{"id":"https://openalex.org/W4295602425","doi":"https://doi.org/10.3103/s0146411622040095","title":"Research on the Construction Method of Rice Knowledge Graph","display_name":"Research on the Construction Method of Rice Knowledge Graph","publication_year":2022,"publication_date":"2022-08-01","ids":{"openalex":"https://openalex.org/W4295602425","doi":"https://doi.org/10.3103/s0146411622040095"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411622040095","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411622040095","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-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/A5100767424","display_name":"Hairong Wang","orcid":"https://orcid.org/0009-0003-6835-0998"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hairong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University, 750021, Yinchuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University, 750021, Yinchuan, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462178","display_name":"Dandan Wang","orcid":"https://orcid.org/0000-0003-1182-9095"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University, 750021, Yinchuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University, 750021, Yinchuan, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696663","display_name":"Xi Xu","orcid":"https://orcid.org/0000-0003-4728-615X"},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Xu","raw_affiliation_strings":["School of Computer Science and Engineering, North Minzu University, 750021, Yinchuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, North Minzu University, 750021, Yinchuan, China","institution_ids":["https://openalex.org/I3019309368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100767424"],"corresponding_institution_ids":["https://openalex.org/I3019309368"],"apc_list":null,"apc_paid":null,"fwci":0.2573,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51937538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"56","issue":"4","first_page":"291","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9703999757766724,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9703999757766724,"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"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9368000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.877977728843689},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6855295300483704},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5223166346549988},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49656397104263306},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.46098101139068604},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4606272280216217},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45134350657463074},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.4106355905532837},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3561122417449951},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30320751667022705},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.2714453339576721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23356717824935913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.877977728843689},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6855295300483704},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5223166346549988},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49656397104263306},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.46098101139068604},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4606272280216217},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45134350657463074},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.4106355905532837},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3561122417449951},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30320751667022705},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.2714453339576721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23356717824935913},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411622040095","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411622040095","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1983731623","https://openalex.org/W2040647304","https://openalex.org/W2109529365","https://openalex.org/W2380374111","https://openalex.org/W2772877400","https://openalex.org/W2899358986","https://openalex.org/W2976859544","https://openalex.org/W3003897668","https://openalex.org/W3022290554"],"related_works":["https://openalex.org/W2923818335","https://openalex.org/W3191833430","https://openalex.org/W4324118762","https://openalex.org/W4287162938","https://openalex.org/W3003401769","https://openalex.org/W4210315291","https://openalex.org/W3193273225","https://openalex.org/W3215298902","https://openalex.org/W3043550961","https://openalex.org/W3176975437"],"abstract_inverted_index":{"With":[0],"the":[1,7,17,45,117,125,135,138,146,167,175,180,188],"development":[2],"of":[3,50,56,70,121,137,190],"technologies":[4],"such":[5],"as":[6],"IoT":[8],"and":[9,12,28,60,73,100,104,119,128,165],"remote":[10],"sensing":[11],"their":[13,101],"wide":[14],"application":[15],"in":[16,21,53,67,123,148,182],"agricultural":[18,23,30,51],"field,":[19],"resulting":[20],"large-scale":[22],"data,":[24],"how":[25],"to":[26,39,64,76,92,97,133,144],"organize":[27],"utilize":[29],"big":[31],"data":[32,52,63,66,77,80,88],"effectively":[33,186],"has":[34],"become":[35],"a":[36,153],"key":[37],"problem":[38],"be":[40],"solved.":[41],"This":[42],"article":[43],"studies":[44],"knowledge":[46,126,140,154,160,176,192],"graph":[47,177],"representation":[48],"method":[49,147,181],"rice.":[54,68],"First":[55],"all,":[57,71],"using":[58],"crawler":[59],"government":[61],"open":[62],"obtain":[65],"Secondly":[69],"classification":[72],"processing":[74],"according":[75],"characteristics:":[78],"Structured":[79],"calls":[81],"D2R":[82],"for":[83],"RDF":[84],"mode":[85],"conversion;":[86],"Unstructured":[87],"uses":[89],"semantic":[90],"dictionary":[91],"build":[93,152],"templates,":[94],"define":[95],"rules":[96],"extract":[98,105],"entities":[99],"attribute":[102],"values,":[103],"nontaxonomic":[106],"relationships":[107],"from":[108],"texts":[109],"based":[110,157],"on":[111,158],"pattern":[112],"matching":[113],"method.":[114],"Finally,":[115],"with":[116],"participation":[118],"guidance":[120],"expert":[122],"rice,":[124],"complement":[127],"correction":[129],"are":[130],"carried":[131],"out":[132],"complete":[134],"construction":[136],"rice":[139,159],"graph.":[141],"In":[142],"order":[143],"verify":[145],"this":[149,183],"paper,":[150],"we":[151],"query":[155,163],"system":[156],"graph,":[161],"construct":[162],"examples,":[164],"analyze":[166],"experimental":[168],"results.":[169],"The":[170],"verification":[171],"results":[172],"show":[173],"that":[174],"constructed":[178],"by":[179],"paper":[184],"can":[185],"improve":[187],"accuracy":[189],"domain":[191],"query.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}