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...technical advances. vice president customer service is responsible for maintaining high levels of customer satisfaction. He needs to be able to rapidly identify emerging trends and patterns so they can be addressed immediately, analyze his call center volume, and identify causal agents responsible for new trouble tickets.

These two examples highlight the need for competitive and business intelligence applications that can query, analyze and mine large amounts of unstructured data, discover analytical insights into relevant trends, patterns and relationships, and seamlessly provide this information to decision-makers. Traditional intelligence gathering applications are based upon structured, numerical data stored in relational databases or specialized data mining software. Companies today confront the challenge of extracting insights and knowledge from vast amounts of unstructured information and applying them for competitive advantage.

Taxonomies organize unstructured information by providing hierarchically organized topics that can be used to categorize vast amounts of information. Based upon the extent and granularity of the taxonomy, as well as extracted metadata and categorization accuracy, business intelligence applications can leverage the taxonomy to discover hidden semantic and causal relationships between topics, including:

* new relationships between topics in real time;

* hidden semantic neighbors and networks between topics; and

* emerging and historical patterns, trends and causal relationships.

Total Taxonomy Lifecycle Management

Developing and managing enterprisewide taxonomies and their associated classification models as critical resources for business intelligence applications...

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