Enterprise Architecture Integration (EAI) focuses on integrating the disparate application systems through a variety technologies like Service Oriented Architecture (SOA), Enterprise Data Stores, and Middleware. While these technologies may overlap, the one consistent requirement is the ability to capture the information and knowledge in a metadata repository. Treating information technology components as assets opens the door to the possibility of building knowledge repositories that enable the organization to reuse technologies wherever possible. Enterprise metadata is a general term used to describe the entire collection of repositories that deliver various meta-models of information to the end user. As a standard operating practice, repositories are built with simple classifications schemes from the asset producer or broker point of view. These classifications may include an advanced taxonomy but the majority of implementations focus on a single term domain. Emerging technologies based on the consumer's perspective are opening up new opportunities to discover and understand how the asset is utilized within the environment. This paper will review the integration of two consumer based taxonomies into a fortune 500 corporate enterprise metadata implementation.
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