PMML and UIMA based frameworks for deploying analytic applications and services

D. Ferrucci, R. Grossman, A. Levas
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引用次数: 1

Abstract

It is convenient to divide data into structured data, semi-structured data and unstructured data. By structured data, we mean data that is organized into fields or attributes. Examples include database records. Semi-structured data has attributes but does not have the regularity of structured data. Data defined by HTML or XML tags are examples of semi-structured data. Unstructured data lacks attributes or fields and includes text data, signals, images, video, audio or similar data. Of course, data may be a combination of one or more of these types. For example, the content of a message can be unstructured text and the metadata semi-structured XML tags.
用于部署分析应用程序和服务的基于PMML和UIMA的框架
将数据分为结构化数据、半结构化数据和非结构化数据是很方便的。通过结构化数据,我们指的是组织成字段或属性的数据。示例包括数据库记录。半结构化数据具有属性,但不具有结构化数据的规律性。由HTML或XML标记定义的数据是半结构化数据的例子。非结构化数据缺乏属性或字段,包括文本数据、信号、图像、视频、音频或类似数据。当然,数据可能是这些类型中的一种或多种的组合。例如,消息的内容可以是非结构化文本,元数据可以是半结构化XML标记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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