CDI's automatic metadata generation offering enables an organization to extract compound terms, acronyms, and keywords from a document and/or corpus of documents that are highly correlated to a particular concept or meta tag. When these compound terms are prevalent within a particular document, that document is automatically "meta-tagged‟ eliminating the requirement for an individual to subjectively apply metadata to the properties of a document. The metadata automatically populates SharePoint properties and can then be used in the building out of taxonomies and in the automatic classification process, ultimately resulting in an enhanced search experience. Browse through the following presentation to get some insight as to how this technology is being used.
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Regardless of industry, end user search should "just happen". Without the combination of sematic and syntactic metadata this is a dream. Concept Searching has solved this problem with their product conceptClassifier™ for SharePoint® .
This product includes automatic semantic metadata generation, automatic classification and taxonomy management. Utilizing concept extraction and compund term processing the product automatically identifies the most signifigant patterns in any text.
Automatic metadata generation enables an organization to extract compound terms, acronyms, and keywords from a document and/or corpus of documents that are highly correlated to a particular concept or meta tag.
conceptClassifier™ for SharePoint provides automatic document classification and taxonomy mangement to Microsoft® SharePoint. A range of WebParts are provided that deliver complete solutions out-of-the-box.
conceptClassifier™ for SharePoint works without the need to build another search index and can feed its results directly into SharePoint Properties where Microsoft® Enterprise Search can utilize the metadata for enhanced searching, such as faceted search or results filtering.
For more information about Concept Searching's technology offerings please email: This email address is being protected from spambots. You need JavaScript enabled to view it. , click here and visit our Document Library.