Negotiating the Semantic Gap: From Feature Maps to Semantic Landscapes

  title={Negotiating the Semantic Gap: From Feature Maps to Semantic Landscapes},
  author={William I. Grosky and Rong Zhao},
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic indexing (LSI), in conjunction with normalization and term weighting, which have been used for full-text retrieval for many years. In this environment, LSI determines clusters of co-occurring keywords, sometimes, called concepts, so that a query which uses a particular keyword can then retrieve documents perhaps not… CONTINUE READING
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