Model-driven Indexing: Indexing by Ignoring Content

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Indexing can be viewed is the process of segmenting a large information with the indices acting as descriptors for the subspaces. In the case of information retrieval systems, the indices are used to retrieve documents based on a user query, whereas in the case of knowledge navigation systems, the indices circumscribe browsable spaces of documents. In this paper, I take the position that traditional approaches to indexing are "datadriven"; an alternate "model-driven" approach to indexing has considerable promise, particularly within an enterprise setting.