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In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, Latent Semantic Indexing (LSI), which has been used for textual information retrieval for many years. In this environment, LSI is used to determine clusters of cooccurring keywords, sometimes, called concepts, so that a query which uses a particular keyword can then retrieve documents perhapsdoi:10.1109/tmm.2002.1017733 fatcat:52qgrls22fho7ogfoct3vt7zye