The rate at which technology advancements are made means that government organizations that lack the agility to embrace the advances at an equal rate are being left behind. The explosion of unstructured content will continue unabated, presenting new challenges to government, which is attempting to analyze, assimilate, and use the information. For most, knowledge management is unachievable due to technology constraints. The accumulation of vital and valuable content assets can’t be used and re-purposed because they can’t be found, having a profound impact on decision making, and the mission.
The Concept Searching Difference
Organize content based on meaning
Easily managed tools to develop taxonomies on-the-fly
Retrieve content based on expertise, historical and current information
One of the goals of a net-centric environment is to share information. Without relevant information, knowledgeable, global decisions are unlikely. Concept Searching eliminates end user tagging and automatically generates compound term metadata, or concepts. Content is transformed into a knowledge asset as data that can be trusted, reliable, and is correct. Using this approach, knowledge workers can locate pertinent information from his or her own individual viewpoint without knowing the exact search terms to use.