{"title":"地学文献知识发现技术研究与应用","authors":"Lv Pengfei, Wang Chunning","doi":"10.1109/INFOCT.2019.8711400","DOIUrl":null,"url":null,"abstract":"Based on the characteristics of geoscience literature, this paper designs a knowledge discovery technology framework, which consists of data preprocessing, relationship extraction and visual presentation. The main technical features are the use of dictionary-based maximum reverse matching word segmentation algorithm and the selection of the statistical language model based relationship extraction method. Finally, a distributed computing environment was built in the experiment, and the Mapping knowledge domain of the goldfield was constructed so that the feasibility of the technical framework was verified by experiments.","PeriodicalId":369231,"journal":{"name":"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)","volume":"700 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and Application on Geoscience Literature Knowledge Discovery Technology\",\"authors\":\"Lv Pengfei, Wang Chunning\",\"doi\":\"10.1109/INFOCT.2019.8711400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the characteristics of geoscience literature, this paper designs a knowledge discovery technology framework, which consists of data preprocessing, relationship extraction and visual presentation. The main technical features are the use of dictionary-based maximum reverse matching word segmentation algorithm and the selection of the statistical language model based relationship extraction method. Finally, a distributed computing environment was built in the experiment, and the Mapping knowledge domain of the goldfield was constructed so that the feasibility of the technical framework was verified by experiments.\",\"PeriodicalId\":369231,\"journal\":{\"name\":\"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)\",\"volume\":\"700 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOCT.2019.8711400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCT.2019.8711400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Application on Geoscience Literature Knowledge Discovery Technology
Based on the characteristics of geoscience literature, this paper designs a knowledge discovery technology framework, which consists of data preprocessing, relationship extraction and visual presentation. The main technical features are the use of dictionary-based maximum reverse matching word segmentation algorithm and the selection of the statistical language model based relationship extraction method. Finally, a distributed computing environment was built in the experiment, and the Mapping knowledge domain of the goldfield was constructed so that the feasibility of the technical framework was verified by experiments.
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