计算机科学
分析
对话框
知识图
绘图(图形)
图形
背景(考古学)
数据分析
解析
数据科学
万维网
数据挖掘
自然语言处理
人工智能
理论计算机科学
古生物学
统计
数学
生物
作者
Matthew Dupree,Min Jian Yang,Yueling Jenny Zeng,Li-C. Wang
标识
DOI:10.1109/itc51656.2023.00028
摘要
This paper presents key ideas behind IEA-Plot, a software framework designed to conduct test data analytics through chat. We use wafer-based data analytics as an application example to discuss the ideas. IEA-plot interacts with a user through a dialog and produces plots according to user instructions. At the core of IEA-Plot is a knowledge graph connecting a frontend natural language parser to a backend API. This knowledge graph captures our analytics knowledge in the specific context. Usage examples are presented based on test data collected from a recent production line.
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