发明名称 Employing Associative Memory for Enhanced Lifecycle Management
摘要 A non-conformance analysis system may have an associative memory subsystem populated with information involving a plurality of entities defining different attributes of a component, with each entity being categorized under a user defined entity type, the entities and entity types forming an associative memory. A user input device may be used for enabling a user to input a query concerning the component, and to obtain information useful for managing a lifecycle of said component. An associative memory entity analytics engine in communication with the associative memory subsystem, and responsive to said user input device, searches the associative memory using the information provided in the query to retrieve entities helpful to the user in assessing the lifecycle of the component.
申请公布号 US2017109428(A1) 申请公布日期 2017.04.20
申请号 US201615365370 申请日期 2016.11.30
申请人 The Boeing Company 发明人 Quadracci Leonard J.;Warn Brian
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A non-conformance analysis system, comprising: an associative memory subsystem having an associative learning memory populated with information involving a plurality of entities defining different attributes of a component, with each said entity being categorized under a user defined entity type, the entities and entity types being stored in said associative learning memory; a user input device for enabling a user to input a free text query including at least one of words and numbers, concerning said component to obtain information useful for managing a lifecycle of said component; an associative memory entity analytics engine in communication with said associative memory subsystem, and responsive to said user input device, said associative memory analytics engine including query software that uses the query provided by the user to perform a plurality of searches of said associative learning memory to retrieve entities helpful to the user in assessing said lifecycle of said component; said associative memory entity analytics engine further using information input by said user relating to results of said query to update existing ones of said entities, and to create new entities when needed, in said associative learning memory; and said associative memory entity analytics engine further providing a correlation value for each said entity type returned from said searches to indicate how well each said entity type correlates to said query input by said user, relative to other ones of said entity types returned from said searches, to enable a user to gauge which ones of each of said returned entity types are more relevant than other ones of said returned entity types.
地址 Chicago IL US