▎ 摘　　要

NOVELTY - The method involves embedding identified predicates and associated units into a vector space for completing knowledge grapheme. The predicates and the associated units are embed in assigned vectors (120) for summing punishing function values for the predicates and associated units, where the punishing function values are proportional to preset values between the assigned vectors. Weights of the predicates and the associated units are determined according to correlation degree between the predicates, which are identified. USE - Method for completing knowledge graphene from predicates and associated units. ADVANTAGE - The method enables embedding the identified predicates and the associated units into the vector space so as to perform labor intensive process, thus ensuring completion of the knowledge graphene. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are also included for the following: (1) a device for completing knowledge graphene from predicates and associated units (2) a computer program comprising set of instructions to execute a method for completing knowledge graphene from predicates and associated units (3) a non-volatile machine-readable medium for storing program to execute a method for completing knowledge graphene from predicates and associated units. DESCRIPTION OF DRAWING(S) - The drawing shows a graphical view illustrating a method for completing knowledge graphene from predicates and associated units. '(Drawing includes non-English language text)' Assigned vectors (120)