Towards Purpose Driven Content Interaction Modeling and Processing based on DIKW

Yue Huang, Yucong Duan
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引用次数: 7

Abstract

In this information and regularization era, people will encounter a variety of forms in their daily life and office, such as online shopping to fill in the recipient information, travel to fill in the epidemic prevention information and so on. People classify these as content filling problems. In the face of these forms, there are many problems, such as repeated filling, error, troublesome, leakage of information and so on. However, existing automatic filling technology often only stays at the level of data or information migration, which is difficult to deal with the above problems. Moreover, it does not analyze purpose of the preparer and the form in the filling process. This is easy to produce filling behavior contrary to purpose of the preparer. Aiming at this kind of problem, we proposes a content filling data, information, knowledge and purpose(DIKP) modeling method. This method transforms the contents of preparer and form into data, information, knowledge and purpose, and establishes DIKP system. Then, driven by the purpose of the preparer, we fully analyze and calculate the DIKP systems of preparer and form. We judge and grade the filling value. We fill the content through the methods such as comparison of purpose, reducing uncertainty, fuzzy transmission and content verification to achieve intelligence and rationality.
基于DIKW的目的驱动内容交互建模与处理
在这个信息化、正规化的时代,人们在日常生活和办公中会遇到各种各样的形式,比如网上购物填写收件人信息,外出旅游填写防疫信息等等。人们将这些归类为内容填充问题。面对这些表格,存在着重复填写、错误、麻烦、信息泄露等诸多问题。然而,现有的自动填充技术往往只停留在数据或信息迁移的层面,难以解决上述问题。而且,在填写过程中,也没有分析编写者和表格的目的。这很容易产生与制备剂用途相反的填充行为。针对这类问题,我们提出了一种内容填充数据、信息、知识和目的(DIKP)建模方法。该方法将编制表的内容转化为数据、信息、知识和目的,建立DIKP体系。然后,以制备器的用途为驱动,对制备器的DIKP系统进行了充分的分析和计算,并形成了DIKP系统。我们判断和分级填充价值。通过目的比对、减少不确定性、模糊传递、内容验证等方法填充内容,达到智能化、合理性。
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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