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Big Data Semantics & Search

Since there is such an extreme amount of data available in a Big Data platform, it is important to understand the situational relevance of certain types of data needed to drive business value. Understanding and managing the semantics of the data is centrally important for optimizing its relevance.

As organizations extend the use of disparate information in exploratory data analysis, the core investment in semantic analysis of information content and alignment to standard vocabularies will be mapping as opposed to reengineering across use cases.

With common core automation and distribution of semantic content analysis, Knowledgent believes that companies can focus only on the data attributes that are core to their business; everything else can be integrated by a semantic search.

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