling framework based on semantic technologies. The framework consists of modeling languages, methods and tools, which aim at facilitating the design and improving the quality of conceptual business process models

    Implications of monetary variables to investment and economic growth

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    The purpose of this study is to analyze and test the Implications of the monetary variable to investment and economic growth.The purpose of this study is expected which one among monetary variables give more significant effects Indicated on the economic growth either directly or indirectly, beside that be able to provide input to the others Researchers, and especially in the government that the investment Influences monetary variables and economic growth. Data Of research collected since 1970 to 2012, is hypothesis testing using path analysis, a model of a relationship structure that provides roommates forms and explain the causality among selected factors. The result of this study Showed that interest rate has a direct,negative and significant effects on the economic growth, while the exchange rate has influence on investment significantly. Beside that the exchange rate has a direct and indirect impact on economic growth The conclusion is that the exchange rate is one of the important instruments that can be used to improve economic growth Key Words: Variable Monetary, Investment, Economic Growt

    Towards Data Sharing across Decentralized and Federated IoT Data Analytics Platforms

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    In the past decade the Internet-of-Things concept has overwhelmingly entered all of the fields where data are produced and processed, thus, resulting in a plethora of IoT platforms, typically cloud-based, that centralize data and services management. In this scenario, the development of IoT services in domains such as smart cities, smart industry, e-health, automotive, are possible only for the owner of the IoT deployments or for ad-hoc business one-to-one collaboration agreements. The realization of "smarter" IoT services or even services that are not viable today envisions a complete data sharing with the usage of multiple data sources from multiple parties and the interconnection with other IoT services. In this context, this work studies several aspects of data sharing focusing on Internet-of-Things. We work towards the hyperconnection of IoT services to analyze data that goes beyond the boundaries of a single IoT system. This thesis presents a data analytics platform that: i) treats data analytics processes as services and decouples their management from the data analytics development; ii) decentralizes the data management and the execution of data analytics services between fog, edge and cloud; iii) federates peers of data analytics platforms managed by multiple parties allowing the design to scale into federation of federations; iv) encompasses intelligent handling of security and data usage control across the federation of decentralized platforms instances to reduce data and service management complexity. The proposed solution is experimentally evaluated in terms of performances and validated against use cases. Further, this work adopts and extends available standards and open sources, after an analysis of their capabilities, fostering an easier acceptance of the proposed framework. We also report efforts to initiate an IoT services ecosystem among 27 cities in Europe and Korea based on a novel methodology. We believe that this thesis open a viable path towards a hyperconnection of IoT data and services, minimizing the human effort to manage it, but leaving the full control of the data and service management to the users' will

    Model-Driven Management of Internal Controls for Business Process Compliance

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    The thesis tackles the problem of high effort for achieving business process compliance to regulations in the area of Enterprise Risk Management. Common to these regulations are requirements on the presence of effective internal controls in companies. The level of automation with regard to translating compliance requirements into a set of internal controls and assuring the effectiveness of these controls during execution of business processes is raised thorugh a novel model-driven approach

    A Survey on the Contributions of Software-Defined Networking to Traffic Engineering

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    Since the appearance of OpenFlow back in 2008, software-defined networking (SDN) has gained momentum. Although there are some discrepancies between the standards developing organizations working with SDN about what SDN is and how it is defined, they all outline traffic engineering (TE) as a key application. One of the most common objectives of TE is the congestion minimization, where techniques such as traffic splitting among multiple paths or advanced reservation systems are used. In such a scenario, this manuscript surveys the role of a comprehensive list of SDN protocols in TE solutions, in order to assess how these protocols can benefit TE. The SDN protocols have been categorized using the SDN architecture proposed by the open networking foundation, which differentiates among data-controller plane interfaces, application-controller plane interfaces, and management interfaces, in order to state how the interface type in which they operate influences TE. In addition, the impact of the SDN protocols on TE has been evaluated by comparing them with the path computation element (PCE)-based architecture. The PCE-based architecture has been selected to measure the impact of SDN on TE because it is the most novel TE architecture until the date, and because it already defines a set of metrics to measure the performance of TE solutions. We conclude that using the three types of interfaces simultaneously will result in more powerful and enhanced TE solutions, since they benefit TE in complementary ways.European Commission through the Horizon 2020 Research and Innovation Programme (GN4) under Grant 691567 Spanish Ministry of Economy and Competitiveness under the Secure Deployment of Services Over SDN and NFV-based Networks Project S&NSEC under Grant TEC2013-47960-C4-3-
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