Auto Tagger for Microsoft SharePoint Server 2010

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License: Freeware
Price:
$0.00
Rated:
Downloads: 4
Op. System: Windows 7/Vista/XP
Last updated: 2011-06-28
File size: 4.33 MB
Publisher: SharePointBooot
Related software:

Publisher description for Auto Tagger for Microsoft SharePoint Server 2010

Auto Tagger for Microsoft SharePoint Server 2010 program icon

Auto Tagger for Microsoft SharePoint Server 2010 completely automatically categorizes SharePoint items and documents in background using taxonomy-based managed metadata or terms organized in the SharePoint Term Store.Tag rules, item and document properties and metadata, information store context and textual document contents are considered with the auto-classification. By Default SharePoint 2010 offers a manual tagging feature only. Auto Tagger for SharePoint 2010 is available as part of the Knowledge Management Suite for SharePoint 2010. Tagging by default exposes relevant information on SharePoint portals. Auto Tagger f??r SharePoint 2010 offers the following additional features and benefits: * Increased productivity and precision while bulk-tagging SharePoint items and documents automatically using a robust multi-level auto-classification system, based on given taxonomies / managed metadata. * Auto Tagger could be helpful for initial tagging, e.g. after content migration from any system to SharePoint 2010, as well as for daily background operation. * Taxonomy entry point (root node) is automatically chosen with respect to the current meta data column settings. * List items are processed as well as enterprise 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 available. * Use of categorization rules for auto-classification is supported (e.g. one term is in document content while another term is not). High quality of subject classification using a high performance completely Microsoft .NET Framework based rule engine.

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