{"id":"https://openalex.org/W7125687043","doi":"https://doi.org/10.4108/eetsis.10245","title":"Research on the Application of Large Language Model in Data Integration","display_name":"Research on the Application of Large Language Model in Data Integration","publication_year":2026,"publication_date":"2026-01-26","ids":{"openalex":"https://openalex.org/W7125687043","doi":"https://doi.org/10.4108/eetsis.10245"},"language":null,"primary_location":{"id":"doi:10.4108/eetsis.10245","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetsis.10245","pdf_url":"https://publications.eai.eu/index.php/sis/article/download/10245/3876","source":{"id":"https://openalex.org/S4210240886","display_name":"ICST Transactions on Scalable Information Systems","issn_l":"2032-9407","issn":["2032-9407"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321145","host_organization_name":"European Alliance for Innovation","host_organization_lineage":["https://openalex.org/P4310321145"],"host_organization_lineage_names":["European Alliance for Innovation"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICST Transactions on Scalable Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://publications.eai.eu/index.php/sis/article/download/10245/3876","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhanfang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanfang Chen","raw_affiliation_strings":["Changchun University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan Ren","orcid":"https://orcid.org/0009-0005-6040-2938"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Ren","raw_affiliation_strings":["Changchun University of Science and Technology"],"raw_orcid":"https://orcid.org/0009-0005-6040-2938","affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122351313","display_name":"Xiaoming Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Jiang","raw_affiliation_strings":["Changchun University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078860934","display_name":"Ruipeng Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruipeng Qi","raw_affiliation_strings":["Changchun University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Science and Technology","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0631411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.21220000088214874,"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"}},"topics":[{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.21220000088214874,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.1454000025987625,"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/T10028","display_name":"Topic Modeling","score":0.12849999964237213,"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/metadata","display_name":"Metadata","score":0.6841999888420105},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.5005999803543091},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.46950000524520874},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.420199990272522},{"id":"https://openalex.org/keywords/metadata-modeling","display_name":"Metadata modeling","score":0.4043000042438507},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3912999927997589},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3603000044822693},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35280001163482666},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.3337000012397766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8306000232696533},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6841999888420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142999887466431},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.46950000524520874},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C110326360","wikidata":"https://www.wikidata.org/wiki/Q17149476","display_name":"Metadata modeling","level":4,"score":0.4043000042438507},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3603000044822693},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35040000081062317},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3479999899864197},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.3337000012397766},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.31060001254081726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3095000088214874},{"id":"https://openalex.org/C137314826","wikidata":"https://www.wikidata.org/wiki/Q2330408","display_name":"Data mapping","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2865000069141388},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.2824999988079071},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C153048206","wikidata":"https://www.wikidata.org/wiki/Q3454922","display_name":"Metadata repository","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4108/eetsis.10245","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetsis.10245","pdf_url":"https://publications.eai.eu/index.php/sis/article/download/10245/3876","source":{"id":"https://openalex.org/S4210240886","display_name":"ICST Transactions on Scalable Information Systems","issn_l":"2032-9407","issn":["2032-9407"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321145","host_organization_name":"European Alliance for Innovation","host_organization_lineage":["https://openalex.org/P4310321145"],"host_organization_lineage_names":["European Alliance for Innovation"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICST Transactions on Scalable Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4108/eetsis.10245","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetsis.10245","pdf_url":"https://publications.eai.eu/index.php/sis/article/download/10245/3876","source":{"id":"https://openalex.org/S4210240886","display_name":"ICST Transactions on Scalable Information Systems","issn_l":"2032-9407","issn":["2032-9407"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321145","host_organization_name":"European Alliance for Innovation","host_organization_lineage":["https://openalex.org/P4310321145"],"host_organization_lineage_names":["European Alliance for Innovation"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICST Transactions on Scalable Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5608476996421814}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7125687043.pdf","grobid_xml":"https://content.openalex.org/works/W7125687043.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"INTRODUCTION:":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs),":[4],"a":[5,60,77,100,110,118,123,139,163,169],"major":[6],"breakthrough":[7],"in":[8,18,24,57,228],"artificial":[9],"intelligence,":[10],"have":[11],"been":[12],"widely":[13],"applied":[14],"across":[15],"various":[16],"domains":[17],"recent":[19],"years.":[20],"Their":[21],"powerful":[22],"capabilities":[23],"language":[25,35],"comprehension":[26],"and":[27,46,122,132,145,152,219],"generation":[28,151],"enable":[29],"effective":[30],"handling":[31],"of":[32,54,63,79,94,141,155,223],"diverse":[33],"natural":[34],"processing":[36],"tasks,":[37,206],"such":[38],"as":[39,76,187],"text":[40],"generation,":[41],"question":[42],"answering,":[43],"machine":[44],"translation,":[45],"information":[47],"retrieval.":[48],"This":[49],"paper":[50],"investigates":[51],"the":[52,91,153,156,182,192,196,221,224],"application":[53],"LLM":[55],"technology":[56],"data":[58,64,74,95,106,204],"integration,":[59],"core":[61],"aspect":[62],"governance.":[65],"In":[66],"contrast":[67],"to":[68,127,190],"end-to-end":[69],"black-box":[70],"approaches,":[71],"we":[72,177],"reframe":[73],"integration":[75,193,205],"problem":[78,93],"discovering":[80],"interpretable":[81],"mapping":[82],"rules":[83,158],"through":[84],"symbolic":[85,112,119,184,225],"regression.OBJECTIVES:":[86],"We":[87,97],"begin":[88],"by":[89],"defining":[90],"fundamental":[92],"integration.":[96],"then":[98],"propose":[99],"general-purpose":[101],"large":[102],"model":[103,135,198],"framework":[104,116],"for":[105,149],"governance,":[107],"built":[108],"on":[109,162,201],"deep":[111],"regression":[113,226],"foundation.":[114],"The":[115,134,213],"comprises":[117],"expression":[120,150],"generator":[121],"metadata-enhanced":[124],"executor,":[125],"aiming":[126],"achieve":[128],"both":[129],"high":[130],"accuracy":[131],"interpretability.METHODS:":[133],"is":[136,159,199],"trained":[137],"using":[138],"combination":[140],"recurrent":[142],"neural":[143],"networks":[144],"reinforcement":[146],"learning":[147],"techniques,":[148],"execution":[154],"discovered":[157],"structured":[160],"based":[161],"Transformer":[164],"encoder":[165],"architecture":[166],"enhanced":[167],"with":[168,207],"dedicated":[170],"metadata":[171,179,189],"embedding":[172],"layer.":[173],"To":[174],"enhance":[175],"performance,":[176],"incorporate":[178],"fine-tuning,":[180],"where":[181],"generated":[183],"expressions":[185],"serve":[186],"key":[188],"guide":[191],"process.RESULTS:":[194],"Finally,":[195],"proposed":[197],"evaluated":[200],"two":[202],"representative":[203],"experimental":[208],"results":[209,214],"demonstrating":[210],"its":[211,216],"effectiveness.CONCLUSION:":[212],"validate":[215],"practical":[217],"quality":[218],"highlight":[220],"advantage":[222],"paradigm":[227],"enhancing":[229],"interpretability.":[230]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-01-27T00:00:00"}
