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-processing of Web search results have been extensively studied to help user effectively obtain useful information. This paper has basically three parts. First part is the review study on how the keyword is expanded through truncation or wildcards (which is a little known feature but one of the most powerful one) by using
The amount of multimedia information is rapidly increasing due to digital cameras. To interpret semantic of image, many researcher use keywords as textual annotation. Image semantic information retrieval became attractive for many peoples. Concept recognition is a key problem in semantic information searching. A new
A multi-agent based Web mining model is designed for the improvement of the efficiency of keywords based search engine. The model divides mining task into several parallel agents which coordinately work together, and the mining efficiency is improved greatly. Evolving from HITS, algorithm named Grabber in the model
Most of the algorithms proposed in the literature deal with the problem of digital image retrieval. To interpret semantic of image, many researcher use keywords as textual annotation. Concept recognition is a key problem in semantic information searching. In order to be effective and efficient, we proposed a parallel
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.