Semantic Software Technologies: Landscape of High-Value Applications for the Enterprise
Over thirty companies that embody semantic technologies are routinely featured in surveys of the enterprise search landscape. But dozens more contribute semantic software solutions in the broader information marketplace, and they are largely unknown to the average knowledge worker. Because these tools are not familiar to IT and business managers, they are underutilized where opportunities for major semantic search improvements could be made.This report will enable organizations to realize better business outcomes by identifying, selecting and implementing the appropriate software for a particular enterprise work function. It is not exhaustive but representative of the range of semantic software technologies in use today, including text mining and text analytics, concept and entity extraction, concept analysis, natural language processing (NLP), sentiment analysis, and auto-categorization.
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July 1, 2010
89 pages
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Keywords: Enterprise search, aggregation, and categorization Search Enterprise Technology