Knowledge Discovery 25.1
Knowledge Discovery Expert

# Collaboration and Expertise Network

The Collaboration and Expertise Network (CEN) uses both the Category and Community components to perform expertise location.

Category can create a visual representation (spectrograph) of the most important concepts in your data index, and the way these change over time. It creates spectrographs using a representation of the state of a Content component index at a certain point in time, called a snapshot. Community can profile users based on the content of documents that they view. All such profiles are stored in the Agentstore, which is a specially configured Content component.

By taking snapshots of both a document index and the profiles in the Agentstore, and combining these in a spectrograph, you can easily see matches between important concepts in a document index, and the interests and skills of your users. Such matches are highlighted in green on the spectrograph.

Category stores the spectrograph data featuring these matches on disk to allow easy retrieval. Consequently, you can use the match data - officially called overlay clusters - in a variety of different ways if a spectrograph is not suitable.

## Example Uses

CEN pairs up important concepts with the users who know about these concepts, or have interests in them.

This method is useful if you are not sure what kind of expertise exists in your set of users, or you do not know what expertise you require. This might allow you to deal with subject areas as they arise in your index by finding experts in that field, when you do not know what those areas are before they occur.

If concepts arise in the document index that suggest a security breach issue, you can use CEN to find and assign a security expert quickly.

## Create CEN Data

To use the CEN functionality, OpenText recommends that you take regular snapshots of both the document index and the Agentstore. You can configure a schedule to run these operations automatically.

To take a profile snapshot, you must set the `Profile` parameter to `True` in the action or scheduled action. For best results, try to have as many profile snapshots as there are document index snapshots, because profiles also evolve over time. If you schedule both snapshots, this is easily achieved.

To create the CEN spectrograph data, run or schedule the following action:

    action=ClusterSGDataGen&SourceJobName=DocumentSnapshotJobname&ProfileSourceJobName=ProfileSnapshotJobname&TargetJobName=CENJobname

You can then retrieve the spectrograph, or its corresponding data or documents, using the `ClusterSGPicServe`, `ClusterSGDataServe`, and `ClusterSGDocsServe` actions, respectively.

Copyright 2024 Open Text
Version 25.1 | Last updated January 2025

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Product: Knowledge Discovery 25.1

Topic Title: Collaboration and Expertise Network