236 research outputs found

    Discover, Reuse and Share Knowledge on Service Oriented Architectures

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    Current Semantic Web frameworks provide a complete infrastructure to manage ontologies schemes easing information retrieval with inference support. Ideally, the use of their frameworks should be transparent and decoupled, avoiding direct dependencies either on the application logic or on the ontology language. Besides there are different logic models used by ontology languages (OWL- Description Logic, OpenCyc-FOL, ...) and query languages (RDQL, SPARQL, OWLQL, nRQL, etc..). These facts show integration and interoperability tasks between ontologies and applications are tedious on currently systems. This research provides a general ESB service engine design based on JBI that enables ontology query and reasoning capabilities thought an Enterprise Service Bus. An early prototype that shows how works our research ideas has been developed

    Conceptualization and Visual Knowledge Organization

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    Digital Twins:An enabler for digital transformation

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    Digital Twins:An enabler for digital transformation

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    Digital Twins are a virtual representation of anything of value for an organization that create a link between the real and virtual worlds by a continuous bidirectional data/information exchange. In this chapter we present the origins of the concept and how it evolved with the advent of new technological trends. In addition, we describe the main characteristics of a Digital Twin, the benefits of its use, and real-world examples of the usage of digital twins’. Finally, the challenges for its adoption, and the elements to be considered for managing the quality of the Digital Twin are presented to give a complete overview of this new technology.Full book available: https://www.rug.nl/gdbc/the-gdbc-book

    Taxonomy of Cloud Lock-in Challenges

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    This chapter reviews key concepts and terminologies needed for understanding the complexity of the vendor lock-in problem being investigated in this book. Firstly, we present aspects of cloud computing that contribute to vendor lock-in and briefly introduce existing results from cloud-related areas of computer science that contributes to understanding and tackling vendor lock-in. Secondly, we explore the literature on proprietary lock-in risks in cloud computing environments to identify its causes (i.e., restrictions), consequences, mitigations strategies, and related challenges faced by enterprise consumers migrating to cloud-based services. Then, we propose taxonomy of cloud lock-in perspectives based on reports of real experiences on migration to understand the overall cloud SaaS migration challenges. Finally, we narrow down to our perspective on cloud lock-in to three main perspectives which takes the use of sound techniques from IS research discipline and cloud-related literature into consideration, to improve the portability, security and interoperability of cloud (and on-premise) applications in hybrid environments. Collectively, the discussions presented herein, accordingly enables both academia and IT practitioners in the cloud computing community to get an overarching view of the process of combating application and data lock-in challenges, and security risks in the cloud

    Software Architecture by Component Selection

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