{"id":"https://openalex.org/W3034074820","doi":"https://doi.org/10.1145/3386164.3389093","title":"Using Graph Representations for Semantic Information Extraction from Chinese Patents","display_name":"Using Graph Representations for Semantic Information Extraction from Chinese Patents","publication_year":2019,"publication_date":"2019-09-25","ids":{"openalex":"https://openalex.org/W3034074820","doi":"https://doi.org/10.1145/3386164.3389093","mag":"3034074820"},"language":"en","primary_location":{"id":"doi:10.1145/3386164.3389093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386164.3389093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088432110","display_name":"Wei Ding","orcid":"https://orcid.org/0000-0002-3383-551X"},"institutions":[{"id":"https://openalex.org/I4210091692","display_name":"Beijing Automation Control Equipment Institute","ror":"https://ror.org/00gvfpz28","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210091692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Ding","raw_affiliation_strings":["Beijing Office, North Automatic Control Technology Institute, Bejing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Office, North Automatic Control Technology Institute, Bejing, China","institution_ids":["https://openalex.org/I4210091692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060474507","display_name":"Junli Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junli Wang","raw_affiliation_strings":["Taiyuan Office, North Automatic Control Technology Institute, Taiyuan, Shanxi, China"],"affiliations":[{"raw_affiliation_string":"Taiyuan Office, North Automatic Control Technology Institute, Taiyuan, Shanxi, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102024638","display_name":"Haohao Zhu","orcid":"https://orcid.org/0000-0003-1848-2354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haohao Zhu","raw_affiliation_strings":["Taiyuan Office, North Automatic Control Technology Institute, Taiyuan, Shanxi, China"],"affiliations":[{"raw_affiliation_string":"Taiyuan Office, North Automatic Control Technology Institute, Taiyuan, Shanxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088432110"],"corresponding_institution_ids":["https://openalex.org/I4210091692"],"apc_list":null,"apc_paid":null,"fwci":0.7544,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8109259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10856","display_name":"Intellectual Property and Patents","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10856","display_name":"Intellectual Property and Patents","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9272000193595886,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7758331298828125},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5927786827087402},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5899627804756165},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.5537348389625549},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.49607667326927185},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41028618812561035},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40299129486083984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36366236209869385},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3350036144256592},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.19529205560684204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758331298828125},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5927786827087402},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5899627804756165},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.5537348389625549},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.49607667326927185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41028618812561035},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40299129486083984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36366236209869385},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3350036144256592},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.19529205560684204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3386164.3389093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386164.3389093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W143472301","https://openalex.org/W1593045043","https://openalex.org/W1817462968","https://openalex.org/W1978394996","https://openalex.org/W2001064229","https://openalex.org/W2004759731","https://openalex.org/W2016121066","https://openalex.org/W2016321886","https://openalex.org/W2024188722","https://openalex.org/W2054928183","https://openalex.org/W2062418945","https://openalex.org/W2065429153","https://openalex.org/W2118287625","https://openalex.org/W2118585731","https://openalex.org/W2133990480","https://openalex.org/W2147830435","https://openalex.org/W2293470130","https://openalex.org/W2985127494","https://openalex.org/W2998237634","https://openalex.org/W4231574344","https://openalex.org/W6677656871","https://openalex.org/W7015831105"],"related_works":["https://openalex.org/W2082996318","https://openalex.org/W3200266554","https://openalex.org/W2945478369","https://openalex.org/W1989909550","https://openalex.org/W3115442681","https://openalex.org/W2007838763","https://openalex.org/W2600031357","https://openalex.org/W2391000461","https://openalex.org/W2144527026","https://openalex.org/W4386112722"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,38,45,83],"graph":[4,30,35,42,50,54,68,125,136],"representation":[5,137],"approach":[6],"to":[7,19,90,109],"automatically":[8],"extract":[9],"semantic":[10,21],"information":[11],"from":[12,76],"Chinese":[13],"patents,":[14],"which":[15],"can":[16],"be":[17],"used":[18,106],"provide":[20],"support":[22],"for":[23,113],"text-content":[24],"based":[25,40,48,95],"patent":[26],"intelligent":[27],"analysis.":[28],"Two":[29],"models":[31],"are":[32],"devised":[33],"using":[34],"representations,":[36],"i.e.,":[37],"keyword":[39],"text":[41,49,77,111],"model":[43,55,69],"and":[44,101,120],"dependency":[46],"tree":[47],"model.":[51],"The":[52,127],"first":[53],"is":[56,70,88],"constructed":[57,71],"by":[58,72],"computing":[59],"the":[60,66,80,97,114,118,123,131,134],"similarities":[61],"between":[62],"two":[63,99],"keywords,":[64],"while":[65],"second":[67],"extracting":[73],"syntactic":[74],"relations":[75],"sentences.":[78],"In":[79],"case":[81],"study":[82],"frequent":[84,92],"subgraph":[85,93],"mining":[86],"algorithm":[87],"utilized":[89],"discover":[91],"patterns":[94,103],"on":[96],"above":[98],"models,":[100],"such":[102],"were":[104],"further":[105],"as":[107],"features":[108],"build":[110],"classifiers":[112],"purpose":[115],"of":[116,122,133],"testing":[117],"expressivity":[119],"effectiveness":[121],"proposed":[124,135],"models.":[126],"experimental":[128],"results":[129],"proves":[130],"validation":[132],"methods.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
