Citation

       “A company that employs 1,000 information workers can expect more than US$ 5 million in annual salary costs to go down the drain because of the time wasted looking for information and not finding it, IDC research found last year.”

Related Content

 

 Download & Evaluation

 
Please register now to receive your free personal download link via email to your valid company email address.
Name: 
Company: 
Country: 
Phone: 
E-mail: 
Yes, I accept the licensing terms and conditions

How to buy this product

How to buy

You can download and use the Shareware version with limited feature set completely FREE. To order a license for the full version please click the shopping cart.

Tag Suggester
License List price Buy now
FREE Shareware $0.00
1 Single Server
License
#300482366
$799.00 Add to Shopping Card
1 Annual Software Assurance
#300483056
$159.00 Add to Shopping Card


The Tag Suggester is also available with the Knowledge Management Suite.

For more information about licensing please check FAQs or contact sales@layer2.de directly. More about how to buy see here.
You can also order by fax:
+1 952 646-4552

KMS has been awarded Microsoft Platform Ready for SharePoint 2010:
KMS has been awared Microsoft Platform Ready for SharePoint 2010
KMS is successfully used for example by:
SharePoint KMS customer references
KMS was rated by Forrester Research:

Related Downloads

pdf ImageCase Study: SharePoint 2010 Knowledge Management @OBS

Read here how the Layer2 Knowledge Management Suite is used by Online Business Systems to fully leverage the new SharePoint 2010 KM and social features.

pdf ImageFlyer: Layer2 Partner Program

Partner with us as a software reseller or SharePoint service provider. There is a free partner program with up to 30% discount. Download as PDF.

Related Links

FREE SKOS-based taxonomies to use with Microsoft SharePoint

Import the following completely FREE SKOS Taxonomies to SharePoint using the Taxonomy Manager: STW Thesaurus for Economics, Thesaurus for the Social Sciences, Country Codes, Drug Administration Forms, Vocabularies for GeoSciML Geoscience information interchange, DDC Dewey Decimal Classification, Libris' vocabularies, National Széchényi Library's vocabularies, Library of Congress’ vocabularies, German national Library' subject headings, French National Library's subject headings, VIAF person authorities, Wikipedia categories, New York Times subjects, IVOA astronomy vocabularies, NASA taxonomy, GEMET General Multilingual Environmental Thesaurus, AGROVOC Agricultural Thesaurus, Linked Life Data, Taxonconcept, UK Public sector vocabularies, UMBEL Upper Mapping and Binding Exchange Layer, Blogger's Topics, GTAA, MeSH and IPSV, UKAT UK Archival Thesaurus, W3C Glossaries, Language codes, IPTC and other.

Information Management Magazine about Web 3.0, semantic and social interaction

"With Web 3.0, the Internet can finally realize elaborate and complex virtual worlds, where social interaction drives business operations." (William Laurent)

Introduction to Enterprise Metadata Management in SharePoint Server 2010

This article provides an overview of some of the key concepts related to working with the new managed metadata features in Microsoft SharePoint Server 2010. It discusses how the new managed metadata features provide support for the implementation of formal taxonomies through managed terms. It also explains how social tags work, and how they relate to managed metadata features such as managed terms and enterprise keywords.

Main Content

The Tag Suggester for Microsoft SharePoint Server 2010 automatically offers content-based category suggestions while tagging.

Claim

While manually tagging or categorizing items and documents with SharePoint 2010 using the new managed metadata and enterprise keyword columns, the Tag Suggester for Microsoft SharePoint Server 2010 automatically offers a set of appropriate content-based category or keyword suggestions, depending on the term store taxonomies and managed metadata, synonyms, tag rules, item and document properties and metadata, information store context and textual document contents. By default SharePoint 2010 offers an auto-complete feature only. The Tag Suggester is available as part of the Knowledge Management Suite for SharePoint 2010 or separately.

Tag Suggester for Microsoft SharePoint Server 2010 - Features & Benefits

 

Fig.: While manually tagging an item or document, Tag Suggester - additionally to the out-of-the-box auto-complete search list - displays an additional tab "Suggestions" rendering a suggestion list, based on given Term Store taxonomies, tag rules, item properties, context and document content.

The Tag Suggester für SharePoint 2010 offers the following 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 sets / 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 quality of subject classification using a high performance Microsoft .NET Framework based 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 technology: The solution is completely based on the new Microsoft SharePoint Enterprise Metadata Management API. No MOSS 2007 legacy code or external 3rd party software (e.g. Lucene index) is used by default.
  • Open API: Optionally plug-in of existing 3rd party solutions for text-mining, rule generation etc. 
  • Seamless integration with other SharePoint Knowledge Management Suite components.
  • Localization in english and german language depending on site settings. 
  • You may also tag any external data sources to use with the SharePoint Knowledge Management and Social Networking features without any restrictions with the help of the Business Data List Connector for SharePoint.

The SharePoint Tag Suggester is available as component of the Knowledge Management Suite for SharePoint 2010 or separately. The solution comes with a robust installer to allow it to be easily deployed within any SharePoint environment. It is available for Microsoft SharePoint Server 2010 (any editions).

FREE Registration and Download

Please register to download a shareware version of the Knowledge Management Suite for SharePoint for free usage now. Use the registration form on this page or contact sales@layer2.de . 

How to Buy this Product

With the complete FREE shareware version you can download and use a feature-limited solution. To buy a license for this product, please click the shopping card symbols on this page.

The product is licensed on a per server base (one time fee). No additional clients licenses (CALs) are required. If you have several servers (e.g. in a farm scenario) all servers have to be licensed. You need a license for every web frontend server. For background operation (Auto Tagger) application servers have to be licensensed. Infrastructure server, e.g. for indexing or search don't need a license. You can optionally buy Software Assurance (SA) for free updates / upgrades to protect your investment.

For more information about licensing please check our FAQs or contact sales@layer2.de directly.

Installation & Setup

Please use the installer (*.exe) provided to install or upgrade the product. Use the "Run as Admin" option of the context menu (right click). After sucessfull installation please activate the feature on site collection level as a site collection administrator.

Please note: Befor using the the Tag Suggester is has to be activated in the Site Collection Features as Site Collection Administrator.

Shareware Limitations & Known Issues

Shareware Limitations:

  • The "Suggest" button is disabled for some seconds after tagging dialog pops up.

Please request a time limited full featured license for better evaluation, if required.

Known Issues with V1.6:

  • Attachments, folder names and content of fields of type "Enhanced Rich Text" are generally considered - but not for newly created unsaved items or documents. As a workaround you can first save the items and documents and then tag again.
  • While tagging publishing pages, the most current version is considered, not the published version.

Did you found any additional issues? Please give feedback.

Background Information

The simplicity and popularity of collaborative tagging as an information organization approach comes at the expense of several limitations. 

Manual content categorization / tagging

Traditionally, content has been categorized by subject experts, who manually reviewed documents and matched them to categories within a taxonomy. Despite the costs involved in manual categorization, it is perceived to have one key advantage: 100% accuracy. This is not necessarily true:
  • Firstly, people choose tags based on their personal opinions, their knowledge background and their preferences. Subject experts may not have the bigger picture. An expert categorizing documents in his field does not necessarily possess expertise in other subjects - other parts of the taxonomy. An article about a businessman purchasing a baseball team may be reviewed by a sports expert, and categorized in the "Basketball" category, but not in one of the more specific subcategories of the "Mergers and Acquisitions" category.
  • Furthermore, users may be describing the same object based on different granularity. This creates a noisy tag space and thus makes it harder to find material tagged by other users.
  • Secondly, people may use polysemous words (a word that has many related senses) in order to tag the web resources. The lack of semantic distinction in tags can lead to inappropriate connections between items.
  • Another problem is that different tags, which are either synonymous or have closely related meaning increase data redundancy, leading to reduced recall of information.
  • Last, but not least, people tend to assign a very small number of tags to an object.

In addition, manual categorization it completely impractical for very large repositories of data that grow at a fast pace - exactly the case for most modern organizations.

All these limitations have led researchers to develop methods that assist users in the tagging process, by automatically suggesting an appropriate rich set of tags, in order to avoid the aforementioned obstacles.

Automatic rule-based content categorizing / tagging

Using this approach, information experts attempt to define the discriminating properties of categories using a set of rules. These rules may be simple (e.g. "does the word 'snow' appear in the document"), or use more complex operators (e.g. "does the word 'snow' appear together with the word 'skate'"). In order to find precise rules that distinguish similar categories (for example, "Financial Planning" and "Investment Banking") one needs substancial expertise in the subject being covered. This approach's reliance on human-comprehensible rules is an advantage, because it allows an organization to leverage existing knowledge and expertise. It needs time, effort and expertise to create the rules - but the results are absolutely predictable and can be improved step by step.