Ontology Based Prediction of Difficult Keyword Queries

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Provided by: International Journal Innovative Research in Science & Engineering (IJIRSE)
Topic: Data Management
Format: PDF
Keyword queries are used to access data from databases. To improve the performance of querying system it would be useful to identify queries with low ranking quality. The degree of difficulty of a keyword query can be measured by analyzing the characteristics of difficult queries. The difficulty of a query over a database is predicted by considering the structure and the content of the database and the query results. An improved structured robustness algorithm based key word prediction is proposed by utilizing ontological mapping carried out using the word net tool.
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