This paper brings forward an information retrieval method based on path learning that is used in a price information extracting system.
本文提出了一种基于路径学习的信息自动抽取方法，并采用该方法编制了一个商品价格信息自动抽取系统。
Based on rough sets and evidence combining theory, a general method of extracting the extension decision rules of probability information system is given.
使用粗糙集和证据合成理论中的方法，给出了获取概率信息系统的扩展决策规则集的一般方法。
This article is an exploration to biomedical question-answering system. This system is composed of three primary aspects: problem processing, information retrieving and answer extracting.
本文是对生物医学问答系统的一个探索，系统包括三个主要组成部分：问题处理、信息检索和答案抽取。
The problem of information hiding and extracting is studied in the perspective of system model in this paper.
本文从系统模型的角度研究了信息隐藏与检测的问题，提出了用参数估计理论来衡量信息提取算法的优劣。
Process mining aims at extracting information from event logs to capture the business process as it is being executed, and it is very convenient to design the Workflow management system.
过程挖掘的方法从已经发生的业务日志记录中提炼出工作流模型，能方便地设计工作流管理系统。
By extracting information from workflow traces, such as system log data, workflow mining aims to discover the actual behavior of a workflow process.
工作流挖掘抽取系统日志信息，挖掘流程的真实运作模型。
The GVG system is a new solution, with the conception of sampling lineage instead of the traditional sampling point or sampling area, to extracting crop acreage information.
线采样系统提出以线状样区代替以往成数抽样中的点样区与面积样区概念，通过统计线状样区内作物种植面积成数来反映区域总体农作物种植面积成数。
The GVG system is a new solution, with the conception of sampling lineage instead of the traditional sampling point or sampling area, to extracting crop acreage information.
线采样系统提出以线状样区代替以往成数抽样中的点样区与面积样区概念，通过统计线状样区内作物种植面积成数来反映区域总体农作物种植面积成数。
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