Knowledge Commons of Institute of Automation,CAS
Knowledge Mining: A Cross-disciplinary Survey | |
Yong Rui; Vicente Ivan Sanchez Carmona; Mohsen Pourvali; Yun Xing; Wei-Wen Yi; Hui-Bin Ruan; Yu Zhang | |
发表期刊 | Machine Intelligence Research
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ISSN | 2731-538X |
2022 | |
卷号 | 19期号:2页码:89-114 |
摘要 | Knowledge mining is a widely active research area across disciplines such as natural language processing (NLP), data mining (DM), and machine learning (ML). The overall objective of extracting knowledge from data source is to create a structured representation that allows researchers to better understand such data and operate upon it to build applications. Each mentioned discipline has come up with an ample body of research, proposing different methods that can be applied to different data types. A significant number of surveys have been carried out to summarize research works in each discipline. However, no survey has presented a cross-disciplinary review where traits from different fields were exposed to further stimulate research ideas and to try to build bridges among these fields. In this work, we present such a survey. |
关键词 | Knowledge mining knowledge extraction information extraction association rule interpretability |
DOI | 10.1007/s11633-022-1323-6 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/kHu5knclT85m-YbcCPFytA |
视频解析 | https://www.bilibili.com/video/BV14U4y117KJ/ |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55935 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | Lenovo Research, Beijing 100094, China |
推荐引用方式 GB/T 7714 | Yong Rui,Vicente Ivan Sanchez Carmona,Mohsen Pourvali,et al. Knowledge Mining: A Cross-disciplinary Survey[J]. Machine Intelligence Research,2022,19(2):89-114. |
APA | Yong Rui.,Vicente Ivan Sanchez Carmona.,Mohsen Pourvali.,Yun Xing.,Wei-Wen Yi.,...&Yu Zhang.(2022).Knowledge Mining: A Cross-disciplinary Survey.Machine Intelligence Research,19(2),89-114. |
MLA | Yong Rui,et al."Knowledge Mining: A Cross-disciplinary Survey".Machine Intelligence Research 19.2(2022):89-114. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
IJAC-2021-09-247.pdf(1635KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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