{"id":"https://openalex.org/W4411686564","doi":"https://doi.org/10.1093/llc/fqaf043","title":"Leveraging generative AI through prompt engineering for corpus construction and in-depth intelligent interpretation of ancient texts","display_name":"Leveraging generative AI through prompt engineering for corpus construction and in-depth intelligent interpretation of ancient texts","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W4411686564","doi":"https://doi.org/10.1093/llc/fqaf043"},"language":"en","primary_location":{"id":"doi:10.1093/llc/fqaf043","is_oa":false,"landing_page_url":"https://doi.org/10.1093/llc/fqaf043","pdf_url":null,"source":{"id":"https://openalex.org/S2734814886","display_name":"Digital Scholarship in the Humanities","issn_l":"2055-7671","issn":["2055-7671","2055-768X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Scholarship in the Humanities","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/A5083285009","display_name":"Jiangfeng Liu","orcid":"https://orcid.org/0000-0001-7268-7313"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfeng Liu","raw_affiliation_strings":["Laboratory of Data Intelligence and Cross Innovation, Nanjing University , Nanjing 210023,","School of Information Management, Nanjing University , Nanjing 210023,"],"raw_orcid":"https://orcid.org/0000-0001-7268-7313","affiliations":[{"raw_affiliation_string":"Laboratory of Data Intelligence and Cross Innovation, Nanjing University , Nanjing 210023,","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"School of Information Management, Nanjing University , Nanjing 210023,","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101109214","display_name":"Yang Chun-hua","orcid":"https://orcid.org/0009-0004-9826-8052"},"institutions":[{"id":"https://openalex.org/I131434179","display_name":"Nanjing University of Chinese Medicine","ror":"https://ror.org/04523zj19","country_code":"CN","type":"education","lineage":["https://openalex.org/I131434179"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhua Yang","raw_affiliation_strings":["School of Health Economic and Management, Nanjing University of Chinese Medicine , Nanjing 210023,"],"raw_orcid":"https://orcid.org/0009-0004-9826-8052","affiliations":[{"raw_affiliation_string":"School of Health Economic and Management, Nanjing University of Chinese Medicine , Nanjing 210023,","institution_ids":["https://openalex.org/I131434179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001018916","display_name":"Zhaoping Yan","orcid":"https://orcid.org/0000-0001-8198-5574"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoping Yan","raw_affiliation_strings":["School of Information Management, Nanjing University , Nanjing 210023,"],"raw_orcid":"https://orcid.org/0000-0001-8198-5574","affiliations":[{"raw_affiliation_string":"School of Information Management, Nanjing University , Nanjing 210023,","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031238620","display_name":"Xueliang Ma","orcid":"https://orcid.org/0000-0002-1238-2582"},"institutions":[{"id":"https://openalex.org/I4210125234","display_name":"National Library of China","ror":"https://ror.org/029wwt733","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210125234"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Ma","raw_affiliation_strings":["Department of Publication, National Library of China , Beijing 100081,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Publication, National Library of China , Beijing 100081,","institution_ids":["https://openalex.org/I4210125234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103050232","display_name":"Lei Pei","orcid":"https://orcid.org/0000-0003-4754-4112"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Pei","raw_affiliation_strings":["Laboratory of Data Intelligence and Cross Innovation, Nanjing University , Nanjing 210023,","School of Information Management, Nanjing University , Nanjing 210023,"],"raw_orcid":"https://orcid.org/0000-0003-4754-4112","affiliations":[{"raw_affiliation_string":"Laboratory of Data Intelligence and Cross Innovation, Nanjing University , Nanjing 210023,","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"School of Information Management, Nanjing University , Nanjing 210023,","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2522,"currency":"GBP","value_usd":3093},"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8718444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"40","issue":"3","first_page":"846","last_page":"862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9837999939918518,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9837999939918518,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9656000137329102,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9648000001907349,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49581822752952576},{"id":"https://openalex.org/keywords/digital-humanities","display_name":"Digital humanities","score":0.47855669260025024},{"id":"https://openalex.org/keywords/scholarship","display_name":"Scholarship","score":0.4395269751548767},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.43802231550216675},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43465182185173035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38756561279296875},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35707956552505493},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13109999895095825},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.12846362590789795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49581822752952576},{"id":"https://openalex.org/C24351657","wikidata":"https://www.wikidata.org/wiki/Q1026962","display_name":"Digital humanities","level":2,"score":0.47855669260025024},{"id":"https://openalex.org/C2778061430","wikidata":"https://www.wikidata.org/wiki/Q188823","display_name":"Scholarship","level":2,"score":0.4395269751548767},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.43802231550216675},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43465182185173035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38756561279296875},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35707956552505493},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13109999895095825},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12846362590789795},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/llc/fqaf043","is_oa":false,"landing_page_url":"https://doi.org/10.1093/llc/fqaf043","pdf_url":null,"source":{"id":"https://openalex.org/S2734814886","display_name":"Digital Scholarship in the Humanities","issn_l":"2055-7671","issn":["2055-7671","2055-768X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Scholarship in the Humanities","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5799999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W4394868593","https://openalex.org/W4401040072","https://openalex.org/W4402014077","https://openalex.org/W4403098592"],"related_works":["https://openalex.org/W2355650008","https://openalex.org/W4240762098","https://openalex.org/W1548588747","https://openalex.org/W4405262999","https://openalex.org/W2383304772","https://openalex.org/W2066005781","https://openalex.org/W2080540818","https://openalex.org/W2110621609","https://openalex.org/W230666287","https://openalex.org/W2260089286"],"abstract_inverted_index":{"Abstract":[0],"High-quality":[1],"domain":[2],"corpora":[3,116],"constitute":[4],"the":[5,14,33,63,82,93,118,159,175],"cornerstone":[6],"of":[7,38,65,84,98,128,177],"computational":[8,119],"humanities":[9,107,120,133,139],"research.":[10],"This":[11],"study":[12,80],"investigates":[13],"foundational":[15],"methodologies":[16,87],"and":[17,35,49,96,140,150,164,181],"optimization":[18,54],"strategies":[19],"that":[20],"leverage":[21],"large":[22,90],"language":[23,73],"models":[24,91],"(LLMs)":[25],"in":[26,117,132],"conjunction":[27],"with":[28],"prompt":[29,47,53,66,85],"engineering":[30,86],"to":[31,69],"facilitate":[32],"construction":[34],"in-depth":[36],"analysis":[37],"classical":[39,99],"text":[40],"corpora.":[41],"The":[42,79],"research":[43],"systematically":[44],"categorizes":[45],"prevalent":[46],"frameworks":[48],"presents":[50],"a":[51],"comprehensive":[52],"protocol,":[55],"delineating":[56],"common":[57],"chain-of-thought":[58],"enhancement":[59],"approaches.":[60],"It":[61],"examines":[62],"application":[64,97],"engineering-driven":[67],"LLMs":[68],"address":[70],"conventional":[71],"natural":[72],"processing":[74,95],"tasks":[75],"for":[76,92,113],"ancient":[77],"texts.":[78],"demonstrates":[81],"viability":[83],"based":[88],"on":[89,162],"intelligent":[94],"texts,":[100],"offering":[101],"relevant":[102],"Artificial":[103],"Intelligence":[104],"(AI)":[105],"digital":[106],"product":[108],"exemplars":[109],"as":[110],"efficacious":[111],"references":[112],"developing":[114],"high-caliber":[115],"domain.":[121],"Future":[122],"investigations":[123],"should":[124,155],"contemplate":[125],"further":[126],"exploration":[127],"AI":[129],"technology\u2019s":[130],"potential":[131],"scholarship,":[134],"fostering":[135],"interdisciplinary":[136],"collaboration":[137],"across":[138],"social":[141],"sciences":[142],"disciplines,":[143],"including":[144],"history,":[145],"literature,":[146],"philosophy,":[147],"computer":[148],"science,":[149],"information":[151],"science.":[152],"Ongoing":[153],"attention":[154],"be":[156],"directed":[157],"toward":[158],"technological":[160,172],"impact":[161],"promoting":[163],"preserving":[165],"exemplary":[166],"traditional":[167,178],"Chinese":[168],"culture,":[169],"ensuring":[170],"judicious":[171],"implementation":[173],"alongside":[174],"safeguarding":[176],"cultural":[179],"knowledge":[180],"values.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}