首页> 外文会议>International Conference on Formal Concept Analysis >Mathematics and Science Faculty, Darmstadt University of Applied Sciences, Schoefferstr. 3, D-64295 Darmstadt, Germany
【24h】

Mathematics and Science Faculty, Darmstadt University of Applied Sciences, Schoefferstr. 3, D-64295 Darmstadt, Germany

机译:达姆施塔特达姆施塔特大学数学与科学教师,Schoefferstr。 3,D-64295达姆施塔特,德国

获取原文

摘要

The development of a mathematical model for judgments understood as compositions of concepts and relations has been an important branch of research in recent years. It led to the definitions of concept and protoconcept graphs which are based on information contained in a power context family, where incidence relations between objects (or tuples of objects) and attributes are stored. A theory of the information those graphs represent (called conceptual content) has been developed for concept graphs in [PW99] and [Wi03]. In [HK04], an extension of this theory to protoconcept graphs not considering object implications (as it is done for concept graphs) has been established. The first part of this paper concentrates on the investigation of the protoconceptual content of protoconcept graphs respecting both protoconceptual and object implications. The second part compares the different structures of conceptual and protoconceptual contents of a given power context family, showing how more background information (using object implications and concepts instead of protoconcepts) reduces the number of possible contents. The third and final part analyzes how the different approaches can be generalized. Here we will concentrate on the (generalized) conceptual content of a formal context.
机译:作为概念与关系组成的判断数学模型的发展是近年来研究的重要分支。它导致了基于电源上下文系列中包含的信息的概念和原始组成图的定义,其中存储对象(或对象的元组)和属性之间的发生率关系。信息的理论是在[PW99]和[Wi03]中的概念图表中为概念图开发了(称为概念内容)。在[HK04]中,该理论的扩展到未考虑对象影响(因为它为概念图形而完成)。本文的第一部分专注于对尊重ProtoConcept图的原始关卡含量的调查,旨在尊重ProtoConceptual和对象含义。第二部分比较给定的电脑上下文系列的概念和原始内容的不同结构,示出了更多的背景信息(使用对象含义和概念而不是ProtoConcepts)减少了可能内容的数量。第三部分和最终部分分析了如何概括不同方法。在这里,我们将专注于正式背景的(广义)概念内容。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号