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HPE Content Component uses advanced pattern-matching technology to conceptually match the data that you query with (by using ACI actions) against the content in the HPE Content Component index.
You can submit natural language text or a piece of content to HPE Content Component, to return the references of conceptually related documents ranked by relevance or contextual distance. Natural language queries make it possible for users to find the results that they are looking for without having to be familiar with search algorithms or syntax. Online shoppers, for example, can find specific items without knowing the exact product or brand name.
You can use natural language to create an agent which HPE Content Component can then use for conceptual matching. As well as agents, you can submit profiles or natural language text to HPE Content Component, to return agents ranked by conceptual similarity. This query finds users that have similar interests (promoting collaboration), and identifies experts in a field.
You can submit a piece of content to HPE Content Component, to return categories ranked by conceptual similarity. This query determines which categories the piece of content is most appropriate for, so that you can tag, route, or file the piece of content accordingly.
You can use IDOL Server to organize large volumes of content or large numbers of profiles into self-consistent clusters. Clustering is an automatic agglomerative technique which allows IDOL Server to partition a corpus by grouping together information that contains similar concepts.