{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T18:48:24Z","timestamp":1769712504983,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,29]]},"DOI":"10.1145\/3778265.3778275","type":"proceedings-article","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T07:25:21Z","timestamp":1769671521000},"page":"69-78","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["LLM-powered Document Analysis and Application in Natural Resources"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-3604-8586","authenticated-orcid":false,"given":"Fanrong","family":"Meng","sequence":"first","affiliation":[{"name":"Information Center of the Ministry of Natural Resources, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3547-5633","authenticated-orcid":false,"given":"Xiaowei","family":"Liu","sequence":"additional","affiliation":[{"name":"Information Center of the Ministry of Natural Resources, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5789-9554","authenticated-orcid":false,"given":"Fan","family":"Yang","sequence":"additional","affiliation":[{"name":"Information Center of the Ministry of Natural Resources, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7227-4836","authenticated-orcid":false,"given":"Yike","family":"Guo","sequence":"additional","affiliation":[{"name":"Information Center of the Ministry of Natural Resources, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8060-1071","authenticated-orcid":false,"given":"Fei","family":"Xiao","sequence":"additional","affiliation":[{"name":"Information Center of the Ministry of Natural Resources, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2026,1,28]]},"reference":[{"key":"e_1_3_3_1_1_2","unstructured":"The State Council. 2022. Guidelines of the State Council on Strengthening the Construction of Digital Government. Natural Resources Communications (12) 11-17."},{"key":"e_1_3_3_1_2_2","volume-title":"Enhancing Administrative Efficiency, and Facilitating the Efficient Completion of \u201cGet one thing done efficiently\u201d.","author":"The State Council","year":"2024","unstructured":"The State Council. 2024. Guidelines of the State Council on Further Optimizing Government Services, Enhancing Administrative Efficiency, and Facilitating the Efficient Completion of \u201cGet one thing done efficiently\u201d. Jan 2024. https:\/\/www.gov.cn\/zhengce\/zhengceku\/202401\/content_6926256.htm"},{"key":"e_1_3_3_1_3_2","unstructured":"Ministry of Natural Resources. 2024. Overall Plan for Enhancing the Digital Governance Capabilities of Natural Resources. https:\/\/gi.mnr.gov.cn\/202402\/t20240208_2837546.html"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.2095-1329.2024.02.017]"},{"issue":"6","key":"e_1_3_3_1_5_2","first-page":"54","article-title":"Research on the framework and typical scenarios of large language model construction in the natural resources industry[J]","volume":"2024","author":"XIAO F, WU H T, GUO W H","year":"2024","unstructured":"XIAO F, WU H T, GUO W H, et al. 2024. Research on the framework and typical scenarios of large language model construction in the natural resources industry[J]. Natural Resources Informatization, 2024(6): 54-62.","journal-title":"Natural Resources Informatization"},{"key":"e_1_3_3_1_6_2","volume-title":"May, 2022. GEOMATICS & SPATIAL INFORMATION TECHNOLOGY","volume":"45","author":"Lili PENG","year":"2022","unstructured":"PENG Lili, WANG Yan, YANG Ailing. 2022. The Construction of Construction Land Examination and Approval System in Chifeng City Based on GIS Technology. May, 2022. GEOMATICS & SPATIAL INFORMATION TECHNOLOGY Vol.45, No.5"},{"key":"e_1_3_3_1_7_2","unstructured":"LI Lei YANG Jin YU Hai-yang. Design and Application of Land Management and Decision Support System for Construction Land Approval in Guangdong Province."},{"key":"e_1_3_3_1_8_2","volume-title":"Design and Implementation of Cloud Platform for Natural Resource Service and Supervision Based on GIS","author":"Xiaojuan HUANG","year":"2025","unstructured":"HUANG Xiaojuan, YAN Weiliang, ZHANG Xingzhong. Design and Implementation of Cloud Platform for Natural Resource Service and Supervision Based on GIS. Feb., 2025. GEOMATICS & SPATIAL INFORMATION TECHNOLOGY, Vol.48, No.2"},{"key":"e_1_3_3_1_9_2","volume-title":"Research on the Application of GIS Technology in Natural Resource Monitoring and Management","author":"Yilong ZHANG","year":"2024","unstructured":"ZHANG Yilong. 2024. Research on the Application of GIS Technology in Natural Resource Monitoring and Management. Jul. , 2024. GEOMATICS & SPATIAL INFORMATION TECHNOLOGY, Vol. 47, No. 7."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Li D R Guo H N. Seven principles for the application of artificial intelligence in remote sensing interpretation. National Remote Sensing Bulletin 29(3):579-583[DOI:10.11834\/jrs.20254568]","DOI":"10.11834\/jrs.20254568]"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"WU Huayi SHEN Zhangxiao HOU Shuyang et al. Large language model-driven GIS analysis: methods applications and prospects[J]. Acta Geodaetica et Cartographica Sinica 2025 54(4):621-635. DOI:10.11947\/j.AGCS.2025.20240468.","DOI":"10.11947\/j.AGCS.2025.20240468"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.12082\/dqxxkx.2025.240657;"},{"key":"e_1_3_3_1_14_2","volume-title":"May, 2022.","volume":"42","author":"Mingliang Tan","year":"2022","unstructured":"Tan Mingliang, Tang Xiaobo. 2022. A Chronic Disease Intelligent Service Model Driven By Textual Big Data and Domain Knowledge. May, 2022. Vol. 42 No. 5"},{"issue":"4","key":"e_1_3_3_1_15_2","first-page":"2023","article-title":"Quantitative evaluation of the regulatory policy texts of use of healthcare security funds in China based on PMC index model","author":"Zhiguo ZHANG","year":"2023","unstructured":"ZHANG Zhiguo, XIANG Chen. 2023. Quantitative evaluation of the regulatory policy texts of use of healthcare security funds in China based on PMC index model. Social Security Studies, No.4 2023.","journal-title":"Social Security Studies"},{"key":"e_1_3_3_1_16_2","volume-title":"Med Educ Manag","volume":"10","author":"Zhenzhen Wang","year":"2024","unstructured":"Wang Zhenzhen, Xiangbazhuoma, Zhao Yansong, et al. 2024. Application of ChatGPT as a large-scale language model in medical teaching. Med Educ Manag 2024, Vol. 10, No. 6."},{"key":"e_1_3_3_1_17_2","volume-title":"May, 2022. China Internet Weekly","author":"Hu Dan","year":"2022","unstructured":"Dan Hu. 2022. Analysis of Big Data Mining Methods in Financial Texts. May, 2022. China Internet Weekly"},{"key":"e_1_3_3_1_18_2","volume-title":"Modern Business Trade Industry","author":"Peng Ling","year":"2025","unstructured":"Ling Peng, Fen Liu, Cuicui Cao. Analysis of E-commerce Positions and Key Competencies Based on Big Data Text Mining. Modern Business Trade Industry, 2025 No. 6. [DOI:10. 19311 \/ j. cnki. 1672-3198. 2025. 09. 019]"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.16251\/j.cnki"},{"key":"e_1_3_3_1_20_2","volume-title":"\u201cTuring Test","author":"Fu Chengzhe","year":"2025","unstructured":"Chengzhe Fu, Tingyang Mo, Chunuan Wang. Evaluating the Effectiveness of Generative Artificial Intelligence in Government Responses: An Empirical Study on Government Bulletin Board Replies Based on the \u201cTuring Test\u201d and Text Analysis[J\/OL]. https:\/\/link.cnki.net\/urlid\/11.5181.TP.20250515.0915.008"},{"key":"e_1_3_3_1_21_2","unstructured":"CAO Jing CHEN Kang QI Ning et al. 2023. Auto-Checking Stamped Document Image Based on OCR and Image Detection. Nov. 2023. JOURNAL OF APPLIED SCIENCES \u2014 Electronics and Information Engineering Vol. 41 No. 6"},{"key":"e_1_3_3_1_22_2","unstructured":"Wang B Xu C Zhao X et al. 2024. MinerU: An Open-Source Solution for Precise Document Content Extraction[J]."},{"key":"e_1_3_3_1_23_2","unstructured":"Wayne Xin Zhao Kun Zhou Junyi Li et al. 2023. A Survey of Large Language Models. Apr 2023. ."},{"key":"e_1_3_3_1_24_2","unstructured":"Qwen Team. Qwen3 Technical Report. May 2025."},{"key":"e_1_3_3_1_25_2","volume-title":"DeepRAG: Thinking to Retrieve Step by Step for Large Language Models","author":"Guan Xinyan","year":"2025","unstructured":"Xinyan Guan, Jiali Zeng, Fandong Meng, et al. DeepRAG: Thinking to Retrieve Step by Step for Large Language Models. Jun 2025."},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2210.03629"}],"event":{"name":"BDSIC 2025: 2025 7th International Conference on Big-data Service and Intelligent Computation","location":"Bangkok Thailand","acronym":"BDSIC 2025"},"container-title":["Proceedings of the 2025 7th International Conference on Big-data Service and Intelligent Computation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3778265.3778275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T07:25:22Z","timestamp":1769671522000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3778265.3778275"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,29]]},"references-count":26,"alternative-id":["10.1145\/3778265.3778275","10.1145\/3778265"],"URL":"https:\/\/doi.org\/10.1145\/3778265.3778275","relation":{},"subject":[],"published":{"date-parts":[[2025,10,29]]},"assertion":[{"value":"2026-01-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}