基于皮尔斯符号三元模型的本体论概念化:定性内容分析

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
K. Moradi
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引用次数: 1

摘要

目的本研究旨在基于Pierce的三元符号模型识别客体解释中的有效成分,以确定意义是如何产生的,并识别本体中影响概念化的成分。设计/方法/方法采用定性方法,对构成研究人群的五个群体的Instagram页面上发布的6320条评论进行定性内容分析。概念是动态的和面向上下文的。随着时间的推移,一个人对一个物体的概念和思维模式会被改变或消除。社会、政治和经济条件、治理、技术、互动、语言、环境、文化和社会习惯有助于对对象的解释和意义的创造。在本体设计中,特别是在上下文依赖领域,应注意用户的心理成见、心理模式、语境和个人特征。研究人员可以使用视觉和多媒体符号代替文字。在本体设计中,除了考虑逻辑学、统计学和计算机科学之外,还应考虑个人特征和人类学特征。原创性/价值本研究涉及概念化,这是本体论的主要组成部分。利用Pierce的三元模型符号和Instagram的非结构化数据,从用户和实用的角度研究本体,独立于技术方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conceptualization in ontology based on Peirce’s triadic model of the sign: a qualitative content analysis
Purpose This study aims to identify the effective components in object interpretation based on Pierce’s triadic sign model to determine how meaning is created and identify the components affecting conceptualization in ontology. Design/methodology/approach A qualitative approach was adopted, and 6320 comments posted on the Instagram pages of five groups forming the research population were analyzed by qualitative content analysis. Findings Concepts are dynamic and context-oriented. Over time, a person’s concepts and mental patterns about an object are altered or eliminated. Social, political and economic conditions, governance, technology, interactions, language, environment, culture and social habits contribute to object interpretation and meaning creation. Practical implications In designing ontologies, especially in a context-dependent field, attention should be paid to users’ mental preconceptions, mental patterns, context and personal characteristics. Instead of using words, researchers can use visual and multimedia signs. In addition to logic, statistics and computer science, personal and anthropological characteristics should be considered in the ontology design. Originality/value This study dealt with conceptualization, which is a principal component of ontology. Using Pierce’s triadic model sign and unstructured Instagram data, ontology was studied from a user and pragmatic viewpoint, independently of technical aspects.
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来源期刊
Information Discovery and Delivery
Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
5.40
自引率
4.80%
发文量
21
期刊介绍: Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.
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