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• W366104802 abstract "Interoperability of e-government systems is suggested to increase transparency, efficiency, effectiveness, and customer service in the public sector. Generic data models are often seen as a way for achieving especially semantic interoperability. To assess how the contemporary data models support semantic egovernment interoperability, we reviewed literature on data models suggested for the public sector in light of four features: standard modelling language, entityrelationship modelling, vocabulary for data exchange and methodology. The review contributes previous research by introducing a four-feature framework for assessing capability of e-government data models to enhance interoperability and by providing an up-to-date review of the generic data models for this purpose." @default.
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• W366104802 date "2014-01-01" @default.
• W366104802 modified "2023-09-28" @default.
• W366104802 title "Generic Data Models for Semantic e-Government Interoperability : Literature Review" @default.
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• W366104802 doi "https://doi.org/10.3233/978-1-61499-429-9-106" @default.
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