Patent ID: 8548988
Filing Date: 2013-10-01
Classification: G06F

Abstract:
1. A computer-implemented method for the comparison of two educational institutions, an educational institute 1 and an educational institute 2 , using a university 1 university model graph database comprising a university model graph 1 , wherein said university 1 university model graph database denotes the data associated with said educational institute 1 and a university 2 university model graph database comprising a university model graph 2 , wherein said university 2 university model graph database denotes the data associated with said educational institute 2 to generate a comparison result, wherein said university a plurality of 1 entity-instances comprising a university a vice-chancellor a plurality of 1 divisions, wherein each of said plurality of 1 divisions is an instance of said Division entity, a plurality of 1 capital-assets, wherein each of said plurality of 1 capital-assets is an instance of said Capital-Asset entity, a plurality of 1 admission-units, wherein each of said plurality of 1 admission-units is an instance of said Admission-Unit entity, a plurality of 1 departments, wherein each of said plurality of 1 departments is an instance of said Department entity, a plurality of 1 chair-persons, wherein each of said plurality of 1 chair-persons is an instance of said Chair-Person entity, a plurality of 1 faculty-members, wherein each of said plurality of 1 faculty-members is an instance of said Faculty-Member entity, a plurality of 1 students, wherein each of said plurality of 1 students is an instance of said Student entity, a plurality of 1 research-students, wherein each of said plurality of 1 research-students is an instance of said Research-Student entity, a plurality of 1 course-students, wherein each of said plurality of 1 course-students is an instance of said Course-Student entity, a plurality of 1 principle-investigators, wherein each of said plurality of 1 principle-investigators is an instance of said Principle-Investigator entity, a plurality of 1 laboratories, wherein each of said plurality of 1 laboratories is an instance of said Laboratory entity, a plurality of 1 equipments, wherein each of said plurality of 1 equipments is an instance of said Equipment entity, a plurality of 1 staffs, wherein each of said plurality of 1 staffs is an instance of said Staff entity, a plurality of 1 libraries, wherein each of said plurality of 1 libraries is an instance of said Library entity, a plurality of 1 department-libraries, wherein each of said plurality of 1 department-libraries is an instance said of Department-Library entity, a plurality of 1 books, wherein each of said plurality of 1 books is an instance of said Book entity, a plurality of 1 e-books, wherein each of said plurality of 1 e-books is an instance of said E-Book entity, and a plurality of 1 magazines, wherein each of said plurality of 1 magazines is an instance of said Magazine entity, said university model graph 1 comprising a plurality of 1 base scores, wherein each of said plurality of 1 base scores is a value between 0 and 1, a plurality of 1 influence values, wherein each of said plurality of 1 influence values is a value between −1 and +1, a plurality of 1 abstract nodes, a plurality of 1 nodes, a plurality of 1 abstract edges, a plurality of 1 semi-abstract edges, and a plurality of 1 edges, with each abstract node of said plurality of 1 abstract nodes corresponding to an entity of said plurality of 1 entities, wherein an abstract node of said plurality of 1 abstract nodes corresponds to said Student entity, each node of said plurality of 1 nodes corresponding to an entity-instance of said plurality of 1 entity-instances and a base score of said plurality of 1 base scores, wherein a node of said plurality of 1 corresponds to a student of said plurality of 1 students and a base score a source abstract node of said plurality of 1 abstract nodes is connected to a destination abstract node of said plurality of 1 abstract nodes by a directed abstract edge of said plurality of 1 abstract edges and said directed abstract edge is associated with an entity influence value of said plurality of 1 influence values, a source node of said plurality of 1 nodes is connected to a destination node of said plurality of 1 nodes by a directed edge of said plurality of 1 edges and said directed edge is associated with an influence value of said plurality a source node of said plurality of 1 nodes is connected to a destination abstract node of said plurality of 1 abstract nodes by a directed semi-abstract edge of said plurality of 1 semi-abstract edges and said directed semi-abstract edge is associated with an entity-instance-entity-influence value of said plurality a source abstract node of said plurality of 1 abstract nodes is connected to a destination node of said plurality of 1 nodes by a directed semi-abstract edge of said plurality of 1 semi-abstract edges and said directed semi-abstract edge is associated with an entity-entity-instance-influence value of said plurality said university a plurality of 2 entity-instances comprising a university a vice-chancellor a plurality of 2 divisions, wherein each of said plurality of 2 divisions is an instance of said Division entity, a plurality of 2 capital-assets, wherein each of said plurality of 2 capital-assets is an instance of said Capital-Asset entity, a plurality of 2 admission-units, wherein each of said plurality of 2 admission-units is an instance of said Admission-Unit entity, a plurality of 2 departments, wherein each of said plurality of 2 departments is an instance of said Department entity, a plurality of 2 chair-persons, wherein each of said plurality of 2 chair-persons is an instance of said Chair-Person entity, a plurality of 2 faculty-members, wherein each of said plurality of 2 faculty-members is an instance of said Faculty-Member entity, a plurality of 2 students, wherein each of said plurality of 2 students is an instance of said Student entity, a plurality of 2 research-students, wherein each of said plurality of 2 research-students is an instance of said Research-Student entity, a plurality of 2 course-students, wherein each of said plurality of 2 course-students is an instance of said Course-Student entity, a plurality of 2 principle-investigators, wherein each of said plurality of 2 principle-investigators is an instance of said Principle-Investigator entity, a plurality of 2 laboratories, wherein each of said plurality of 2 laboratories is an instance of said Laboratory entity, a plurality of 2 equipments, wherein each of said plurality of 2 equipments is an instance of said Equipment entity, a plurality of 2 staffs, wherein each of said plurality of 2 staffs is an instance of said Staff entity, a plurality of 2 libraries, wherein each of said plurality of 2 libraries is an instance of said Library entity, a plurality of 2 department-libraries, wherein each of said plurality of 2 department-libraries is an instance said of Department-Library entity, a plurality of 2 books, wherein each of said plurality of 2 books is an instance of said Book entity, a plurality of 1 e-books, wherein each of said plurality of 1 e-books is an instance of said E-Book entity, and a plurality of 2 magazines, wherein each of said plurality of 2 magazines is an instance of said Magazine entity, said university model graph wherein each of said plurality of 1 influence values is a value between −1 and +1, a plurality of 2 abstract nodes, a plurality of 2 nodes, a plurality of 2 abstract edges, a plurality of 2 semi-abstract edges, and a plurality of 2 edges, with each abstract node of said plurality of 2 abstract nodes corresponding to an entity of said plurality of 2 entities, wherein an abstract node of said plurality of 2 abstract nodes corresponds to said Student entity, each node of said plurality of 2 nodes corresponding to an entity-instance of said plurality of 2 entity-instances and a base score of said plurality of 2 base scores, wherein a node of said plurality of 1 corresponds to a student of said plurality of 2 students and a base score a source abstract node of said plurality of 2 abstract nodes is connected to a destination abstract node of said plurality of 2 abstract nodes by a directed abstract edge of said plurality of 2 abstract edges and said directed abstract edge is associated with an entity influence value of said plurality of 2 influence values, a source node of said plurality of 2 nodes is connected to a destination node of said plurality of 2 nodes by a directed edge of said plurality of 2 edges and said directed edge is associated with an influence value of said plurality a source node of said plurality of 2 nodes is connected to a destination abstract node of said plurality of 2 abstract nodes by a directed semi-abstract edge of said plurality of 2 semi-abstract edges and said directed semi-abstract edge is associated with an entity-instance-entity-influence value of said plurality a source abstract node of said plurality of 2 abstract nodes is connected to a destination node of said plurality of 2 nodes by a directed semi-abstract edge of said plurality of 2 semi-abstract edges and said directed semi-abstract edge is associated with an entity-entity-instance-influence value of said plurality said method performed on a computer system comprising at least one processor, said method comprising the steps of: comparing, with at least one processor, said university determining, with at least one processor, said Student entity of said plurality of 1 entities; comparing, with at least one processor, said university determining, with at least one processor, a student 1 of said university model graph 1 based on said plurality of 1 students; determining, with at least one processor, a student comparing, with at least one processor, said student determining, with at least one processor, a plurality of 3 entities based on said plurality of 1 entities, wherein said plurality of 3 entities comprises of said Student entity and said Library entity; determining, with at least one processor, a plurality of 3 entity-instances based on said plurality of 1 entity-instances, wherein said plurality of 3 entity-instances comprises a plurality of 13 students of said plurality of 1 students and a plurality of 13 libraries of said plurality of 1 libraries; determining, with at least one processor, a plurality of 4 entities based on said plurality of 2 entities, wherein said plurality of 4 entities comprises of said Student entity and said Library entity; determining, with at least one processor, a plurality of 4 entity-instances based on said plurality of 2 entity-instances, wherein said plurality of 4 entity-instances comprises a plurality of 24 students of said plurality of 2 students and a plurality of 24 libraries of said plurality of 2 libraries; comparing, with at least one processor, said plurality of 3 entities, said plurality of 3 entity-instances, said plurality of 4 entities, and said plurality of 4 entity-instances using said university model graph determining, with at least one processor, said plurality of 1 base scores associated with said university model graph determining, with at least one processor, said plurality of 2 base scores associated with said university model graph comparing, with at least one processor, said plurality of 1 base scores and said plurality of 2 base scores to generate said comparison result; determining, with at least one processor, said plurality of 1 influence values associated with said university model graph determining, with at least one processor, of said plurality of 2 influence values associated with said university model graph comparing, with at least one processor, said plurality of 1 influence values and said plurality of 2 influence values to generate said comparison result.