Browsing by Author "Hamed Kholief, Mohamed"

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    Data Quality Based Data Integration Approach
    (World of Computer Science and Information TechnologyJournal (WCSIT), 2015) Samir Abdel-Moneim, Mohamed; Hamed El-Bastawissy, Ali; Hamed Kholief, Mohamed
    Data integration systems (DIS) are systems where query answers are collected from a set of heterogeneous and autonomous data sources. Data integration systems can improve results by detecting the quality of the data sources and retrieve answers from the significant ones only. The quality measures of the data in the data sources not only help in determining the significant data sources for a given querybut also help data integration systems produce results in a reasonable amount of time and with less errors.In this paper, we perform an experiment that shows a mechanism used to calculate and store a set of quality measures on data sources. The quality measures are,then,interactively used in selecting the most significant candidates of data sources to answerusers’queries. The justification and evaluations are done using amalgam and THALIAbenchmarks. We show that our approach dramatically improves query’s answers
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    Quality Driven Approach for Data Integration Systems
    (7th Int. Conf. Inf. Technol, 2015) Samir Abdel-Moneim, Mohamed; Hamed El-Bastawissy, Ali; Hamed Kholief, Mohamed
    By data integration systems (DIS) we mean the systems in which query answers are instantaneously mapped from a set of available data sources. The query answers may be improved by detecting the quality of the data sources and map answers from the significant ones only. The quality measures of the data in the data sources may help in determining the significant data sources for a given query. In this paper, we suggest a method to calculate and store a set of quality measures on data sources. The quality measures are, then, interactively used in selecting the most significant candidates of data sources to answer user queries. User queries may include the user preferences of quality issues. Quality-based approach becomes increasingly important in case of big number of data sources or when the user requires data with specific quality preferences.