1 research outputs found

    Avoiding inconsistency in user preferences for data quality aware queries

    No full text
    In situations where for a single query, multiple sources of information are available or needed, quality of data sources should be considered. We introduce a framework called data-quality aware query systems (DQAQS) that factors in the quality of data in the query answering process. Query is answered by taking quality of elements of data into account against the user’s data-quality preferences such as completeness, currency, etc. User preferences may convey inconsistency which compromises the query response. In this paper we propose a method to graphically capture user preferences and visually feedback user on consistency of the query, through an efficient algorithm for detecting inconsistency in real-time, thus improving user satisfaction in DQAQ
    corecore