Academic
Keywords
Information Integration

,Information Integration,information integrity,information integrate,information integrator,information integrated,information integrates,information

Information Integration
Publications: 3,891| Citation Count: 33,553
Stemming Variations: information integrity, information integrate, information integrator, information integrated, information integrates
Cumulative Annual
    • Information Integration is a young and exciting field with enormous research and commercial significance in the new world of the Information Society. It stands at the crossroad of Databases and Artificial Intelligence requiring novel techniques that bring together different methods from these fields...

    Yannis Dimopouloset al. Information Integration and Computational Logic

    • Information integration is a difficult research problem. In an ambient environment, where devices can connect and disconnect arbitrarily, the problem only increases, because data sources may become available at any time, but can also disappear. In such an environment, information integration needs to be unattended, because information integration opportunities arise on ad-hoc basis...

    Ander de Keijzeret al. Probabilistic XML in Information Integration

    • Information integration is the task of aggregating data from multiple heterogeneous data sources. The understandings of semantics and context knowledge of data sources are often the keys to challenging problems in information integration such as schema alignments and inconsistency resolution. Context logic provides a unified framework for the modeling of data sources; nevertheless, the acquisition of large amounts of context knowledge is difficult and possibly infeasible...

    Honglei Zenget al. Extracting Assumptions from Incomplete Data

    • Information integration is the task of aggregating data from multiple heterogeneous data sources. The understandings of context knowledge of data sources are often the keys to challenging problems in information integration such as handling missing and inconsistent data. Context logic provides a unified framework for the modeling of data sources; nevertheless, the acquisition of large amounts of context knowledge is difficult...

    Honglei Zenget al. Extracting Assumptions from Missing Data

    • Information integration is a key challenge faced by all major organizations, business and governmental ones alike. Two research facets of this challenge that have received considerable attention in recent years are data exchange and data integration. The study of data exchange and data integration has been facilitated by the systematic use of schema mappings, which are high-level specifications that describe the relationship between two database schemas...

    Balder ten Cateet al. Structural characterizations of schema-mapping languages

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