System and Method for Partial Name Matching Against Noisy Entities Using Discovered Relationships

A method, system and computer-usable medium are disclosed to identify a set of entity names based on a partial name of the entity utilizing discovered relationships. A partial name from a user is received as to the entity in order to retrieve a plurality of names of the entity in a corpus which can...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Beller, Charles E, Drzewucki, Michael, Ackermann, Christopher F
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Beller, Charles E
Drzewucki, Michael
Ackermann, Christopher F
description A method, system and computer-usable medium are disclosed to identify a set of entity names based on a partial name of the entity utilizing discovered relationships. A partial name from a user is received as to the entity in order to retrieve a plurality of names of the entity in a corpus which can be a body or works, document, etc. References to the entries containing the partial name are retrieved from the corpus. A natural language processing is applied to content associated with references to identify candidate entities. A similarity is performed as to the identified candidate entities to form a similarity assessment, and from the candidate entities a selection is made based on a merging criteria.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2022138233A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2022138233A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2022138233A13</originalsourceid><addsrcrecordid>eNqNysEKgkAQgGEvHaJ6h4HOQe5euooZXZTIPMugozuw7oozBL59BD1Ap__w_dsE61WUJsDQQ0nqYg9DXOCBizJ6qHAiKFE7x2GEbEQOolBFlhWKoKxMAo188crSxTct1MOTPCrHII5n2SebAb3Q4dddcrwVr_x-ojm2JDN2FEjbpjZnY1J7MdZmqf3v-gCcyT4a</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>System and Method for Partial Name Matching Against Noisy Entities Using Discovered Relationships</title><source>esp@cenet</source><creator>Beller, Charles E ; Drzewucki, Michael ; Ackermann, Christopher F</creator><creatorcontrib>Beller, Charles E ; Drzewucki, Michael ; Ackermann, Christopher F</creatorcontrib><description>A method, system and computer-usable medium are disclosed to identify a set of entity names based on a partial name of the entity utilizing discovered relationships. A partial name from a user is received as to the entity in order to retrieve a plurality of names of the entity in a corpus which can be a body or works, document, etc. References to the entries containing the partial name are retrieved from the corpus. A natural language processing is applied to content associated with references to identify candidate entities. A similarity is performed as to the identified candidate entities to form a similarity assessment, and from the candidate entities a selection is made based on a merging criteria.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220505&amp;DB=EPODOC&amp;CC=US&amp;NR=2022138233A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220505&amp;DB=EPODOC&amp;CC=US&amp;NR=2022138233A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Beller, Charles E</creatorcontrib><creatorcontrib>Drzewucki, Michael</creatorcontrib><creatorcontrib>Ackermann, Christopher F</creatorcontrib><title>System and Method for Partial Name Matching Against Noisy Entities Using Discovered Relationships</title><description>A method, system and computer-usable medium are disclosed to identify a set of entity names based on a partial name of the entity utilizing discovered relationships. A partial name from a user is received as to the entity in order to retrieve a plurality of names of the entity in a corpus which can be a body or works, document, etc. References to the entries containing the partial name are retrieved from the corpus. A natural language processing is applied to content associated with references to identify candidate entities. A similarity is performed as to the identified candidate entities to form a similarity assessment, and from the candidate entities a selection is made based on a merging criteria.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNysEKgkAQgGEvHaJ6h4HOQe5euooZXZTIPMugozuw7oozBL59BD1Ap__w_dsE61WUJsDQQ0nqYg9DXOCBizJ6qHAiKFE7x2GEbEQOolBFlhWKoKxMAo188crSxTct1MOTPCrHII5n2SebAb3Q4dddcrwVr_x-ojm2JDN2FEjbpjZnY1J7MdZmqf3v-gCcyT4a</recordid><startdate>20220505</startdate><enddate>20220505</enddate><creator>Beller, Charles E</creator><creator>Drzewucki, Michael</creator><creator>Ackermann, Christopher F</creator><scope>EVB</scope></search><sort><creationdate>20220505</creationdate><title>System and Method for Partial Name Matching Against Noisy Entities Using Discovered Relationships</title><author>Beller, Charles E ; Drzewucki, Michael ; Ackermann, Christopher F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2022138233A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Beller, Charles E</creatorcontrib><creatorcontrib>Drzewucki, Michael</creatorcontrib><creatorcontrib>Ackermann, Christopher F</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Beller, Charles E</au><au>Drzewucki, Michael</au><au>Ackermann, Christopher F</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>System and Method for Partial Name Matching Against Noisy Entities Using Discovered Relationships</title><date>2022-05-05</date><risdate>2022</risdate><abstract>A method, system and computer-usable medium are disclosed to identify a set of entity names based on a partial name of the entity utilizing discovered relationships. A partial name from a user is received as to the entity in order to retrieve a plurality of names of the entity in a corpus which can be a body or works, document, etc. References to the entries containing the partial name are retrieved from the corpus. A natural language processing is applied to content associated with references to identify candidate entities. A similarity is performed as to the identified candidate entities to form a similarity assessment, and from the candidate entities a selection is made based on a merging criteria.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2022138233A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title System and Method for Partial Name Matching Against Noisy Entities Using Discovered Relationships
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T19%3A41%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Beller,%20Charles%20E&rft.date=2022-05-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2022138233A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true