{"id":"https://openalex.org/W4407405944","doi":"https://doi.org/10.3390/ijgi14020079","title":"Fine-Tuning LLM-Assisted Chinese Disaster Geospatial Intelligence Extraction and Case Studies","display_name":"Fine-Tuning LLM-Assisted Chinese Disaster Geospatial Intelligence Extraction and Case Studies","publication_year":2025,"publication_date":"2025-02-11","ids":{"openalex":"https://openalex.org/W4407405944","doi":"https://doi.org/10.3390/ijgi14020079"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi14020079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14020079","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/ijgi14020079","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101043567","display_name":"Yaoyao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]},{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoyao Han","raw_affiliation_strings":["Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China","School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109448683","display_name":"Jiping Liu","orcid":"https://orcid.org/0000-0001-9275-3250"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiping Liu","raw_affiliation_strings":["Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101958177","display_name":"An Luo","orcid":"https://orcid.org/0009-0007-8563-414X"},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Luo","raw_affiliation_strings":["Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003772341","display_name":"Yong Wang","orcid":"https://orcid.org/0009-0005-6556-3669"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]},{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Wang","raw_affiliation_strings":["Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China","School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]},{"raw_affiliation_string":"School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Huainan 232001, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041677073","display_name":"Shuai Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114963","display_name":"Chinese Academy of Surveying and Mapping","ror":"https://ror.org/02j693n47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114963"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Bao","raw_affiliation_strings":["Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Geospatial Big Data Application, Chinese Academy of Surveying and Mapping, Beijing 100830, China","institution_ids":["https://openalex.org/I4210114963"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003772341"],"corresponding_institution_ids":["https://openalex.org/I184681353","https://openalex.org/I4210114963"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":19.6643,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9914562,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"2","first_page":"79","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9732999801635742,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9732999801635742,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.8534315824508667},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6049857139587402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5284212231636047},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.23945406079292297},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2178746461868286},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21773961186408997},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09676313400268555}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8534315824508667},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6049857139587402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5284212231636047},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.23945406079292297},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2178746461868286},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21773961186408997},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09676313400268555}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi14020079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14020079","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4f2f37d10450431c88a66aba37400c6f","is_oa":false,"landing_page_url":"https://doaj.org/article/4f2f37d10450431c88a66aba37400c6f","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 14, Iss 2, p 79 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi14020079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14020079","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W951542008","https://openalex.org/W1971684103","https://openalex.org/W2008654787","https://openalex.org/W2123661878","https://openalex.org/W2152267651","https://openalex.org/W2298612130","https://openalex.org/W2509975558","https://openalex.org/W2612387313","https://openalex.org/W2789450355","https://openalex.org/W2798683079","https://openalex.org/W2918408501","https://openalex.org/W2918482792","https://openalex.org/W2946885273","https://openalex.org/W2972868565","https://openalex.org/W3022555805","https://openalex.org/W3032691658","https://openalex.org/W3033811851","https://openalex.org/W3039984117","https://openalex.org/W3045468501","https://openalex.org/W3081020939","https://openalex.org/W3082568005","https://openalex.org/W3087189199","https://openalex.org/W3175294292","https://openalex.org/W3185988473","https://openalex.org/W3190730109","https://openalex.org/W4206055879","https://openalex.org/W4223986678","https://openalex.org/W4225887541","https://openalex.org/W4256102386","https://openalex.org/W4280596951","https://openalex.org/W4297347697","https://openalex.org/W4306377771","https://openalex.org/W4310197903","https://openalex.org/W4312947916","https://openalex.org/W4317505541","https://openalex.org/W4320024265","https://openalex.org/W4360952112","https://openalex.org/W4386917649","https://openalex.org/W4387460165","https://openalex.org/W4391232619","https://openalex.org/W4394878284","https://openalex.org/W4396844317","https://openalex.org/W4396888196","https://openalex.org/W4402667093","https://openalex.org/W4402683907","https://openalex.org/W4405036959","https://openalex.org/W4407284831","https://openalex.org/W6774042659","https://openalex.org/W6797740457","https://openalex.org/W6837789219","https://openalex.org/W6855116985","https://openalex.org/W6868595571","https://openalex.org/W7025011225"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4367313141","https://openalex.org/W4283374591","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W2910751785","https://openalex.org/W4390100400"],"abstract_inverted_index":{"The":[0],"extraction":[1,74,124],"of":[2,69,119,125,201,218,229],"disaster":[3,20,37,72,94,126,193,231,240],"geospatial":[4],"intelligence":[5,73,121],"(DGI)":[6],"from":[7,130],"social":[8,133],"media":[9,134],"data":[10],"with":[11,31,163],"spatiotemporal":[12,215],"attributes":[13,129],"plays":[14],"a":[15,87,110,187],"crucial":[16],"role":[17],"in":[18,41,71,174,203],"real-time":[19],"monitoring":[21,232],"and":[22,34,59,75,123,140,151,170,184,199,233,242],"emergency":[23,234],"decision-making.":[24,244],"However,":[25],"conventional":[26],"machine":[27],"learning":[28,61],"approaches":[29],"struggle":[30],"semantic":[32,57,138],"complexity":[33],"limited":[35],"Chinese":[36,107,132,188],"corpus.":[38],"Recent":[39],"advancements":[40],"large":[42],"language":[43],"models":[44,147],"(LLMs)":[45],"offer":[46],"new":[47],"opportunities":[48],"to":[49,54,104,145,158,195,212],"overcome":[50],"these":[51],"challenges":[52],"due":[53],"their":[55],"enhanced":[56],"comprehension":[58],"multi-task":[60],"capabilities.":[62],"This":[63,224],"study":[64,225],"investigates":[65],"the":[66,153,164,171,197,207,214,219,227],"potential":[67],"application":[68,200],"LLMs":[70,108,202],"proposes":[76],"an":[77],"efficient,":[78],"scalable":[79],"method":[80,97,155,209],"for":[81,239],"multi-hazard":[82,120],"DGI":[83],"extraction.":[84],"Building":[85],"upon":[86],"unified":[88,137],"ontological":[89],"framework":[90],"encompassing":[91],"core":[92],"natural":[93,230],"elements,":[95],"this":[96,204],"employs":[98],"parameter-efficient":[99],"low-rank":[100],"adaptation":[101],"(LoRA)":[102],"fine-tuning":[103],"optimize":[105],"open-source":[106],"using":[109],"meticulously":[111],"curated":[112],"instruction-tuning":[113,189],"dataset.":[114],"It":[115],"achieves":[116],"simultaneous":[117],"identification":[118],"cues":[122],"spatial":[127],"entity":[128],"unstructured":[131],"texts":[135],"through":[136],"parsing":[139],"structured":[141,175],"knowledge":[142],"mapping.":[143],"Compared":[144],"pre-trained":[146],"such":[148],"as":[149],"BERT":[150],"ERNIE,":[152],"proposed":[154,208],"was":[156,210],"shown":[157],"achieve":[159],"state-of-the-art":[160],"evaluation":[161],"results,":[162],"highest":[165],"recognition":[166],"accuracy":[167],"(F1-score:":[168],"0.9714)":[169],"best":[172],"performance":[173],"information":[176],"generation":[177],"(BLEU-4":[178],"score:":[179],"92.9649).":[180],"Furthermore,":[181],"we":[182],"developed":[183],"released":[185],"DGI-Corpus,":[186],"dataset":[190],"covering":[191],"various":[192],"types,":[194],"support":[196,238],"research":[198],"field.":[205],"Lastly,":[206],"applied":[211],"analyze":[213],"evolution":[216],"patterns":[217],"Zhengzhou":[220],"\u201c7.20\u201d":[221],"flood":[222],"disaster.":[223],"enhances":[226],"efficiency":[228],"management,":[235],"offering":[236],"technical":[237],"response":[241],"mitigation":[243]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8}],"updated_date":"2026-06-28T08:01:55.173337","created_date":"2025-10-10T00:00:00"}