Methods to Assess Technology Insertion Impact and Optimized Manning
ABSTRACT: The Semantic Search Technology (SST) will provide the Air Force Research Lab (AFRL) with the ability to rapidly discover related projects, personnel, and data. Project managers and business developers in large organizations, such as AFRL, need to quickly identify and rank the most relevant business data, scientific data, and image metadata, while also having the flexibility to direct the searching and ranking through user-defined criteria. Existing search mechanisms based on keyword indexing is ineffective at ranking relevance and inefficient when applied to the volume of data in the AFRL/RYA electronic Body of Knowledge (eBoK). SST will be based on a novel semantics-based search mechanism that overlays data stored in structured and unstructured formats onto a well-defined ontology that ties together concepts and specific instances, exposing find higher order relationships among diverse data. SST will facilitate reuse and collaboration by providing users with search results that are more relevant and include deeper relationships. BENEFIT: The need for SST capability has become apparent through AFRL"s focus on investment management, knowledge management, and program portfolio management. Each facility within AFRL has taken a different approach to storing and sharing its intellectual capital (IC) - the studies, findings, data, reports, articles, and research summaries created during the research and development process. To optimize these investments, AFRL requires a search and index capability that goes beyond keyword search to provide context and relevance to search results. The Simulex SST technology provides such capability.
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