知识表征研究

王志娟; 彭宣维

知识表征研究—过往与前瞻

王志娟¹,
彭宣维²

1.
首都师范大学大学英语教研部，北京 100048
2.
深圳大学外国语学院，广东深圳 518060

基金项目: 首都师范大学2021年本科教学建设与改革项目——基于系统功能语言学的理工科学术英语写作教学模式研究。

详细信息

作者简介:
王志娟（1990−），女，河北邯郸人，首都师范大学大学英语教研部讲师，博士

彭宣维（1963−），男，四川通江人，深圳大学外国语学院教授，博士生导师，通讯作者

中图分类号: H315
计量
- 文章访问数: 630
- HTML全文浏览量: 357
- PDF下载量: 67
- 被引次数: 0
出版历程
- 收稿日期: 2021-01-06
- 网络出版日期: 2021-09-13
- 刊出日期: 2021-10-25

Knowledge Representation: Past Review and Present Prospect

WANG Zhi-juan¹,
PENG Xuan-wei²

1.
College English Department, Capital Normal University, Beijing 100048, China
2.
School of Foreign Languages, Shenzhen University, Shenzhen 518060, China

摘要

摘要: 知识及其表征是各学科领域的热点议题。迄今，人们基于不同理论和视角提出了众多的知识表征方法。文章首先概述知识的定义和分类；重点梳理认知心理学、教育、知识管理、人工智能、语言学等学科领域主要的知识表征方法，包括如命题符号理论、知觉符号理论、Novak的概念地图模型、经典逻辑表示法、描述逻辑表示法、Sowa的概念图符模型、学科知识的语言表征法等；最后指出，未来的知识表征研究须强化学科知识表征、表征系统的多符号性及其功能。
- 知识 /
- 表征 /
- 学科 /
- 符号学 /
- 功能
Abstract: Knowledge and knowledge representation is a hot issue in various disciplines. For this purpose, researchers have to date proposed numerous methods grounded in different theories and from alternative perspectives. The paper begins with a systematic overview of definitions and classifications of knowledge. Then it focuses on reviewing representative approaches, such as Propositional Symbol System, Perceptual Symbol System, Novak’s Concept Maps, classic logics, description logics, Sowa’s Conceptual Graph, method of language representation for disciplinary knowledge, among other in such areas of cognitive psychology, education, knowledge management, artificial intelligence and linguistics. The paper finally points out that the future research of knowledge representation should be strengthened in terms of disciplinary knowledge representation, multi-semiotic nature and functions of representing systems.
- knowledge /
- representation /
- discipline /
- semiotics /
- function

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