Challenges abound in developing a comprehensive and sustainable Records Management solution. Stakeholders at all levels of the organization must actively participate and the end result should be a solution that is as transparent as possible, integrating into the organizational workflow and easily adapted to by end users. CDI’s innovative tools can be used to improve Records Management initiatives through the identification of concepts and the generation of compound term metadata within unstructured information. Once identified these terms are used to automatically classify and apply record policies.
Automatic metadata generation enables an organization to extract compound terms, acronyms, and keywords from a document and corpus of documents that are highly correlated to a particular concept or Meta Tag. Automatically identifying the most significant patterns in any text, CDI uses these compound terms to generate metadata based on an understanding of conceptual meaning. When these compound terms, acronyms, and keywords are prevalent within a particular document that document is automatically “meta-tagged” eliminating the requirement for an individual to read that document and subjectively apply metadata to the properties of a document.
Watch the following video to see how this solution is implemented to enforce Records Management and Rights Managment Policies in SharePoint 2010 through the use a taxonomy to automatically tag documents for effective enforcement of document policies. An explanation and demonstration of the solution is also presented.
CDI offers the solution to make relevant information available to the end user and potential partners efficient, consistent, manageable and scalable. Enabling search to ‘just happen’ enhances “findability” with automatic semantic metadata generation, classification and taxonomy management solutions. This solution goes beyond the search capability provided by SharePoint.
The taxonomy management technology contains robust features to manage and maintain multiple taxonomies. Features include node weighting, the ability to see “concepts in context”, ability to search the corpus, auto clue suggestion, instant feedback, and supports both automatic and manual classification.