{"id":"https://openalex.org/W4411016318","doi":"https://doi.org/10.1145/3728725.3728767","title":"Research on Deep Data Annotation Methods Based on Expertise in the Power Industry","display_name":"Research on Deep Data Annotation Methods Based on Expertise in the Power Industry","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4411016318","doi":"https://doi.org/10.1145/3728725.3728767"},"language":"en","primary_location":{"id":"doi:10.1145/3728725.3728767","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728767","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728767","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728767","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040224564","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0002-2860-4645"},"institutions":[{"id":"https://openalex.org/I4210113402","display_name":"China National Chemical Corporation (China)","ror":"https://ror.org/02cbhvc53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210113402"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Information and Digitalization Management Dept., China Petroleum & Chemical Corporation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information and Digitalization Management Dept., China Petroleum & Chemical Corporation, Beijing, China","institution_ids":["https://openalex.org/I4210113402"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030276344","display_name":"Chenyu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113402","display_name":"China National Chemical Corporation (China)","ror":"https://ror.org/02cbhvc53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210113402"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Liu","raw_affiliation_strings":["Information and Digitalization Management Dept., China Petroleum & Chemical Corporation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information and Digitalization Management Dept., China Petroleum & Chemical Corporation, Beijing, China","institution_ids":["https://openalex.org/I4210113402"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108624882","display_name":"S.J. Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I130541836","display_name":"Beijing Institute of Petrochemical Technology","ror":"https://ror.org/025s55q11","country_code":"CN","type":"education","lineage":["https://openalex.org/I130541836"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofei Yu","raw_affiliation_strings":["Institute of Information Technology, Petro-CyberWorks Information Technology Co. Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Petro-CyberWorks Information Technology Co. Ltd., Beijing, China","institution_ids":["https://openalex.org/I130541836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040224564"],"corresponding_institution_ids":["https://openalex.org/I4210113402"],"apc_list":null,"apc_paid":null,"fwci":1.6595,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85233629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"266","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9408000111579895,"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/annotation","display_name":"Annotation","score":0.7371370792388916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565408706665039},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.43403276801109314},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39600932598114014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39190196990966797}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7371370792388916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565408706665039},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.43403276801109314},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39600932598114014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39190196990966797},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3728725.3728767","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728767","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728767","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728725.3728767","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728767","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728767","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411016318.pdf","grobid_xml":"https://content.openalex.org/works/W4411016318.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2996500226","https://openalex.org/W3194694093","https://openalex.org/W4315778627","https://openalex.org/W4362471706"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328"],"abstract_inverted_index":{"This":[0,134],"study":[1],"presents":[2],"the":[3,79,102,147,152],"development":[4],"of":[5,82,94,98],"an":[6],"automated":[7,135],"annotation":[8,105,136,145],"tool":[9,32,137],"for":[10,57,71,131,143,154],"energy":[11],"industries":[12],"such":[13,119],"as":[14,120],"power,":[15],"leveraging":[16],"large":[17,66],"language":[18,67],"models":[19],"to":[20],"address":[21],"challenges":[22],"in":[23,117,146],"processing":[24],"unstructured":[25],"text":[26],"data":[27,37,42,45,60,144],"efficiently":[28],"and":[29,39,41,75,110,125,150,158],"accurately.":[30],"The":[31,44,59,86],"comprises":[33],"two":[34],"main":[35],"subsystems:":[36],"cleaning":[38,46],"preprocessing,":[40],"generation.":[43],"subsystem":[47],"normalizes":[48],"multi-format":[49],"documents,":[50],"converting":[51],"them":[52],"into":[53],"structured":[54],"formats":[55],"suitable":[56],"annotation.":[58],"generation":[61,81],"subsystem,":[62],"based":[63],"on":[64,91],"a":[65,139],"model,":[68],"includes":[69],"modules":[70],"text,":[72],"table,":[73],"terminology,":[74],"image":[76],"annotation,":[77],"enabling":[78],"automatic":[80],"diverse":[83],"question-answer":[84],"pairs.":[85],"tool's":[87,103],"performance":[88],"was":[89],"evaluated":[90],"574":[92],"documents":[93],"eight":[95],"common":[96],"types":[97],"documents.":[99],"Results":[100],"show":[101],"strong":[104],"capability,":[106],"achieving":[107],"high":[108],"accuracy":[109],"coverage":[111],"rates.":[112],"However,":[113],"limitations":[114],"were":[115],"observed":[116],"areas":[118],"term":[121],"recognition,":[122],"context":[123],"understanding,":[124],"multimodal":[126],"content":[127],"handling,":[128],"highlighting":[129],"avenues":[130],"future":[132],"improvement.":[133],"offers":[138],"scalable,":[140],"cost-effective":[141],"solution":[142],"power":[148],"industry":[149],"lays":[151],"groundwork":[153],"enhancing":[155],"data-driven":[156],"decision-making":[157],"knowledge":[159],"extraction":[160],"across":[161],"similar":[162],"industries.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}