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Due to its considerable ease of use, relational keyword search (R-KWS) has become increasingly popular. Its simplicity, however, comes at the cost of intensive query processing. Specifically, R-KWS explores a vast search space, comprised of all possible combinations of keyword occurrences in any attribute of every
Keyword-based search is popularized in Information Retrieval (IR) communities and Internet search engines on the Web. Nowadays, social networking, micro-blogging, and other data-driven websites store large amounts of information in relational databases. But searching in databases users need to know a database schema
Recent research has shown that keyword search is a friendly and potentially effective way to retrieve information of interest over relational databases. Existing work has generally focused on implementing keyword search in centralized databases. This paper addresses keyword search over distributed databases. We adopts
Keyword search is the dominant information discovery method in Information Retrieval (IR) systems and search engines on the Web. Nowadays, there is an increase amount of data stored in structured databases (Relational Databases). Searching on traditional database management system is done through customized
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.