{"id":"https://openalex.org/W4401168930","doi":"https://doi.org/10.1145/3674225.3674330","title":"A Method for Constructing a Knowledge Graph of Electric Power Digital Marketing Based on Artificial Intelligence Deep Learning","display_name":"A Method for Constructing a Knowledge Graph of Electric Power Digital Marketing Based on Artificial Intelligence Deep Learning","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4401168930","doi":"https://doi.org/10.1145/3674225.3674330"},"language":"en","primary_location":{"id":"doi:10.1145/3674225.3674330","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","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/A5055596937","display_name":"Jianing Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianing Xu","raw_affiliation_strings":["ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China"],"affiliations":[{"raw_affiliation_string":"ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111276760","display_name":"Fei Lou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Lou","raw_affiliation_strings":["ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China"],"affiliations":[{"raw_affiliation_string":"ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100537364","display_name":"Ying Jiang","orcid":"https://orcid.org/0009-0002-0642-4106"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Jiang","raw_affiliation_strings":["ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China"],"affiliations":[{"raw_affiliation_string":"ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100576020","display_name":"Bo Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China"],"affiliations":[{"raw_affiliation_string":"ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101138126","display_name":"Zhenyuan Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyuan Zhong","raw_affiliation_strings":["ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China"],"affiliations":[{"raw_affiliation_string":"ZHEJIANG MARKETING SERVICE CENTER (METROLOGY CENTER), China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055596937"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3522,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8341629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"582","last_page":"587"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.722599983215332,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.722599983215332,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"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/T14042","display_name":"Technology and Security Systems","score":0.6970999836921692,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.63869708776474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5479571223258972},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5436420440673828},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4554552435874939},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34660956263542175},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2141709327697754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63869708776474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479571223258972},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5436420440673828},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4554552435874939},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34660956263542175},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2141709327697754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674225.3674330","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2476140280"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"With":[0],"the":[1,9,29,34,59,62,89,93,108,128,142],"rapid":[2],"development":[3],"of":[4,19,36,47,92,130],"digitalization":[5],"and":[6,40,42,85,105,162],"informatization":[7],"in":[8,21,33,127,148],"power":[10,12,38,49,109,131,135,143],"industry,":[11],"companies":[13],"have":[14,139],"accumulated":[15],"a":[16,44,73,102],"large":[17],"amount":[18],"data":[20,65,81,83,90],"various":[22],"business":[23,51,64,94],"fields.":[24],"This":[25],"article":[26],"focuses":[27],"on":[28],"intelligent":[30,116,153],"application":[31,119],"requirements":[32],"field":[35,129],"electric":[37,48],"marketing,":[39,132],"designs":[41],"constructs":[43],"knowledge":[45,97,103,111,145],"graph":[46,98,112,146],"marketing":[50,110,144],"that":[52,120,141],"includes":[53],"domain":[54,69],"background":[55],"knowledge.":[56],"Firstly,":[57],"utilize":[58],"relationships":[60],"between":[61],"basic":[63],"tables":[66,91],"organized":[67],"by":[68],"experts":[70],"to":[71,100,113],"construct":[72],"conceptual":[74],"ontology.":[75],"Next,":[76],"through":[77],"operations":[78],"such":[79],"as":[80],"cleaning,":[82],"filtering,":[84],"feature":[86],"selection,":[87],"traverse":[88],"database,":[95],"use":[96,107],"tools":[99],"obtain":[101],"graph,":[104],"finally":[106],"build":[114],"an":[115],"question":[117,124,154],"answering":[118,125,155],"supports":[121],"natural":[122],"language":[123],"services":[126],"better":[133],"serving":[134],"users.":[136],"Experimental":[137],"results":[138],"shown":[140],"constructed":[147],"this":[149],"article,":[150],"along":[151],"with":[152],"applications,":[156],"can":[157],"accurately":[158],"answer":[159],"user":[160,165],"questions":[161],"significantly":[163],"improve":[164],"satisfaction.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}