Information management system

• US 9,152,632 B2
• Filed: 01/26/2012
• Issued: 10/06/2015
• Est. Priority Date: 08/27/2008
• Status: Active Grant

• Current Assignee: Revvity Signals Software Incorporated
• Original Assignee: PerkinElmer Informatics, Inc. (Revvity, Inc.)
• Inventors: Smith, Robin Young, Ballard, William Brian
• Primary Examiner(s): Mahmoudi, Tony
• Assistant Examiner(s): NGUYEN, MERILYN P
• Application Number:
  US13/359,446
• Publication Number:
  US 20120296901A1
• Time in Patent Office: 1,349 Days
• Field of Search: 707/755, 707/756, 707/758, 707/778, 707/792, 707/797, 707/798, 707/803, 707/805, 707/809
• US Class Current: 1/1
• CPC Class Codes: G06F 16/152 using file content signatures, e.g. hash values
• CPC Class Codes: G06F 16/20 of structured data, e.g. relational data
• CPC Class Codes: G06F 16/25 Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06F 16/256 in federated or virtual databases
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 40/157 using dictionaries or tables
• CPC Class Codes: G06F 40/205 Parsing

Abstract

An information management system creates data structures based entirely on the content of source files, then compares these data structures to discover synergies and commonalities. In one embodiment, the system accepts a first collection of source files, and extracts text from each source file. The text is compared to tags in one or more dictionaries, which comprise hierarchical listing of tags. Tags matching the text are associated with each source file. The system then generates a virtual relational network in which each source file having matching tags is a node. Tags associated with two or more source files are links between the nodes. This virtual relational network may be compared with another virtual relational network to discover common nodes or links. Source files later added to a collection are massively linked by associating all tags from all source files with the newly added source file, and vice versa.

Claims

1. A method of operating an information management system, comprising:

for each source file in a first collection of source files;

parsing, by a processor of a computing device, the respective source file to extract one or more chemical structures,

comparing, by the processor, the one or more chemical structures to chemical structures stored in at least one dictionary, wherein

each dictionary of the at least one dictionary comprises a hierarchical listing of chemical structures, and

comparing comprises identifying one or more matching chemical structures, and

associating, by the processor, with the respective source file, the one or more matching chemical structures;

generating, by the processor, a first virtual relational network comprising the source files in the first collection, wherein the first virtual relational network comprises;

one or more nodes, wherein each node represents a particular matching chemical structure of the one or more matching chemical structures associated with a particular source file of the source files in the first collection, and

one or more links, wherein each link represents a connection between a pair of nodes, wherein each node of the pair of nodes is associated with a common chemical structure; and

comparing, by the processor, the first virtual relational network to a second virtual relational network, wherein comparing comprises identifying at least one of a) one or more nodes and b) one or more links common to both the first virtual relational network and the second virtual relational network, wherein

the second virtual relational network is created from a second collection of source files different than the first collection of source files; and

the first virtual relational network and the second virtual relational network share at least one common dictionary, wherein

the at least one dictionary comprises the at least one common dictionary.

2. The method of claim 1, wherein the chemical structures are contained within embedded objects.

3. The method of claim 1, wherein parsing the respective source file to extract the one or more chemical structures comprises:

identifying a source file type; and

inputting the respective source file to a software module that recognizes the source file type.

4. The method of claim 1, wherein associating the one or more matching chemical structures comprises, for each dictionary of the at least one dictionary, associating the one or more matching chemical structures from the respective dictionary with the respective source file as a separate set of chemical structures.

5. The method of claim 1, further comprising, for each source file in the collection, transforming the respective source file to a respective archive file of a common file type.

6. The method of claim 5, wherein the common file type is a text-readable Portable Document Format (PDF).

7. The method of claim 1, further comprising, after generating the first virtual relational network:

adding a new source file to the first collection;

parsing the new source file to extract one or more additional chemical structures;

associating, with the new source file, the one or more additional chemical structures; and

regenerating the first virtual relational network, wherein regenerating comprises including the new source file in the first virtual network.

8. The method of claim 1, wherein associating the one or more matching chemical structures with the respective source file further comprises associating a respective hierarchical level of each chemical structure of the one or more matching chemical structures with the respective source file, wherein the respective hierarchical level relates to a hierarchical level of the respective chemical structure within a particular dictionary of the at least one dictionary in which the respective chemical structure resides.

9. The method of claim 8, wherein generating the first virtual relational network comprises generating a hierarchical network corresponding to the hierarchical levels of the one or more matching chemical structures of each respective source file of the first collection of source files.

10. The method of claim 1, further comprising causing, by the processor, a graphic representation of at least a portion of one or more of the a) one or more nodes and b) one or more links common to both the first virtual relational network and the second virtual relational network to be displayed on a computer display.

11. The method of claim 10, wherein the graphic representation comprises a plurality of graphic links, wherein:

each graphic link of the plurality of graphic links corresponds to a respective link common to both the first virtual relational network and the second virtual relational network, and

each graphic link is configured, upon display, to visually indicate an associated dictionary of the at least one dictionary, wherein a particular matching chemical structure of the one or more matching chemical structures associated with the respective link resides within the associated dictionary.

12. The method of claim 10, wherein the graphic representation comprises a Venn diagram.

13. The method of claim 1, wherein the second collection of source files is associated with a different entity than an entity associated with the first collection of source files.

14. The method of claim 1, wherein the first collection of source files is associated with an entity at a first time, and the second collection of source files is associated with the same entity at a later time.

15. The method of claim 1, wherein each source file comprises a file type selected from the group consisting of a word processing file, a spreadsheet file, a presentation file, a Portable Document Format file, an image file, and a proprietary format file.

16. A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by a processor, cause the processor to for each source file in a first collection of source files:

parse the respective source file to extract one or more chemical structures,

compare the one or more chemical structures to chemical structures stored in at least one dictionary, wherein

comparing the one or more chemical structures comprises identifying one or more matching chemical structures, and

each dictionary of the at least one dictionary comprises a hierarchical listing of chemical structures;

associate, with the respective source file, the one or more matching chemical structures;

generate a first virtual relational network comprising the source files in the first collection, wherein the first virtual network comprises;

one or more nodes, wherein each node of the one or more nodes represents a particular matching chemical structure of the one or more matching chemical structures associated with a particular source file of the source files in the first collection, and

one or more links, wherein each link represents a connection between a pair of nodes, wherein each node of the pair of nodes is associated with a common chemical structure; and

compare the first virtual relational network to a second virtual relational network, wherein comparing comprises identifying at least one of a) one or more nodes and b) one or more links common to both the first virtual relational network and the second virtual relational network, wherein

the second virtual relational network is created from a second collection of source files different than the first collection of source files; and

the first virtual relational network and the second virtual relational network share at least one common dictionary, wherein

the at least one dictionary comprises the at least one common dictionary.

17. The computer readable medium of claim 16, wherein the one or more chemical structures are contained within embedded objects.

18. The computer readable medium of claim 16, wherein the instructions comprise at least one software module, wherein each software module of the at least one software module is configured, upon execution by the processor, to parse one or more source files in the first collection and to extract chemical structures therefrom.

19. The computer readable medium of claim 18, wherein each software module of the at least one software module is further configured, upon execution by the processor, to transform each source file of the one or more source files to a respective archive file of a respective common file type.

20. The computer readable medium of claim 16, wherein the instructions, when executed, cause the processor to:

after generating the first virtual relational network,

add a new source file to the first collection,

parse the new source file to extract one or more additional chemical structures,

associate, with the new source file, the one or more additional chemical structures, and

regenerate the first virtual relational network, wherein regenerating comprises including the new source file in the first virtual network.

21. The computer readable medium of claim 16, wherein the instructions, when executed, cause the processor to cause a graphic representation of at least a portion of one or more of the a) one or more nodes and b) one or more links common to both the first virtual relational network and the second virtual relational network to be displayed on a computer display.

22. The computer readable medium of claim 16, wherein each source file comprises a file type selected from the group consisting of a word processing file, a spreadsheet file, a presentation file, a Portable Document Format file, an image file, and a proprietary format file.