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Even when applications run on a private cloud, there are still interoperability challenges that make integration difficult to achieve.
It hides platform and protocol variations underneath it, thus facilitating interoperability challenges in IoT implementations.
Given the potential benefits, and the previous interoperability challenges faced by IT, it may seem surprising that it continues to be a problem.
Additionally the advantages and disadvantages of cloud computing have been summarized giving special focus on interoperability challenges.
This paper describes the experiences of Australia's National E-Health Transinion Ausingithein using the RM-ODP to address a number of interoperability challenges in Australian eHealth.
SOA and Web services can help to resolve these interoperability challenges by relying on Web services related standards such as SOAP, WSDL, XML, and XML schemas.
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Solving the interoperability challenge: safe and reliable information exchange requires more from product designers.
While administrations, and especially e-government "followers," have been recommended adopting service-oriented architecture (SOA) for the purpose of implementing G2G interoperability, the challenges of reaching this objective remain significant.
Achieving the seamless integration of these heterogeneous sensors into information systems to achieve interoperability is challenging.
Most electronic health record (EHR) systems are built on proprietary information models and terminology, which makes achieving semantic interoperability a challenge.
Helping Interdisciplinary Vocabulary Engineering (HIVE) is an automatic indexing, machine learning technology that addresses cost, interoperability and usability challenges associated with traditional vocabulary frameworks.
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