Syntactic graph modeling in a functional information system

• US 9,910,910 B2
• Filed: 12/13/2015
• Issued: 03/06/2018
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Locus LP
• Original Assignee: Locus LP
• Inventors: Riggs, Rory, Chandler, Jonathan, Featherly-Bean, Winston, Fifield, James, Fuller, Adelaide, Goldman, Daniel, Remmel, Harmon Martin Towson
• Primary Examiner(s): Casanova, Jorge A
• Application Number:
  US14/967,313
• Publication Number:
  US 20160098445A1
• Time in Patent Office: 814 Days
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/21 Design, administration or maintenance of databases
• CPC Class Codes: G06F 16/2291 User-Defined Types; Storage management thereof
• CPC Class Codes: G06F 16/2358 Change logging, detection, and notification replication G06F16/27
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/2379 Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/282 Hierarchical databases, e.g. IMS, LDAP data stores or Lotus Notes
• CPC Class Codes: G06F 16/283 Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9554 by using bar codes
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

The invention relates to systems and methods using a logical data model for aggregating data entities in a functional information system supported upon a computing platform, and also for providing systems and methods for analyzing economic information using a functional coordinate system.

Claims

1. An algorithmic method for representing interactions in a representation of a system in n-dimensional space the method comprising:

generating and electronically storing a database system comprising a logical data model having a data structure representing an organization of nodes for aggregating data entities and aggregating attributes of the data entities in a functional information system, the data entities representing elements of the functional system as a network of heterogeneous components,

wherein the functional information system represents a group of elements subdivided into ordered sets of fields, a plurality of which have a defined logical data model with respect to values that are used to characterize a plurality of elements;

electronically storing a set of data entities as nodes in the logical data model, the data entities corresponding to elements of the functional system;

electronically assigning tags representing functional attributes of the elements to the set of data entities, wherein the functional attributes are properties of the elements of the functional system and wherein the tags comprise standardized values represented as reference points in an n-dimensional space;

wherein the reference points in the n-dimensional space comprise coordinate identifiers for the locations of elements in the functional information system representing at least one function of the set of data entities;

electronically storing the functional attributes in the logical data model as represented in n-dimensional space;

electronically traversing the database to connect two or more reference points in the n-dimensional space, thereby representing a relationship between the data entities such that functional interactions of a plurality of elements of the functional system are identified with respect to a plurality of other elements of the functional system;

presenting a connection based on the functional attributes or the functional interactions, wherein an acceptance of the connection increases a weight of a similar connection between the nodes and a rejection of the connection decreases a weight of a similar connection between the nodes in the logical data model representation of the functional system; and

receiving and storing an update to a data entity in the database system that corresponds to a change in the functional system, the update based on a functional interaction associated with at least one location in n-dimensional space.

2. The method of claim 1, further comprising electronically storing a computerized representation of a functional system syntax, wherein the functional system syntax can be applied by a computer processor to establish the validity of expressions of elements of the functional system based on one or more of the functional attributes of elements of the system.

3. The method of claim 2, wherein an expression comprises two reference points and a connection between the reference points.

4. The method of claim 1, wherein the interactions transform inputs to outputs.

5. The method of claim 1, wherein the database represents an arbitrary number of reference points and connections.

6. The method of claim 1, further comprising:

ordering the two or more reference points by the functional similarity of the reference points with respect to a third reference point.

7. The method of claim 6, wherein the functional similarity of the reference points is ordered based on the relative locations of the reference points in n-dimensional space.

8. The method of claim 6, wherein functionally similar reference points in n-dimensional space have more common functional attributes than a plurality of an arbitrarily large set of random pairs of reference points.

9. The method of claim 1, wherein the functional system is organic, mechanical, or chemical.

10. The method of claim 9, wherein the elements comprise genes, cells, organelles, proteins, or nucleotides.

11. The method of claim 1, further comprising:

constructing a visual representation of the n-dimensional space; and

displaying one or more reference points based on functional attributes, tags, or interactions in the functional system.

12. The method of claim 11, further comprising:

electronically traversing the n-dimensional space to retrieve a result regarding an element of the functional system; and

displaying the visual representation of the n-dimensional space comprising the result.

13. The method of claim 1, further comprising:

identifying the coordinates inn dimensions of two or more reference points in the n-dimensional space; and

traversing the database to assign weights to the two or more reference points, or to the elements represented by the reference points.

14. The method of claim 13, further comprising:

selecting one or more dimensions from the n-dimensional space to create a subset of the space; and

electronically calculating a similarity metric on the subset.

15. The method claim 13, further comprising:

adding one or more dimensions to the n-dimensional space to create a superset of the space; and

electronically calculating a similarity metric on the superset.

16. The method of claim 1, further comprising

electronically representing a user as an element of the functional system;

wherein the acceptance of the connection by the user increases a frequency of a similar connection in the representation of the functional system based on the weight of the connection; and

the rejection of the connection by the user decreases a frequency of a similar connection in the representation of the functional system based on the weight of the connection.

17. The method of claim 1, further comprising:

receiving a query from a user, wherein the query corresponds to an attribute of the functional system;

traversing the database to identify a data entity associated with the attribute and having at least one location in n-dimensional space; and

displaying a visual representation of the identified data entity in the n-dimensional space.

18. The method of claim 17, wherein the results are provided in syntactic, symbolic or graphical form.

19. The method of claim 18, wherein a top-level domain represents the functional system, and a plurality of subdomains represent a plurality of the elements.

20. The method of claim 17, further comprising suggesting an element to a user based on functional supply of an input or functional demand of an output.

21. The method of claim 1, wherein the data entities represent semantic units corresponding to elements of the functional system, further comprising:

electronically assigning tags representing syntactic categories to a plurality of semantic units;

selecting a first syntactic category; and

electronically assigning tags representing syntactic category stages to a plurality of semantic units in the first syntactic category.

22. The method of claim 21, further comprising:

selecting a second syntactic category;

electronically assigning tags representing syntactic category stages to a plurality of semantic units in the second syntactic category;

wherein the syntactic categories and category stages comprise a stratified syntactic architecture; and

wherein the database electronically represents the stratified syntactic architecture, thereby enabling a computer processor to group the units based on their syntactic relationships.

23. The method of claim 1, further comprising normalizing the distribution of a value associated with elements of the functional system, as determined by a computational test.

24. The method of claim 1, wherein a reference point comprises a locus.

25. The method of claim 1, further comprising:

dividing the functional system into two or more subsystems; and

representing the two or more subsystems by two or more n-dimensional spaces.

26. The method of claim 1, further comprising:

referencing semantic meaning of elements based on the locations of data entities in the n-dimensional space; and

comparing data entities along a plurality of dimensions of the n-dimensional space.

27. The method of claim 1, further comprising:

electronically representing a user as an element of the functional system;

wherein the acceptance of the connection by the user strengthens the functional interaction in the representation of the functional system based on the weight of the connection; and

the rejection of the connection by the user weakens the functional interaction in the representation of the functional system based on the weight of the connection.

29. The system of claim 27, wherein the processor is further configured for electronically storing a computerized representation of a functional system syntax, wherein the functional system syntax can be applied by a computer processor to establish the validity of expressions of elements of the functional system based on one or more of the functional attributes of elements of the system.

30. The system of claim 29, wherein an expression comprises two reference points and a connection between the reference points.

31. The method of claim 27, wherein the interactions transform inputs to outputs.

32. The system of claim 27, wherein the processor is further configured for ordering the two or more reference points by the functional similarity of the reference points with respect to a third reference point.

33. The system of claim 32, wherein the functional similarity of the reference points is ordered based on the relative locations of the reference points in n-dimensional space.

34. The system of claim 32, wherein functionally similar reference points in n-dimensional space have more common functional attributes than a plurality of an arbitrarily large set of random pairs of reference points.

28. An algorithmic system for representing interactions in a representation of a system in n-dimensional space the system comprising:

an electronic data store configured for;

generating and electronically storing a database system comprising a logical data model having a data structure representing an organization of nodes for aggregating data entities and aggregating attributes of the data entities in a functional information system, the data entities representing elements of the functional system as a network of heterogeneous components,

wherein the functional information system represents a group of elements subdivided into ordered sets of fields, a plurality of which have a defined logical data model with respect to values that are used to characterize a plurality of elements;

electronically storing a set of data entities as nodes in the logical data model, the data entities corresponding to elements of the functional system;

electronically storing the functional attributes in the logical data model as represented in n-dimensional space; and

receiving and storing an update to a data entity in the database system that corresponds to a change in the functional system, the update based on a functional interaction associated with at least one location in n-dimensional space; and

a computerized processor configured for;

electronically assigning tags representing functional attributes of the elements to the set of data entities, wherein the functional attributes are properties of the elements of the functional system and wherein the tags comprise standardized values represented as reference points in an n-dimensional space,

wherein the reference points in the n-dimensional space comprise coordinate identifiers for the locations of elements in the functional information system representing at least one function of the set of data entities; and

electronically traversing the database to connect two or more reference points in the n-dimensional space, thereby representing a relationship between the data entities such that the functional interactions of a plurality of elements of the functional system are identified with respect to a plurality of other elements of the functional system; and

presenting a connection based on the functional attributes or the functional interactions, wherein an acceptance of the connection increases a weight of a similar connection between the nodes and a rejection of the connection decreases a weight of a similar connection between the nodes in the logical data model representation of the functional system.

35. The system of claim 28, further comprising:

electronically representing a user as an element of the functional system;

wherein the acceptance of the connection by the user increases a frequency of a similar connection in the representation of the functional system based on the weight of the connection; and

the rejection of the connection by the user decreases a frequency of a similar connection in the representation of the functional system based on the weight of the connection.