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A framework for constructing cognition ontologies using WordNet, FrameNet, and SUMO

机译:使用WordNet,FrameNet和SUMO构建认知本体的框架

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摘要

Psychoinformatics is an emerging discipline that uses tools from the information sciences to organize psychological data. This article supports that objective by proposing a framework for constructing cognition ontologies by using WordNet, FrameNet, and the Suggested Upper Merged Ontology (SUMO). The first section describes the major characteristics of each of these tools. WordNet is a large lexical data base that was begun in the 1980s by George Miller. FrameNet is a database of event schemas based on a theory of frame semantics developed by the linguist Charles Fillmore. SUMO is a formal ontology of concepts expressed in mathematical logic that supports deductive reasoning. The next section discusses the objectives of science ontologies and includes examples for psychoses and for emotion. The article then describes potential applications of cognition ontologies for (1) studying how people organize knowledge, (2) analyzing major theoretical concepts such as abstraction, and (3) formulating premises that can serve as a link between informal taxonomies and formal ontologies. The final section discusses extending cognition ontologies to related domains such as artificial intelligence and cognitive neuroscience.
机译:心理信息学是一门新兴学科,它使用信息科学中的工具来组织心理数据。本文通过提出一个使用WordNet,FrameNet和建议的高级合并本体(SUMO)构造认知本体的框架来支持该目标。第一部分描述了每种工具的主要特征。 WordNet是由乔治·米勒(George Miller)于1980年代创立的大型词汇数据库。 FrameNet是基于语言学家Charles Fillmore开发的框架语义理论的事件模式数据库。 SUMO是用数学逻辑表达的概念的正式本体,支持演绎推理。下一部分将讨论科学本体论的目标,并包括一些关于精神病和情感的例子。然后,本文介绍了认知本体在以下方面的潜在应用:(1)研究人们如何组织知识;(2)分析诸如抽象之类的主要理论概念;(3)提出可以用作非正式分类法和正式本体之间联系的前提。最后一部分讨论将认知本体论扩展到相关领域,例如人工智能和认知神经科学。

著录项

  • 来源
    《Cognitive Systems Research》 |2015年第3期|122-144|共23页
  • 作者

    Stephen K. Reed; Adam Pease;

  • 作者单位

    San Diego State University, United States,CSLI, Cordura Hall, 210 Panama Street, Stanford University, Stanford, CA 94305, United States,Center for the Study of Language and Information, Stanford University, United States;

    Articulate Software, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Attention; Cognition; Language; Ontology; Taxonomy;

    机译:注意;认识;语言;本体论;分类;

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