114 research outputs found

    State-of-the-art assessment on the implementations of international core data models for public administrations

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    Public administrations are often still organised in vertical, closed silos. The lack of common data standards (common data models and reference data) for exchanging information between administrations in a cross-domain and/or cross-border setting stands in the way of digital public services and automated flow of information between public administrations. Core data models address this issue, but are often created within the closed environment of a country or region and within one policy domain. A lack of insight exists in understanding and managing the life-cycle of these initiatives on public administration information systems for data modelling and data exchange. In this paper, we outline state-of-the-art implementations and vocabularies linked to the core data models. In particular we inventoried and selected existing core data models and identified tendencies in current practices based on the criteria creation, use, maintenance and coordination. Based on the analysis, this survey suggest research directions for policy and information management studies pointing to best practices regarding core data model implementations and their role in linking isolated data silos within a cross-country context. Finally we highlight the differences in their coordination and maintenance, depending on the state of creation and use

    A Hybrid Framework for Automated and Adaptive E-Business Platforms

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    The automation of business transactions between corporations has been dominated by proprietary and inflexible EDI solutions for a long time. During the last years, novel XML-based standards emerged which have a wider scope than EDI but strongly differ with regard to granularity and industry-focus. Due to the abundance of many complex standards with limited diffusion among users and industries, especially small-and medium-sized enterprises (SMEs) have not yet managed to automate the execution of business transactions and to seamlessly interconnect their respective IT applications. In this work, we propose a novel approach which builds on a composite of existing standards and combines them towards a hybrid architecture facilitating electronic business transactions. The Web Service stack represents the technical foundation of this approach, while parts of the ebXML standard are leveraged to ensure a common understanding of business information and processes between trading partners. A central server acts as repository of formal agreements, common data and process modeling artifacts and allows for intermittent connectivity of the users. Decentral adapter components enable connecting heterogeneous legacy applications of the users to the central server. The resulting approach can thus be considered as hybrid regarding the degree of centralism involved and with respect to the combination of the Web services stack and the ebXML standard as an infrastructural foundation

    MODI framework - A model-based approach to data integration

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    In this thesis we propose a model-based approach to support data integration between heterogeneous enterprise systems. It reviews literature about interoperability, and presents several aspects of data integration problems. Further, it intends to give the reader an understanding of model-driven development which offers different standards for modeling and model transformation. The work of this thesis presents difficulties encountered in data integration by analysing problem examples. Based on the analysis, data integration problems are defined. We examine technologies related to interoperability, data integration and mapping. In addition, we present existing solution approaches to deal with the problem examples. The main goal is to specify how to develop tools for solving data integration problems by describing and realizing mapping between models. The technique which is specified to realize the mapping is presented in our proposed solution, which we have called the MODI Framework

    Linked Data for Transaction Based Enterprise Interoperability

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    Interoperability is of major importance in B2B environments. Starting with EDI in the ‘80s, currently interoperability relies heavily on XML-based standards. Although having great impact, still issues remain to be solved for improving B2B interoperability. These issues include lack of dynamics, cost of implementations, adoption and cross-industry exchange. Linked Data (part of the Semantic Web) technology, although originally not intended for the B2B domain, holds the promise of overcoming some of these issues. This paper explores the potential of linked data technology within a B2B context by introducing and studying six scenarios for combining from light to heavy weight ‘traditional’ standards with Linked Data technology. This research shows that using Linked Data technology has most potential for specifying semantics formally. This provides the ‘best of both worlds’ solution, in which legacy systems remain unaltered, and developers are supported in (semi) automated generation of transformation schema’s to overcome different standards
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