Industry standard blank feature recognition system and method based on multi-source data analysis
The invention discloses an industry standard blank feature recognition system based on multi-source data analysis. A database of the industry standard blank feature recognition system obtains a patentand paper high-frequency feature word group set; the technical field division module is used for obt...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; 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 | GU SHANQIANG GU LINA WANG XIAO ZENG YU ZHENG LEI FANG YUHE LUO HAO LI JIAN ZHAO HAIXIANG LI NING WEI FENG WANG HAITAO TAO LINGHONG SHI WEIJUN DENG AMEI HU WENPING CHEN XIUMIN ZHENG LUYAO ZHAO CHUN LI TAO |
| description | The invention discloses an industry standard blank feature recognition system based on multi-source data analysis. A database of the industry standard blank feature recognition system obtains a patentand paper high-frequency feature word group set; the technical field division module is used for obtaining technical direction classifications contained in the retrieved patent and paper data; a clustering module acquires a patent and paper high-frequency feature word group set under each technical direction classification; the database obtains an industry standard high-frequency feature word group set under each technical direction classification; and the identification module obtains characteristic word groups which do not belong to the industry standard high-frequency characteristic word group set in the patent and paper high-frequency characteristic word group set under the same technical direction classification. According to the invention, the blank technical feature identificationin the industry standard i |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112464648A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112464648A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112464648A3</originalsourceid><addsrcrecordid>eNqNyjEOwjAMheEuDAi4gzlAhwJCrKgCwcLEXpnEpRGJU8XOkNuTgQOgN_zD-5YN3tlm0VRAFNlisvDyyB8YCTUngkQmvtmpiwxSRClAdRBIp1gtClmoV8heXSsxJ0NgUbEq9EWcrJvFiF5o8-uq2V4vz_7W0hwHkhkNMenQP7pudzjWnc77f8wXWaA-NA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Industry standard blank feature recognition system and method based on multi-source data analysis</title><source>esp@cenet</source><creator>GU SHANQIANG ; GU LINA ; WANG XIAO ; ZENG YU ; ZHENG LEI ; FANG YUHE ; LUO HAO ; LI JIAN ; ZHAO HAIXIANG ; LI NING ; WEI FENG ; WANG HAITAO ; TAO LINGHONG ; SHI WEIJUN ; DENG AMEI ; HU WENPING ; CHEN XIUMIN ; ZHENG LUYAO ; ZHAO CHUN ; LI TAO</creator><creatorcontrib>GU SHANQIANG ; GU LINA ; WANG XIAO ; ZENG YU ; ZHENG LEI ; FANG YUHE ; LUO HAO ; LI JIAN ; ZHAO HAIXIANG ; LI NING ; WEI FENG ; WANG HAITAO ; TAO LINGHONG ; SHI WEIJUN ; DENG AMEI ; HU WENPING ; CHEN XIUMIN ; ZHENG LUYAO ; ZHAO CHUN ; LI TAO</creatorcontrib><description>The invention discloses an industry standard blank feature recognition system based on multi-source data analysis. A database of the industry standard blank feature recognition system obtains a patentand paper high-frequency feature word group set; the technical field division module is used for obtaining technical direction classifications contained in the retrieved patent and paper data; a clustering module acquires a patent and paper high-frequency feature word group set under each technical direction classification; the database obtains an industry standard high-frequency feature word group set under each technical direction classification; and the identification module obtains characteristic word groups which do not belong to the industry standard high-frequency characteristic word group set in the patent and paper high-frequency characteristic word group set under the same technical direction classification. According to the invention, the blank technical feature identificationin the industry standard i</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</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&date=20210309&DB=EPODOC&CC=CN&NR=112464648A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210309&DB=EPODOC&CC=CN&NR=112464648A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GU SHANQIANG</creatorcontrib><creatorcontrib>GU LINA</creatorcontrib><creatorcontrib>WANG XIAO</creatorcontrib><creatorcontrib>ZENG YU</creatorcontrib><creatorcontrib>ZHENG LEI</creatorcontrib><creatorcontrib>FANG YUHE</creatorcontrib><creatorcontrib>LUO HAO</creatorcontrib><creatorcontrib>LI JIAN</creatorcontrib><creatorcontrib>ZHAO HAIXIANG</creatorcontrib><creatorcontrib>LI NING</creatorcontrib><creatorcontrib>WEI FENG</creatorcontrib><creatorcontrib>WANG HAITAO</creatorcontrib><creatorcontrib>TAO LINGHONG</creatorcontrib><creatorcontrib>SHI WEIJUN</creatorcontrib><creatorcontrib>DENG AMEI</creatorcontrib><creatorcontrib>HU WENPING</creatorcontrib><creatorcontrib>CHEN XIUMIN</creatorcontrib><creatorcontrib>ZHENG LUYAO</creatorcontrib><creatorcontrib>ZHAO CHUN</creatorcontrib><creatorcontrib>LI TAO</creatorcontrib><title>Industry standard blank feature recognition system and method based on multi-source data analysis</title><description>The invention discloses an industry standard blank feature recognition system based on multi-source data analysis. A database of the industry standard blank feature recognition system obtains a patentand paper high-frequency feature word group set; the technical field division module is used for obtaining technical direction classifications contained in the retrieved patent and paper data; a clustering module acquires a patent and paper high-frequency feature word group set under each technical direction classification; the database obtains an industry standard high-frequency feature word group set under each technical direction classification; and the identification module obtains characteristic word groups which do not belong to the industry standard high-frequency characteristic word group set in the patent and paper high-frequency characteristic word group set under the same technical direction classification. According to the invention, the blank technical feature identificationin the industry standard i</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEOwjAMheEuDAi4gzlAhwJCrKgCwcLEXpnEpRGJU8XOkNuTgQOgN_zD-5YN3tlm0VRAFNlisvDyyB8YCTUngkQmvtmpiwxSRClAdRBIp1gtClmoV8heXSsxJ0NgUbEq9EWcrJvFiF5o8-uq2V4vz_7W0hwHkhkNMenQP7pudzjWnc77f8wXWaA-NA</recordid><startdate>20210309</startdate><enddate>20210309</enddate><creator>GU SHANQIANG</creator><creator>GU LINA</creator><creator>WANG XIAO</creator><creator>ZENG YU</creator><creator>ZHENG LEI</creator><creator>FANG YUHE</creator><creator>LUO HAO</creator><creator>LI JIAN</creator><creator>ZHAO HAIXIANG</creator><creator>LI NING</creator><creator>WEI FENG</creator><creator>WANG HAITAO</creator><creator>TAO LINGHONG</creator><creator>SHI WEIJUN</creator><creator>DENG AMEI</creator><creator>HU WENPING</creator><creator>CHEN XIUMIN</creator><creator>ZHENG LUYAO</creator><creator>ZHAO CHUN</creator><creator>LI TAO</creator><scope>EVB</scope></search><sort><creationdate>20210309</creationdate><title>Industry standard blank feature recognition system and method based on multi-source data analysis</title><author>GU SHANQIANG ; GU LINA ; WANG XIAO ; ZENG YU ; ZHENG LEI ; FANG YUHE ; LUO HAO ; LI JIAN ; ZHAO HAIXIANG ; LI NING ; WEI FENG ; WANG HAITAO ; TAO LINGHONG ; SHI WEIJUN ; DENG AMEI ; HU WENPING ; CHEN XIUMIN ; ZHENG LUYAO ; ZHAO CHUN ; LI TAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112464648A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>GU SHANQIANG</creatorcontrib><creatorcontrib>GU LINA</creatorcontrib><creatorcontrib>WANG XIAO</creatorcontrib><creatorcontrib>ZENG YU</creatorcontrib><creatorcontrib>ZHENG LEI</creatorcontrib><creatorcontrib>FANG YUHE</creatorcontrib><creatorcontrib>LUO HAO</creatorcontrib><creatorcontrib>LI JIAN</creatorcontrib><creatorcontrib>ZHAO HAIXIANG</creatorcontrib><creatorcontrib>LI NING</creatorcontrib><creatorcontrib>WEI FENG</creatorcontrib><creatorcontrib>WANG HAITAO</creatorcontrib><creatorcontrib>TAO LINGHONG</creatorcontrib><creatorcontrib>SHI WEIJUN</creatorcontrib><creatorcontrib>DENG AMEI</creatorcontrib><creatorcontrib>HU WENPING</creatorcontrib><creatorcontrib>CHEN XIUMIN</creatorcontrib><creatorcontrib>ZHENG LUYAO</creatorcontrib><creatorcontrib>ZHAO CHUN</creatorcontrib><creatorcontrib>LI TAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GU SHANQIANG</au><au>GU LINA</au><au>WANG XIAO</au><au>ZENG YU</au><au>ZHENG LEI</au><au>FANG YUHE</au><au>LUO HAO</au><au>LI JIAN</au><au>ZHAO HAIXIANG</au><au>LI NING</au><au>WEI FENG</au><au>WANG HAITAO</au><au>TAO LINGHONG</au><au>SHI WEIJUN</au><au>DENG AMEI</au><au>HU WENPING</au><au>CHEN XIUMIN</au><au>ZHENG LUYAO</au><au>ZHAO CHUN</au><au>LI TAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Industry standard blank feature recognition system and method based on multi-source data analysis</title><date>2021-03-09</date><risdate>2021</risdate><abstract>The invention discloses an industry standard blank feature recognition system based on multi-source data analysis. A database of the industry standard blank feature recognition system obtains a patentand paper high-frequency feature word group set; the technical field division module is used for obtaining technical direction classifications contained in the retrieved patent and paper data; a clustering module acquires a patent and paper high-frequency feature word group set under each technical direction classification; the database obtains an industry standard high-frequency feature word group set under each technical direction classification; and the identification module obtains characteristic word groups which do not belong to the industry standard high-frequency characteristic word group set in the patent and paper high-frequency characteristic word group set under the same technical direction classification. According to the invention, the blank technical feature identificationin the industry standard i</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN112464648A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Industry standard blank feature recognition system and method based on multi-source data analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T15%3A36%3A12IST&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=GU%20SHANQIANG&rft.date=2021-03-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112464648A%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 |