Reducing the Representation Complexity of Lattice-Based Taxonomies

机译：降低基于格的分类法的表示复杂度

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Representing concept lattices constructed from large contexts often results in heavy, complex diagrams that can be impractical to handle and, eventually, to make sense of. In this respect, many concepts could allegedly be dropped from the lattice without impairing its relevance towards a taxonomy description task at a certain level of detail. We propose a method where the notion of stability is introduced to select potentially more pertinent concepts. We present some theoretical properties of stability and discuss several use cases where taxonomy building is an issue.

机译：表示从大型上下文构建的概念格经常会导致沉重，复杂的图，这些图可能难以处理，最终也难以理解。在这方面，据称可以将许多概念从晶格中删除，而不会损害其与某个分类详细级别的分类描述任务的相关性。我们提出一种引入稳定性概念的方法，以选择可能更相关的概念。我们介绍了稳定性的一些理论属性，并讨论了建立分类法成为问题的几个用例。

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《International Conference on Conceptual Structures(ICCS 2007); 20070722-27; Sheffield(GB)》|2007年|P.241-254|共14页
会议地点 Sheffield(GB)
作者
Sergei Kuznetsov; Sergei Obiedkov; Camille Roth;
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作者单位

Department of Applied Mathematics, Higher School of Economics, Moscow, Russia;

Moscow Institute of Physics and Technology, Moscow, Russia;

European Center for Living Technology, Venice, Italy;

Department of Sociology, University of Surrey, Guildford, UK;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
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Reducing the Representation Complexity of Lattice-Based Taxonomies

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