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Data Integrity

,Data Integrity,Data integration,data integrated,Data Integrating,data integrators,data integrates,data integrator,data integrations,data integr,data

Data Integrity
Publications: 8,999| Citation Count: 63,164
Stemming Variations: Data integration, data integrated, Data Integrating, data integrators, data integrates
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    • Data integration is a pervasive challenge faced in appli-cations that need to query across multiple autonomous and heterogeneous data sources. Data integration is crucial in large enterprises that own a multitude of data sources, for progress in large-scale scientific projects, where data sets are being produced independently by multiple researchers, for better cooperation among government agencies, each with their own data sources, and in o ering good search quality across the millions of structured data sources on the World-Wide Web...

    Alon Y. Halevy, et al. Data Integration: The Teenage Years

    • Data integration is a process of retrieving, merging and storing of data originated in heterogeneous sources of data. The main problem facing the data integration is the structural and semantic heterogeneity of participating data. A concern of research communities in computer sciences is the development of semi-automatic tools to assist the user in an effective way in the data integration processes...

    Monica Larre, et al. MONIL Language, an Alternative for Data Integration

    • Data integration is a process of retrieving, merging and storing of data originated in heterogeneous sources of data. The main problem facing the data integration is the structural and semantic heterogeneity of participating data. A concern of research communities in computer sciences is the development of semi-automatic tools to assist the user in an effective way in the data integration processes...

    Mónica Larre, et al. MONIL Language, an Alternative for Data Integration El Lenguaje MONIL,...

    • Data integration is an effective method to interoperate data that reside in different sources for the purpose of providing users with a single point of access to those data. Due to data heterogeneity, data correctness and consistency are significant for integration. Richer semantics of data is a major factor in resolving conflicts among heterogeneous data sources. As UML class model represents only schema-based semantics of data (e.g...

    Manachaya Jamadhvaja, et al. An integration of data sources with UML class models based on ontologi...

    • Data integration is an important part of biological applications that acquire data generated using evolving technologies and methods or involve data analysis across diverse specialized databases that reflect the expertise of different groups in a specific domain. The increasing number of such databases, the emergence of new types of data that need to be captured, as well as the evolving biological knowledge add to the complexity of already challenging integration problems...

    Victor M. Markowitz. An Application Driven Perspective on Biological Data Integration

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