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In this paper, we propose a new method to realize free-form keyword search over a relational database. The basic idea of the method is based on a knowledge base that stores the related information of tuples in the database. Using the saved knowledge, we create an index and improve the classic ranking strategy in
, pattern recognition) to detect such critical documents. To address difficult or ambiguous instances, we supplement the text classifier with an automated keyword search. That is, we extract, in an automated fashion, discriminative terms (i.e., keywords) from the training set and match them against documents during the
Information needs of the users have grown exponentially with the advent of advancements in information and communication technology. The traditional ways of searching information from the online resources has been evolved and the tendency is geared more towards getting quality contents. In healthcare domain, the clinical researchers and physicians are even more interested to find quality information...
Information needs of the users have grown exponentially with the advent of advancements in information and communication technology. The traditional ways of searching information from the online resources has been evolved and the tendency is geared more towards getting quality contents. In healthcare domain, the clinical researchers and physicians are even more interested to find quality information...
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