What We Do

… and Why We are Successful

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What We Do

Metadata is typically the failure point for many applications in the organizations. Typically performed by end users, it has a tendency to be inaccurate, ambiguous, missing, or just plain wrong. The Concept Searching approach is to eliminate the end user from metadata tagging but enable Subject Matter Experts to manage the taxonomy, or taxonomies to reflect their unique business terminology identified from their own corpus of information. This solves the metadata problem and makes available highly granular and meaningful metadata to any application.

  • The Concept Searching Difference

  • metadata

    Automatic generation of compound term metadata taxonomy


    Auto-classification to one or more taxonomies and optionall the SharePoint Term Store


    Advanced management
    Designed for Subject Matter Experts


    The Smart Content Framework™ and the offspring, Intelligent Content in Context is a solution that encompasses the cloud, on-premises, and a hybrid environment. The difference between the two is the Smart Content Framework™ focuses on developing a strategy of the management of metadata to achieve desired business objectives. The Intelligent Content in Context Framework is the tactical plan that an organization can apply to solve problems surrounding unstructured and semi-structured content. In both scenarios, the strategic and tactical plan are based on the deployment of Concept Searching’s Intelligent Solutions for the Enterprise.

    • Assist in compliance and governance through elimination of end user tagging and use of conceptTaxonomyWorkflow for notification of exceptions
    • Define your own rules for confidential information consisting of descriptors and multi-word terms. Identify data privacy and confidential breaches and exposures before they happen
    • Improve eDiscovery, litigation support and FOIA through the identification of relevant content, regardless of the style of search or the search term used
    • Provide intelligent migration to align business content, remove duplicates, identify content for deletion or archive, after the migration provides a comprehensive content management system that provides a holistic view of information regardless of where it resides
    • Facilitate records management, to automatically add descriptors and multi-term verbiage to the taxonomy, eliminates end user tagging, and can be performed in-place or automatically routed to the records management repository
    • Enable semantic search integrated with any search engine
    • Use content optimization to automatically dedupe content, identify copies and versions, content that has been unused, enabling the elimination or archiving of documents
    • Implement secure collaboration and share information at the context level of a document to internal and external stakeholders
    • Eliminate content noise, and reduce the data set for text analytics
    • Use the platforms as a tool if going through a merger or acquisition to cut costs, merge information, and perform lifecycle management on the remaining document
    • Build an Enterprise Metadata Repository that is the fundamental component in the information governance strategy that enables the reuse of semantic metadata across the enterprise