Rey R Furner

US Patent:

59744740, Oct 26, 1999

Filed:

Mar 14, 1997

Appl. No.:

8/816104

Inventors:

Rey R. Furner - Orem UT
Prabhakar Krishnaswami - Fort Collins CO
Jeffrey A. Nordin - Orem UT
Michael E. Rex - Provo UT
Mark Dakins - Springville UT
Karl G. Jorgensen - Springville UT

Assignee:

Novell, Inc. - Provo UT

International Classification:

G06F 1310

US Classification:

710 8

Abstract:

An automatic identification system in a computer system having a plurality of hardware instances located on hardware devices in the computer system. The computer system includes a plurality of physical slots each configured to receive a hardware device and referenced by a slot number. The system comprises means for assigning a hardware instance value to each of the plurality of hardware instances, the hardware instance value being unique within the computer system when two or more of the plurality of physical slots are assigned a slot number that is not unique within the computer system. Advantageously, the hardware instance value is unique within the computer system when two or more of the plurality of hardware instances are located on one of the hardware devices or when one or more of the hardware devices is installed in an expansion chassis coupled to the computer system. The hardware instance value is also unique within the computer system when one of the hardware devices includes one or more of the hardware instances coupled to an I/O bus within the hardware device or when one or more of the hardware devices is installed on a system board in the computer system. In one embodiment of the invention, the hardware instance value is a hardware instance number.

US Patent:

20220229855, Jul 21, 2022

Filed:

Apr 7, 2022

Appl. No.:

17/715649

Inventors:

- Lehi UT, US
Rey Furner - Pleasant Grove UT, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06F 16/28
G06F 16/22
G06N 20/00

Abstract:

Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include obtaining, from a tree database, a first tree person from a first genealogical tree and a second tree person from a second genealogical tree. Embodiments also include identifying a plurality of familial categories. Embodiments further include, for each familial category of the plurality of familial categories, extracting a first quantity of features for each of the tree persons in the familial category, generating a first similarity score for each possible pairing of tree persons, identifying a representative pairing based on a maximum first similarity score, and extracting a second quantity of features for each of the tree persons in the representative pairing. Embodiments may also include generating a second similarity score based on the second quantity of features.

US Patent:

20210365803, Nov 25, 2021

Filed:

Aug 3, 2021

Appl. No.:

17/392695

Inventors:

- Lehi UT, US
Jianlong Qi - Lehi UT, US
Peng Jiang - Lehi UT, US
Aaron Ling - Lehi UT, US
Rey Furner - Lehi UT, US
Lei Wu - Lehi UT, US
Eugene Greenwood - Lehi UT, US
Ian Stiles - Lehi UT, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06N 5/02
G06F 16/00

Abstract:

Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.

US Patent:

20210319003, Oct 14, 2021

Filed:

Jul 22, 2019

Appl. No.:

17/261458

Inventors:

- Lehi UT, US
Rey Furner - Lehi UT, US
Drew Pearson - Lehi UT, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06F 16/22
G06F 16/28
G06F 16/215
G06F 16/25
G06K 9/62
G06N 20/20
G06N 3/04

Abstract:

Systems, methods, and other techniques for genealogical entity resolution. In some embodiments, first tree data and second tree data are obtained, the first tree data corresponding to a first tree person and the second tree data corresponding to a second tree person. A set of features is extracted from the first tree data and the second tree data. An individual-level similarity score for each possible pairing of tree persons is generated based on the set of features. A set of most-similar tree persons is identified based on the individual-level similarity score for each possible pairing. A plurality of individual-level similarity scores for the set of most-similar tree persons are provided as input to a family-level ML model to determine that the first tree person and the second tree person correspond to a same individual.

US Patent:

20200257707, Aug 13, 2020

Filed:

Oct 19, 2018

Appl. No.:

16/758757

Inventors:

- Lehi UT, US
Rey Furner - Lehi UT, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06F 16/28
G06F 16/22
G06N 20/00

Abstract:

Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include obtaining, from a tree database, a first tree person from a first genealogical tree and a second tree person from a second genealogical tree. Embodiments also include identifying a plurality of familial categories. Embodiments My further include, for each familial category of the plurality of familial categories, extracting a first quantity of features for each of the tree persons in the familial category, generating a first similarity score for each possible pairing of tree persons, identifying a representative pairing based on a maximum first similarity score, and extracting a second quantity of features for each of the tree persons in the representative pairing. Embodiments may also include generating a second similarity score based on the second quantity of features.

US Patent:

20180329911, Nov 15, 2018

Filed:

May 12, 2017

Appl. No.:

15/593854

Inventors:

- Lehi UT, US
Eugene Greenwood - Orem UT, US
Ian Stiles - Salem UT, US
Rey Furner - Pleasant Grove UT, US

Assignee:

Ancestry.com Operations Inc. - Lehi UT

International Classification:

G06F 17/30

Abstract:

A data record management system develops person match scores for data records that may relate to the same person or subject. In a genealogical system where the data records are represented as nodes in a family tree, and where multiple data records may relate the same person in question, the data record management system evaluates not only two data records to determine if they relate to the same person, but also individually evaluate various data records pertaining to people that are related to the person in question. Person match scores are calculated by combining sub-scores based on the comparison of corresponding nodes. Sub-scores for nodes pertaining to related people may be adjusted higher even if those notes do not match, to reflect circumstances such as remarriage.

US Patent:

20170293861, Oct 12, 2017

Filed:

Apr 5, 2017

Appl. No.:

15/479291

Inventors:

- Provo UT, US
Jianlong Qi - Provo UT, US
Peng Jiang - Provo UT, US
Aaron Ling - Provo UT, US
Rey Furner - Provo UT, US
Lei Wu - Provo UT, US
Eugene Greenwood - Provo UT, US
Ian Stiles - Provo UT, US

International Classification:

G06N 99/00
G06F 17/16
G06F 17/11

Abstract:

Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.