{"id":"https://openalex.org/W7118635538","doi":"https://doi.org/10.3390/fi18010032","title":"LECITE: LoRA-Enhanced and Consistency-Guided Iterative Knowledge Graph Construction","display_name":"LECITE: LoRA-Enhanced and Consistency-Guided Iterative Knowledge Graph Construction","publication_year":2026,"publication_date":"2026-01-06","ids":{"openalex":"https://openalex.org/W7118635538","doi":"https://doi.org/10.3390/fi18010032"},"language":"en","primary_location":{"id":"doi:10.3390/fi18010032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi18010032","pdf_url":"https://www.mdpi.com/1999-5903/18/1/32/pdf","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-5903/18/1/32/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122080016","display_name":"Donghao Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghao Xiao","raw_affiliation_strings":["School of Computer Engineering & Science, Shanghai University, Shanghai 200444, China"],"raw_orcid":"https://orcid.org/0009-0006-4874-9047","affiliations":[{"raw_affiliation_string":"School of Computer Engineering & Science, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055563435","display_name":"Quan QIAN","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quan Qian","raw_affiliation_strings":["Center of Materials Informatics and Data Science, Materials Genome Institute, Shanghai University, Shanghai 200444, China","Key Laboratory of Silicate Cultural Relics Conservation, Shanghai University, Ministry of Education, Shanghai 200444, China","School of Computer Engineering & Science, Shanghai University, Shanghai 200444, China"],"raw_orcid":"https://orcid.org/0000-0002-3020-005X","affiliations":[{"raw_affiliation_string":"Center of Materials Informatics and Data Science, Materials Genome Institute, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Key Laboratory of Silicate Cultural Relics Conservation, Shanghai University, Ministry of Education, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Computer Engineering & Science, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055563435"],"corresponding_institution_ids":["https://openalex.org/I113940042","https://openalex.org/I141962983"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03853233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"1","first_page":"32","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9483000040054321,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9483000040054321,"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":0.030799999833106995,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.00559999980032444,"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/adaptability","display_name":"Adaptability","score":0.6929000020027161},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5485000014305115},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.524399995803833},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5067999958992004},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4544999897480011},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43380001187324524},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4153999984264374},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3499000072479248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.858299970626831},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6929000020027161},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5485000014305115},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.524399995803833},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5067999958992004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46709999442100525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46470001339912415},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3260999917984009},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.30979999899864197},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/fi18010032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi18010032","pdf_url":"https://www.mdpi.com/1999-5903/18/1/32/pdf","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0896494a1fef4d3e871dc1e6cc1cbb66","is_oa":true,"landing_page_url":"https://doaj.org/article/0896494a1fef4d3e871dc1e6cc1cbb66","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Future Internet, Vol 18, Iss 1, p 32 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/fi18010032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi18010032","pdf_url":"https://www.mdpi.com/1999-5903/18/1/32/pdf","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1046737342","display_name":null,"funder_award_id":"2023YFB4606200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7118635538.pdf","grobid_xml":"https://content.openalex.org/works/W7118635538.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2397801432","https://openalex.org/W2509893387","https://openalex.org/W2798839675","https://openalex.org/W2908230750","https://openalex.org/W2950333738","https://openalex.org/W2962891712","https://openalex.org/W2963718112","https://openalex.org/W2996857645","https://openalex.org/W3003265726","https://openalex.org/W3034999214","https://openalex.org/W3091993229","https://openalex.org/W3176038554","https://openalex.org/W3201036746","https://openalex.org/W4221166835","https://openalex.org/W4385571451","https://openalex.org/W4385574107","https://openalex.org/W4386443326","https://openalex.org/W4391681328","https://openalex.org/W4404783226","https://openalex.org/W4408913040"],"related_works":[],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1,19],"(KGs)":[2],"offer":[3],"a":[4,79],"structured":[5],"and":[6,25,43,72,83,106,117,189],"collaborative":[7],"approach":[8],"to":[9,34,55,63,162,201],"integrating":[10,67],"diverse":[11],"knowledge":[12,18,46,103],"from":[13,93],"various":[14],"domains.":[15],"However,":[16],"constructing":[17],"typically":[20],"requires":[21],"significant":[22],"manual":[23],"effort":[24],"heavily":[26],"relies":[27],"on":[28,120],"pretrained":[29],"models,":[30],"limiting":[31],"their":[32],"adaptability":[33],"specific":[35],"sub-domains.":[36],"This":[37,97],"paper":[38],"proposes":[39],"an":[40,140],"innovative,":[41],"efficient,":[42],"locally":[44],"deployable":[45],"graph":[47,104],"construction":[48,105],"framework":[49],"that":[50],"leverages":[51],"low-rank":[52],"adaptation":[53],"(LoRA)":[54],"fine-tune":[56],"large":[57],"language":[58],"models":[59],"(LLMs)":[60],"in":[61],"order":[62],"reduce":[64],"noise.":[65],"By":[66],"iterative":[68],"optimization,":[69],"consistency-guided":[70],"filtering,":[71],"prompt-based":[73],"extraction,":[74],"the":[75,86,112,121,131,146,160,165,171,179,187,196,202],"proposed":[76],"method":[77,138],"achieves":[78],"balance":[80],"between":[81],"precision":[82],"coverage,":[84],"enabling":[85],"robust":[87],"extraction":[88],"of":[89,134,143,151,159,176,181,192,198],"standardized":[90],"subject\u2013predicate\u2013object":[91],"triples":[92,161],"raw":[94],"long":[95],"texts.":[96],"makes":[98],"it":[99],"highly":[100],"effective":[101],"for":[102],"downstream":[107],"reasoning":[108],"tasks.":[109],"We":[110],"applied":[111],"parameter-efficient":[113],"open-source":[114],"model":[115],"Qwen3-14B,":[116],"experimental":[118],"results":[119],"SciERC":[122],"dataset":[123],"show":[124],"that,":[125],"under":[126],"strict":[127],"matching":[128,133,155],"(i.e.,":[129],"ensuring":[130],"exact":[132],"all":[135],"components),":[136],"our":[137,182,193],"achieved":[139],"F1":[141,149,166,174],"score":[142,150,167,175],"0.358,":[144],"outperforming":[145,170],"baseline":[147,172],"model\u2019s":[148,173],"0.349.":[152],"Under":[153],"fuzzy":[154],"(allowing":[156],"some":[157],"parts":[158],"be":[163],"unmatched),":[164],"reached":[168],"0.447,":[169],"0.392,":[177],"demonstrating":[178],"effectiveness":[180],"approach.":[183],"Ablation":[184],"studies":[185],"validate":[186],"robustness":[188],"generalization":[190],"potential":[191],"method,":[194],"highlighting":[195],"contribution":[197],"each":[199],"component":[200],"overall":[203],"performance.":[204]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-01-08T00:00:00"}
