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Search engines on the Web have popularized the keyword-based search paradigm, while searching in databases users need to know a database schema and a query language. Keyword search techniques on the Web cannot directly be applied to databases because the data on the Internet and database are in different forms
Keyword-Driven Analytical Processing (KDAP) integrates the simplicity of keyword search with the aggregation power in OLAP (Online-Analytical Processing), which provides an easy-to-use solution to organize the data in a way that a business analyst needs for thinking about the data. For any user query, the system
Search engines on the Web have popularized the keyword-based search paradigm, while searching in databases users need to know a database schema and a query language. Keyword search techniques on the Web cannot directly be applied to databases because the data on the Internet and database are in different forms. So
, and which require up-front data integration. At the other extreme, existing solutions employ keyword search queries over relational databases, as well as over semistructured data, which are too imprecise to specify exactly the user's intent. To address these limitations, we propose an alternative search paradigm in order
With an exponential growth in the amount of information available in diverse domains, the traditional information retrieval (IR) approaches which based on keywords can not meet the semantic needs of users. Semantic query, as an application of semantic Web, has shown significant potential in improving the performance
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.