Digital credential field mapping

• US 10,803,104 B2
• Filed: 11/01/2017
• Issued: 10/13/2020
• Est. Priority Date: 11/01/2017
• Status: Active Grant

• Current Assignee: Pearson Education Incorporated (Pearson plc)
• Original Assignee: Pearson Education Incorporated (Pearson plc)
• Inventors: Corbin, II, James D., Lathrop, Quinn, Mercury, Mark, Schmidt, Jarin
• Primary Examiner(s): Pham, Khanh B
• Application Number:
  US15/801,021
• Publication Number:
  US 20190129964A1
• Time in Patent Office: 1,077 Days
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/31 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/3347 using vector based model
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates

Abstract

Techniques described herein relate to mapping of digital credential objects to various field data objects. For example, requests may be received by a digital credential platform server from digital credential template owner devices, issuer devices, and/or receiver devices. In response, the digital credential platform server may determine and transmit back mappings between the digital credentials and the selected field data objects. To generate mappings, digital credential objects may be tokenize and transformed into vectors within a multi-dimensional vector space. Individual field data objects stored within a high-performance text search engine also may be transformed into vectors within the same multi-dimensional vector space, and the distances between the vectors may be calculated to select a number of field data objects corresponding to the digital credential objects.

Claims

1. A digital credential mapping system comprising:

a digital credential platform server, comprising;

a processing unit comprising one or more processors;

one or more network interfaces configured to receive digital credential objects and transmit mapping data; and

memory coupled with and readable by the processing unit and storing therein a set of instructions which, when executed by the processing unit, causes the digital credential platform server to;

receive data identifying one or more digital credential objects from a first client device;

determine whether the first client device is a digital credential template owner device, a digital credential issuer device, or a digital credential receiver device;

determine a region, industry, or education level associated with the first client device or a user of the first client device;

tokenize each of the one or more digital credential objects, said tokenization including extracting and modifying data fields within each of the one or more digital credential objects;

transform the one or more digital credential objects into a first vector within a multi-dimensional vector space;

access an index structure storing a plurality of field data objects, wherein the index structure is determined by the region, industry, or education level;

for each particular field data object in the plurality of field data objects stored in the index structure;

transform the particular field data object into a separate vector within the same multi-dimensional vector space of the first vector; and

calculate the vector distance within the multi-dimensional vector space between the separate vector and the first vector;

select one or more of the plurality of field data objects, based on the vector distances calculated between the first vector and the plurality of separate vectors within the same multi-dimensional vector space;

generate a mapping between the one or more digital credential objects and the selected one or more field data objects; and

transmit data identifying the mapping between the digital credential objects and the field data objects, to the first client device, wherein the data identifying the mapping is generated differently based on whether the first client device is a digital credential template owner device, a digital credential issuer device, or a digital credential receiver device; and

one or more client devices, the one or more client devices including at least the first client device, wherein each of the one or more client devices comprises;

a processing unit comprising one or more processors;

one or more network interfaces; and

memory coupled with and readable by the processing unit and storing therein a set of instructions which, when executed by the processing unit, causes the client device to;

transmit data identifying one or more digital credential objects to the digital credential platform server; and

receive, from the digital credential platform server, data identifying one or more mappings between the one or more digital credential objects and one or more field data objects.

2. The digital credential mapping system of claim 1, wherein the one or more client devices comprises a plurality of client devices including:

one or more digital credential template owner devices, each digital credential template owner device comprising;

a processing unit comprising one or more processors;

one or more network interfaces configured to securely transmit data to the digital credential platform server; and

memory coupled with and readable by the processing unit and storing therein a set of instructions which, when executed by the processing unit, causes the digital credential template owner device to transmit one or more digital credential templates to the digital credential platform server;

one or more digital credential issuer devices, each digital credential issuer device comprising;

a processing unit comprising one or more processors;

one or more network interfaces configured to securely transmit data to the digital credential platform server; and

memory coupled with and readable by the processing unit and storing therein a set of instructions which, when executed by the processing unit, causes the digital credential issuer device to determine one or more credential receivers that are eligible to receive a digital credential based on the one or more digital credential templates, generated digital credentials based on a digital credential template and user data associated with the one or more credential receivers, and transmit data confirming the issuance of the generated digital credentials to the digital credential platform server; and

one or more digital credential receiver devices, each credential receiver device comprising;

a processing unit comprising one or more processors;

one or more network interfaces configured to securely transmit data to the digital credential platform server; and

memory coupled with and readable by the processing unit and storing therein a set of instructions which, when executed by the processing unit, causes the credential receiver device to receive, from the digital credential platform server, data confirming that one or more digital credentials have been issued to a credential receiver associated with the credential receiver device, by one or more of the digital credential issuer devices.

3. The digital credential mapping system of claim 1, wherein the received data identifying one or more digital credential objects comprises a plurality of separate digital credential objects, and wherein the tokenization of the plurality of separate digital credential objects comprises:

identifying one or more matching data fields within each of the plurality of separate digital credential objects; and

creating a single aggregated digital credential object, by aggregating the data within each of the matching data fields of each of the separate digital credential objects

wherein only the single aggregated digital credential object is transformed into the first vector within the multi-dimensional vector space.

4. The digital credential mapping system of claim 1, wherein the received data identifying one or more digital credential objects comprises a plurality of digital credential objects, and wherein each of the plurality digital credential objects is separately tokenized and separately transformed into a vector within the multi-dimensional vector space, and wherein the selection of the plurality of field data objects is based on a plurality of vector distances calculated between the first vector and each of the plurality of separately transformed vectors corresponding to the plurality digital credential objects.

5. The digital credential mapping system of claim 1, wherein calculating the plurality of vector distances between the first vector and each of the plurality of separately transformed vectors corresponding to the plurality digital credential objects further comprises:

retrieving a weight value associated with each of the plurality digital credential objects; and

applying the weight value for each of the plurality digital credential objects to the calculation of the distance between the corresponding transformed vector and the first vector.

6. The digital credential mapping system of claim 1, wherein the tokenization of a first digital credential object comprises parsing a first data field of the first digital credential object to generate a plurality of individual keywords, stemming each of the plurality of keywords, and determining one or more substitute keywords associated with each of the plurality of keywords.

7. The digital credential mapping system of claim 6, wherein the tokenization of the first digital credential object further comprises identifying a plurality of multi-word keywords within a second data field of the first digital credential object, stemming each of the multi-word keywords, and determining one or more substitute keywords associated with each of the multi-word keywords, wherein the second data field is not parsed to generate a plurality of individual keywords from the multi-word keywords.

8. The digital credential mapping system of claim 1, wherein the index structure storing the plurality of field data objects comprises a high-performance text search engine.

9. The digital credential mapping system of claim 8, wherein accessing the index structure comprises:

determining geographic location data associated with the one or more digital credential objects; and

selecting the index structure from a plurality of possible index structures, based on the geographic location data associated with the digital credential objects.

10. A method of mapping digital credentials, comprising:

receiving, by a digital credential platform server and from a first client device, data identifying one or more digital credential objects;

determining whether the first client device is a digital credential template owner device, a digital credential issuer device, or a digital credential receiver device;

tokenizing, by the digital credential platform server, each of the one or more digital credential objects, said tokenization including extracting and modifying data fields within each of the one or more digital credential objects;

transforming, by the digital credential platform server, the one or more digital credential objects into a first vector within a multi-dimensional vector space;

accessing, by the digital credential platform server, an index structure storing a plurality of field data objects;

for each particular field data object in the plurality of field data objects stored in the index structure;

transforming, by the digital credential platform server, the particular field data object into a separate vector within the same multi-dimensional vector space of the first vector; and

calculating, by the digital credential platform server, the vector distance within the multi-dimensional vector space between the separate vector and the first vector;

selecting, by the digital credential platform server, one or more of the plurality of field data objects, based on the vector distances calculated between the first vector and the plurality of separate vectors within the same multi-dimensional vector space;

generating, by the digital credential platform server, a mapping between the one or more digital credential objects and the selected one or more field data objects; and

transmitting, by the digital credential platform server, data identifying the mapping between the digital credential objects and the field data objects, to the first client device, wherein the data identifying the mapping is generated differently based on whether the first client device is a digital credential template owner device, a digital credential issuer device, or a digital credential receiver device.

11. The method of mapping digital credentials of claim 10, wherein the received data identifying one or more digital credential objects comprises a plurality of separate digital credential objects, and wherein the tokenization of the plurality of separate digital credential objects comprises:

identifying one or more matching data fields within each of the plurality of separate digital credential objects; and

creating a single aggregated digital credential object, by aggregating the data within each of the matching data fields of each of the separate digital credential objects

wherein only the single aggregated digital credential object is transformed into the first vector within the multi-dimensional vector space.

12. The method of mapping digital credentials of claim 10, wherein the received data identifying one or more digital credential objects comprises a plurality of digital credential objects, and wherein each of the plurality digital credential objects is separately tokenized and separately transformed into a vector within the multi-dimensional vector space, and wherein the selection of the plurality of field data objects is based on a plurality of vector distances calculated between the first vector and each of the plurality of separately transformed vectors corresponding to the plurality digital credential objects.

13. The method of mapping digital credentials of claim 10, wherein calculating the plurality of vector distances between the first vector and each of the plurality of separately transformed vectors corresponding to the plurality digital credential objects further comprises:

retrieving a weight value associated with each of the plurality digital credential objects; and

applying the weight value for each of the plurality digital credential objects to the calculation of the distance between the corresponding transformed vector and the first vector.

14. The method of mapping digital credentials of claim 10, wherein the index structure storing the plurality of field data objects comprises a high-performance text search engine, and wherein accessing the index structure comprises:

determining geographic location data associated with the one or more digital credential objects; and

selecting the index structure from a plurality of possible index structures, based on the geographic location data associated with the digital credential objects.

15. A non-transitory computer-readable medium, having instructions stored therein, which when executed cause a computer to perform a set of operations comprising:

receiving, by a digital credential platform server and from a first client device, data identifying one or more digital credential objects;

determining a device type of the first client device;

tokenizing, by the digital credential platform server, each of the one or more digital credential objects, said tokenization including extracting and modifying data fields within each of the one or more digital credential objects;

transforming, by the digital credential platform server, the one or more digital credential objects into a first vector within a multi-dimensional vector space;

accessing, by the digital credential platform server, an index structure storing a plurality of field data objects;

for each particular field data object in the plurality of field data objects stored in the index structure;

transforming, by the digital credential platform server, the particular field data object into a separate vector within the same multi-dimensional vector space of the first vector; and

calculating, by the digital credential platform server, the vector distance within the multi-dimensional vector space between the separate vector and the first vector;

selecting, by the digital credential platform server, one or more of the plurality of field data objects, based on the vector distances calculated between the first vector and the plurality of separate vectors within the same multi-dimensional vector space;

generating, by the digital credential platform server, a mapping between the one or more digital credential objects and the selected one or more field data objects; and

transmitting, by the digital credential platform server, data identifying the mapping between the digital credential objects and the data field objects, to the first client device, wherein the data identifying the mapping is generated differently based on the device type of the first the first client device.

16. The non-transitory computer-readable medium of claim 15, wherein the device type is a digital credential template owner device, a digital credential issuer device, or a digital credential receiver device.

17. The non-transitory computer-readable medium of claim 15, wherein calculating the plurality of vector distances between the first vector and each of the plurality of separately transformed vectors corresponding to the plurality digital credential objects further comprises:

retrieving a weight value associated with each of the plurality digital credential objects; and

applying the weight value for each of the plurality digital credential objects to the calculation of the distance between the corresponding transformed vector and the first vector.

18. The non-transitory computer-readable medium of claim 15, wherein the index structure storing the plurality of field data objects comprises a high-performance text search engine, and wherein accessing the index structure comprises:

determining geographic location data associated with the one or more digital credential objects; and

selecting the index structure from a plurality of possible index structures, based on the geographic location data associated with the digital credential objects.