M. Hadi Zahedi

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Semantic relation extraction is a significant topic in semantic web and natural language processing with various important applications such as knowledge acquisition, web and text mining, information retrieval and search engine, text classification and summarization. Many approaches such rule base, machine learning and statistical methods have been applied,(More)
General search engines often provide low precise results even for detailed queries. So there is a vital need to elicit useful information like keywords for search engines to provide acceptable results for user's search queries. Although many methods have been proposed to show how to extract keywords automatically, all attempt to get a better recall,(More)
One of the important objectives of business data visualization for decision making is to assist the user in their cognition and recall of prominent features and patterns of data. In this study, we argue that visualization of multi-dimensional data is important and difficult. To be effective, such systems should utilize the inherent human perceptual skills(More)
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