Optimizing Historical Knowledge Retrieval: Extracting Knowledge by Making Connections

The Challenge From POC to Production A Federally Funded Research and Development Center (FFRDC) faced significant challenges with low-quality or incomplete metadata for managing and cataloging scientific reports, hindering researchers’ ability to parse repositories and efficiently discover relevant content. As detailed in a previous case study, Optimizing Historical Knowledge Retrieval: Standardizing Metadata for Enhanced Research Access, Enterprise Knowledge (EK) partnered with the organization to improve the findability of these valuable research materials. EK employed complementary approaches to clean and enrich the content metadata and developed a proof-of-concept (POC) application to automatically classify documents with “about-ness” concept tags (auto-tags) from established taxonomies. The delivered POC is capable of processing batches of local files and returning a set of auto-tags for each document.  Following the successful demonstration of the POC, EK was engaged to advance the solution to a production release.