DIRA : A Framework of Data Integration Using Data Quality
نویسندگان
چکیده
منابع مشابه
DIRA: A Framework Of Data Integration Using Data Quality
Data integration is the process of collecting data from different data sources and providing user with unified view of answers that meet his requirements. The quality of query answers can be improved by identifying the quality of data sources according to some quality measures and retrieving data from only significant ones. Query answers that returned from significant data sources can be ranked...
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Data integration (DI) is the process of collecting data needed for answering a query from distributed and heterogeneous data sources and providing users with a unified form of this data. Data integration is strictly tied with data quality due to two main data integration challenges first, providing user with high qualitative query results second, identifying and solving values conflicts on the ...
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Data Integration (DI) aims to combine distributed information conforming to different data models and provide interfaces for accessing such information. DI is a complex process and DI quality is difficult to assess. This paper aims to determine and improve DI quality by presenting an ontology-based quality framework focusing on the users’ requirements extended with quality criteria and factors ...
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Enterprises have a large amount of data available, represented in different formats normally accessible for different specialists through different tools. Integrating existing data, also those from more informal sources, can have great business value when used together as discussed for instance in connection to big data. On the other hand, the level of integration and exploitation will depend b...
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ژورنال
عنوان ژورنال: International Journal of Data Mining & Knowledge Management Process
سال: 2016
ISSN: 2231-007X,2230-9608
DOI: 10.5121/ijdkp.2016.6204