Abstract
AbstractA computer‐automated method using semantic web algorithms is described that ranks the best systems engineering work products on websites and corporate repositories. The process is both server‐based and PC‐based to automate the capture and ranking of knowledge from industry experts within The Aerospace Corporation. A virtual Process Assets Library system (vPALs) economically collects and self‐organizes documents through long lists of phrases (phrase vectors) using next‐generation web engines. Ranking documents implements scoring algorithms with phrase vectors in the development of 1‐D, 2‐D, and 3‐D self‐organizing maps (SOMs). vPALs is being deployed in 1) real‐time decision making during launch vehicle systems testing and day‐of‐launch at Cape Canaveral and Vandenberg, 2) proposal technical evaluations, 3) data mining and maintenance of corporate document repositories, 4) formal design reviews with customers, and 5) web‐based systems and software engineering books of knowledge. Nine websites are used in this paper to rank order the most relevant documents related to SE workproducts: NASA‐PBMA FAA‐ASD, FAA‐IPG, SEI, SEPO‐SPAWAR, SMC, DAU, STC and Aerospace's AeroLink corporate document repository.
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