Method and System of Extracting Patent Features for Comparison and to Determine Similarities, novelty and Obviousness

• US 20150178272A1
• Filed: 12/19/2014
• Published: 06/25/2015
• Est. Priority Date: 12/19/2013
• Status: Active Grant

• Current Assignee: Arturo Geigel
• Original Assignee: Arturo Geigel
• Inventors: Geigel, Arturo
• Granted Patent: US 9,984,066 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

An automated system that extract relevant structural and functional features from a patent document and carries out operations on patent documents to determine degree of overlap. The degree of overlap can then be used by the system to determine novelty and obviousness of a patent document.

Claims

1. A computer representations of structural and functional elements in patent documents represented by the representation of a graph composed of nodes and links through a method comprising of:

a searchable invention document comprising a body, wherein said body comprises a body narrative;

selecting a searchable document, wherein said document comprises at least a claim, wherein said claim comprises a claim preamble and a claim narrative;

a first set of instruction for parsing of the body, wherein said first set of instructions comprises the extraction of a plurality of element from said body narrative, wherein each element of said plurality element is identified as node for said body;

a second set of instruction for parsing of the body, wherein said second set of instructions extracts the links between the plurality of elements;

a third set of instruction for parsing the claim narrative to obtain the preamble from the claim narrative using match phrases;

a fourth set of instruction for parsing the claim narrative to obtain claim nodes using match phrases; and

a fifth set of instruction for classifying each of the claims nodes and nodes in a first group and a second group; and

wherein said group is structural elements and the second group is functional elements.

2. The method according to claim 1, comprising:

wherein the structural element is classify by semantic relationships.

3. A computer representations of structural and functional elements in patent documents represented by the representation of a graph composed of nodes and links through a method comprising of:

a parsing of the body that extracts numbered elements that are identified as nodes of the narrative of the preferred embodiment;

a parsing of the body that extracts the links between the numbered elements of the narrative of the preferred embodiment;

a parser of the claims to obtain the preamble from the body of the claim narrative using match phrases or words in the claims narrative;

a parser of the claims to obtain the nodes of the narrative of the claims using match phrases or words in the claims narrative;

performing the process of determining whether it is a structural element by the use of edges that correspond to parts of speech that describe placement of the nodes within the described invention;

performing the process of determining whether it is a functional element by the use of edges that correspond to parts of speech that describe the functioning of the nodes within the described invention;

4. The method of generating the structural and functional elements in patent documents according to claim 3, further comprising:

semantic relationships by exploiting the semi structured elements of the patent document to determine structural elements by parsing the body of the patent by searching descriptive elements within the narrative to form the nodes of the graph that are stored in an adjacency matrix or adjacency lists.

5. The method of generating the structural and functional elements in patent documents according to claim 3, further comprising:

semantic relationships by exploiting the semi structured elements of the patent document to determine structural elements by parsing the body of the patent by searching descriptive elements within the narrative to form the edges of the graph that are stored in an adjacency matrix or adjacency lists.

6. The method of generating the structural and functional elements in patent documents according to claim 3, further comprising:

of parsing the document using parsing techniques to determine standard sections of the patent header information background of the invention, brief description of drawings, detailed description, and a claims section as well as non standard sections of the document using previous patent patterns encoded into the parsing of the patent document

7. The method for the generation of the graphs according to claims 4, further comprising:

parsing the sections of the patent document to determine the boundaries of the paragraph, phrases and individual words by exploiting structural elements in the form of keywords and format of the patent

8. The method for the generation of the graphs according to claims 4, further comprising:

part of speech tagging will help in facilitating subsequent stages of the process. The elimination of stop words consist of doing syntax and semantic analysis of the content of the sentences.

9. The method for the generation of the graphs according to claim 4, further comprising:

The patent element type described by a node is identified by node ID that uniquely determines that node belongs to a particular part of speech tag using a database entry

10. The method for the generation of the graphs according to claim 5, further comprising:

The relationship type described by edge is identified by link type ID that uniquely determines that edge belongs to a particular part of speech tag using a database entry

11. The method for the generation of the graphs according to claims 4 and 5, further comprising:

the node and edge description that forms a semantic network description of relationship

12. The method for the generation of the graphs according to claim 10, further comprising:

an edge weight score that can be used to describe the strength of the relationship in a semantic network construction for the patent document.

13. The method for the generation of the graphs according to claim 9, further comprising:

The adjacency matrix that has nodes as rows and column labels and edges as entries into the adjacency matrix which can be mapped to an adjacency list.

14. The method for the generation of the graphs according to claim 13, further comprising:

the steps of the process to determine the novelty of a patent submission against a selection of prior art by constructing a graph for the prior art as well as the patent submission

15. The method for the generation of the graphs according to claim 14, further comprising:

The graph of the set of patents closest to the submitted application used as prior art based on a frequency count of common elements that form the columns and rows of the adjacency matrix.

16. The method for the generation of the graphs according to claim 14, further comprising:

based solely on the connection type frequency in the adjacency matrix.

17. The method for the generation of the graphs according to claim 14, further comprising:

the selection of the highest link weight score on the adjacency matrix

18. The method for the generation of the graphs according to claim 14, further comprising:

mixture of the previous embodiments with other relevant measures of commonality such as centrality, path, connectedness, other structural graph description measure.

19. The method for the generation of the graphs according to claims 4 and 5, further comprising:

a method of constructing a sub graph of claims for the selected set of patents and the patent submission that determines the difference in elements of the selected patents vs the patent application.

20. The method for the generation of the graphs according to claim 19, further comprising:

analysis of the differences between the sub graphs of the selected patents and the patent applications to determine structural and functional form differences between them using node matching, node reachability, node reachability score, path length description ,path length weight, path length characteristics, connectedness of the sub graphs or complete graphs

21. A method for deriving a way to determine relative closeness of a patent, patent submission, or existing product against the previous art in the form of structural and functional elements of other existing patent narratives that conform to a given structure of the existing previous art comprising of:

performing the process on both nodes and edges to determine degree of overlap between patent submission and existing patent documents.