Tag Suggester for SharePoint by Layer2

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Tag Suggester for SharePoint by Layer2

Product Summary

Price, US $
Per Server
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While manually tagging or categorizing items and documents in Microsoft SharePoint using the managed metadata column, the Tag Suggester automatically offers a set of appropriate content-based category or keyword suggestions, depending on the term store taxonomies and managed metadata, tag rules, item and document properties and metadata, information store context and textual document contents.

By default SharePoint offers an auto-complete feature for Content classification only. The Web Part is available as part of the Knowledge Management Suite for SharePoint and separately.

Features and benefits:

  • Increased productivity and precision while tagging SharePoint items and documents manually based on given taxonomies / managed metadata. The system is not only able to suggest many useful tags, but also to discover new and relevant tags, not suggested by any of the human users.
  • An additional suggest list is displayed with appropriate tags / keywords based on certain term stores / taxonomies.
  • Taxonomy entry point (root node) is automatically chosen with respect to the current meta data column settings.
  • List items are processed as well as documents and files located in SharePoint libraries.
  • Properties (meta data column content) of list items and documents are considered for tagging.
  • The context of items and documents, e.g. site, list, library, folder is considered for tagging.
  • The document or file textual contents are considered, if IFilters are installed.
  • Use of categorization rules is supported (e.g. one term is in document content while another term is not). High performance Microsoft .NET Framework bases rule engine.
  • Installed IFilters are used for content analysis, e.g. Word, Excel, PowerPoint, PDF and many more).
  • Fully integrated in default SharePoint tagging dialog. Out-of-the-box features (e.g. auto-complete) are kept working.
  • 100% SharePoint 2010 / 2013 technology.

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