Classification in MOSS

Despite widespread agreement on the criticality of classification for effective information Findability™ in MOSS, the conventional approach to classification in MOSS is cumbersome, labor intensive and most often unmanageable. Users stop classifying altogether.

Only iBox makes you realize the benefits of classification in MOSS

iBox allows instant Findability™ of information by extending MOSS with:

• Taxonomy and ontology models that are universal, complete, relevant, and capable of managing the dynamics of metadata


• Taxonomy and ontology model classification that is universal across systems, rich (with five tags or more), and accurate (an average of 95%)


• World class search and facetted navigation

iBox’s formula for Findability™ is straightforward:

      

iBox offers universal, rich and accurate classification across MOSS and other Microsoft content stores

iBox combines a number of fully and semi-automated classification technologies that generate high volume (five tags or more) and accurate (on average 95%) classification. iBox classifies files, lists, document libraries, sites and areas. iBox enables metadata classification with synonyms, hierarchies and relations. One of the most important features of iBox is that it “finger prints” individual files so they keep their classification if they are moved. iBox also enables classification of content stores that are not capable of handling metadata management and classification such as content stored on NTFS. Any change to the model in iBox is naturally reflected in the file classification with no need for re-indexing!
 

Get an overview of iBox MOSS or go directly to the iBox Video.