Understanding geological reports based on knowledge graphs using a deep learning approach

Computers & Geosciences - Tập 168 - Trang 105229 - 2022
Bin Wang1, Liang Wu2, Zhong Xie2, Qinjun Qiu2, Yuan Zhou3, Kai Ma4, Liufeng Tao2
1School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
2School of Computer Sciences, China University of Geosciences, Wuhan, 430074, China
3National Engineering Research Center of Geographic Information System, Wuhan, 430074, China
4College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China

Tài liệu tham khảo

Bekoulis, 2018, Joint entity recognition and relation extraction as a multi-head selection problem, Expert Syst. Appl., 114, 34, 10.1016/j.eswa.2018.07.032 Consoli, 2020, Embeddings for named entity recognition in geoscience Portuguese literature, 4625 Deng, 2021, GAKG: a multimodal geoscience academic knowledge graph, 4445 Enkhsaikhan, 2021, Understanding ore-forming conditions using machine reading of text, Ore Geol. Rev., 10.1016/j.oregeorev.2021.104200 Enkhsaikhan, 2021, Auto-labelling entities in low-resource text: a geological case study, Knowl. Inf. Syst., 63, 695, 10.1007/s10115-020-01532-6 Fan, 2020, Deep learning-based named entity recognition and knowledge graph construction for geological hazards, ISPRS Int. J. Geo-Inf., 9, 15, 10.3390/ijgi9010015 Fensel, 2020, Introduction: what is a knowledge graph?, 1 Gupta, 2019, Neural relation extraction within and across sentence boundaries, 6513 He, 2020, End-to-end relation extraction based on bootstrapped multi-level distant supervision, World Wide Web, 23, 2933, 10.1007/s11280-020-00816-9 Huang, 2021, Research on a geological entity relation extraction model for gold mine based on BERT, J. Geomechanics, 27, 391 Jianping, 2016, Quantitative geoscience and geological big data development: a review, Acta Geologica Sinica‐English Edition, 90, 1490, 10.1111/1755-6724.12782 Jyothi, 2008, Knowledge extraction using rule based decision tree approach, IJCSNS, 8, 296 Li, 2013, A relation extraction method of Chinese named entities based on location and semantic features, Appl. Intell., 38, 1, 10.1007/s10489-012-0353-0 Li, 2014, Incremental joint extraction of entity mentions and relations, vol. 1, 402 Li, 2021, Keyword extraction method for machine reading comprehension based on natural language processing Li, 2004, An SVM based learning algorithm for information extraction, Mach. Learn., 1 Liang, 2021, A review on sustainable development of geological exploration technology and risk management, Recent Pat. Eng., 15, 45, 10.2174/1872212114999200427075603 Liu, 2019 Liu, 2018 Lun, 2021, Extracting knowledge with NLP from massive geological documents, 1 Luo, 2017, Attention-based relation extraction with bidirectional gated recurrent unit and highway network in the analysis of geological data, IEEE Access, 6, 5705, 10.1109/ACCESS.2017.2785229 Ma, 2021 McManus, 2021, Uncertainty assessment of spatial domain models in early stage mining projects–a review, Ore Geol. Rev., 133, 10.1016/j.oregeorev.2021.104098 Minard, 2011, Multi-class SVM for relation extraction from clinical reports Paulheim, 2017, Knowledge graph refinement: a survey of approaches and evaluation methods, Semantic Web, 8, 489, 10.3233/SW-160218 Qin, 2021, Relation extraction with word graphs from N-grams, 2860 Qiu, 2019, BiLSTM-CRF for geological named entity recognition from the geoscience literature, Earth Science Informatics, 12, 565, 10.1007/s12145-019-00390-3 Qiu, 2021, GKEEP: an enhanced graph‐based keyword extractor with error‐feedback propagation for geoscience reports, Earth Space Sci., 8, 10.1029/2020EA001602 Qun, 2021, Construction of deposit model-oriented knowledge graph Ravikumar, 2017, BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences, Database, 2017, 10.1093/database/baw156 Sari, 2010, Rule-based pattern extractor and named entity recognition: a hybrid approach, 563 Shi, 2018, Prospecting information extraction by text mining based on convolutional neural networks–a case study of the Lala copper deposit, China, IEEE Access, 6, 52286, 10.1109/ACCESS.2018.2870203 Singh, 2013, Joint inference of entities, relations, and coreference, 1 Sobhana, 2010, Conditional random field based named entity recognition in geological text, Int. J. Comput. Appl., 1, 143 Sui, 2020 Wan, 2019, BiLSTM-CRF Chinese named entity recognition model with attention mechanism Wang, 2021, A semi-automatic approach for generating geological profiles by integrating multi-source data, Ore Geol. Rev. Wang, 2021, The Deep-Time Digital Earth program: data-driven discovery in geosciences, Natl. Sci. Rev., 8, 10.1093/nsr/nwab027 Wang, 2018, Information extraction and knowledge graph construction from geoscience literature, Comput. Geosci., 112, 112, 10.1016/j.cageo.2017.12.007 Wang, 2018, Development of keyword extraction algorithm for geoscience unstructured document based on big data, Prog. Geophys., 33, 1274 Wang, 2020 Wang, 2021, BIRL: bidirectional-interaction reinforcement learning framework for joint relation and entity extraction, 483 Wei, 2021, Research on content storage method of unstructured geological data, Northwest. Geol., 54, 266 Wei, 2014, Organizing and storing method for large-scale unstructured data set with complex content, 70 Wei, 2019 Yang, 2013, Joint inference for fine-grained opinion extraction, vol. 1, 1640 Yu, 2019 Zhang, 2017, End-to-end neural relation extraction with global optimization, 1730 Zhang, 2022 Zhao, 2021, An improved TextRank multi-feature fusion algorithm for keyword extraction of educational resources Zhao, 2011, Geological exploration theory for large oil and gas provinces and its significance, Petrol. Explor. Dev., 38, 513, 10.1016/S1876-3804(11)60051-7 Zheng, 2017 Zhou, 2021, Prospects for the research on geoscience knowledge graph in the Big Data Era, Sci. China Earth Sci., 1 Zhu, 2005, 2d conditional random fields for web information extraction, 1044