Rationale: Within the aerospace community, large amounts of aircraft documents and information in various forms is available across the aircraft life cycle from birth to disposal. This information is available in various forms of data from text data to documents to images to CAD files etc. For a single commercial aircraft, these documents span across multiple decades. This information needs to be mined, analyzed and utilized to build better design of components, subsystems, systems and aircraft. It is essential to retrieve the knowledge data from these documents and use it to learn from our past, to make better decisions in the present for the better future.
Currently few standards are available for long term archiving and retrieval of technical product documentation (EN 9300) and digital certificate of conformity (DIN SPEC 9012). However, there is a need to elicit considerations and guidelines to extract knowledge from long term archival data. Digital technologies like blockchain, big data, cloud and AI have matured and are being widely used to improve efficiencies and reduce cost of operations across the value chain. This aerospace information report (AIR) helps to provide considerations and guidelines to extract knowledge from long term archival data.
