Automatic ontology generation

Automatic ontology generation

An ontology is automatically generated for a set of data from multiple data sources. A semantic network of known concepts serves as an ontology template for a target domain of knowledge with known concepts defined as base entity types. Logical groupings of data and associated technical metadata are...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Limburn, Jonathan, Oberhofer, Martin, Schumacher, Scott, Cobbett, Michael, Woolf, Olena
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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 Limburn, Jonathan
Oberhofer, Martin
Schumacher, Scott
Cobbett, Michael
Woolf, Olena
description An ontology is automatically generated for a set of data from multiple data sources. A semantic network of known concepts serves as an ontology template for a target domain of knowledge with known concepts defined as base entity types. Logical groupings of data and associated technical metadata are read from the data sources. Data discovery techniques are applied to detect semantic and/or syntactic classification of data attributes in the logical groupings of data. For each of the logical groupings of data, an entity type with properties for the data attributes are generated and the generated entity type is added to the semantic network with classifications of the properties as derived from the applied data discovery techniques. Semantic meanings of the generated entity types are generated and associated with other entity types within the semantic network and the semantic network is output as a resultant ontology for the set of data.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US10540383B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US10540383B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US10540383B23</originalsourceid><addsrcrecordid>eNrjZJB1LC3Jz00syUxWyM8ryc_JT69USE_NSy0CCuXn8TCwpiXmFKfyQmluBkU31xBnD93Ugvz41OKCxGSg0pL40GBDA1MTA2MLYycjY2LUAAD-PSS2</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Automatic ontology generation</title><source>esp@cenet</source><creator>Limburn, Jonathan ; Oberhofer, Martin ; Schumacher, Scott ; Cobbett, Michael ; Woolf, Olena</creator><creatorcontrib>Limburn, Jonathan ; Oberhofer, Martin ; Schumacher, Scott ; Cobbett, Michael ; Woolf, Olena</creatorcontrib><description>An ontology is automatically generated for a set of data from multiple data sources. A semantic network of known concepts serves as an ontology template for a target domain of knowledge with known concepts defined as base entity types. Logical groupings of data and associated technical metadata are read from the data sources. Data discovery techniques are applied to detect semantic and/or syntactic classification of data attributes in the logical groupings of data. For each of the logical groupings of data, an entity type with properties for the data attributes are generated and the generated entity type is added to the semantic network with classifications of the properties as derived from the applied data discovery techniques. Semantic meanings of the generated entity types are generated and associated with other entity types within the semantic network and the semantic network is output as a resultant ontology for the set of data.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2020</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=20200121&amp;DB=EPODOC&amp;CC=US&amp;NR=10540383B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20200121&amp;DB=EPODOC&amp;CC=US&amp;NR=10540383B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Limburn, Jonathan</creatorcontrib><creatorcontrib>Oberhofer, Martin</creatorcontrib><creatorcontrib>Schumacher, Scott</creatorcontrib><creatorcontrib>Cobbett, Michael</creatorcontrib><creatorcontrib>Woolf, Olena</creatorcontrib><title>Automatic ontology generation</title><description>An ontology is automatically generated for a set of data from multiple data sources. A semantic network of known concepts serves as an ontology template for a target domain of knowledge with known concepts defined as base entity types. Logical groupings of data and associated technical metadata are read from the data sources. Data discovery techniques are applied to detect semantic and/or syntactic classification of data attributes in the logical groupings of data. For each of the logical groupings of data, an entity type with properties for the data attributes are generated and the generated entity type is added to the semantic network with classifications of the properties as derived from the applied data discovery techniques. Semantic meanings of the generated entity types are generated and associated with other entity types within the semantic network and the semantic network is output as a resultant ontology for the set of data.</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJB1LC3Jz00syUxWyM8ryc_JT69USE_NSy0CCuXn8TCwpiXmFKfyQmluBkU31xBnD93Ugvz41OKCxGSg0pL40GBDA1MTA2MLYycjY2LUAAD-PSS2</recordid><startdate>20200121</startdate><enddate>20200121</enddate><creator>Limburn, Jonathan</creator><creator>Oberhofer, Martin</creator><creator>Schumacher, Scott</creator><creator>Cobbett, Michael</creator><creator>Woolf, Olena</creator><scope>EVB</scope></search><sort><creationdate>20200121</creationdate><title>Automatic ontology generation</title><author>Limburn, Jonathan ; Oberhofer, Martin ; Schumacher, Scott ; Cobbett, Michael ; Woolf, Olena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10540383B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Limburn, Jonathan</creatorcontrib><creatorcontrib>Oberhofer, Martin</creatorcontrib><creatorcontrib>Schumacher, Scott</creatorcontrib><creatorcontrib>Cobbett, Michael</creatorcontrib><creatorcontrib>Woolf, Olena</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Limburn, Jonathan</au><au>Oberhofer, Martin</au><au>Schumacher, Scott</au><au>Cobbett, Michael</au><au>Woolf, Olena</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Automatic ontology generation</title><date>2020-01-21</date><risdate>2020</risdate><abstract>An ontology is automatically generated for a set of data from multiple data sources. A semantic network of known concepts serves as an ontology template for a target domain of knowledge with known concepts defined as base entity types. Logical groupings of data and associated technical metadata are read from the data sources. Data discovery techniques are applied to detect semantic and/or syntactic classification of data attributes in the logical groupings of data. For each of the logical groupings of data, an entity type with properties for the data attributes are generated and the generated entity type is added to the semantic network with classifications of the properties as derived from the applied data discovery techniques. Semantic meanings of the generated entity types are generated and associated with other entity types within the semantic network and the semantic network is output as a resultant ontology for the set of data.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US10540383B2
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Automatic ontology generation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T01%3A02%3A36IST&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=Limburn,%20Jonathan&rft.date=2020-01-21&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS10540383B2%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