概念建模：基础、历史视角和对未来的展望

IF 2.7 3区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Data & Knowledge Engineering Pub Date : 2025-07-07 DOI:10.1016/j.datak.2025.102483

John Mylopoulos , Giancarlo Guizzardi , Nicola Guarino

{"title":"概念建模：基础、历史视角和对未来的展望","authors":"John Mylopoulos , Giancarlo Guizzardi , Nicola Guarino","doi":"10.1016/j.datak.2025.102483","DOIUrl":null,"url":null,"abstract":"<div><div>We recount the foundations of Conceptual Modeling in Computer Science, Philosophy and Cognitive Science and their implications on what are concepts, conceptualizations, and conceptual models. We then review the history of the field, considering earlier work by the three co-authors, and highlight some of the contributions that made it what it is. Finally, we propose three research directions whose solutions could advance the field and will hopefully be addressed in the future. Our study is intended to help to circumscribe and characterize the field. It draws ideas from Philosophy, Cognitive Science, Engineering and the Social Sciences, as well as several areas within Computer Science, including Programming languages, Artificial Intelligence, Databases, Software Engineering, and Information Systems Engineering.</div></div>","PeriodicalId":55184,"journal":{"name":"Data & Knowledge Engineering","volume":"160 ","pages":"Article 102483"},"PeriodicalIF":2.7000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conceptual modeling: Foundations, a historical perspective, and a vision for the future\",\"authors\":\"John Mylopoulos , Giancarlo Guizzardi , Nicola Guarino\",\"doi\":\"10.1016/j.datak.2025.102483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We recount the foundations of Conceptual Modeling in Computer Science, Philosophy and Cognitive Science and their implications on what are concepts, conceptualizations, and conceptual models. We then review the history of the field, considering earlier work by the three co-authors, and highlight some of the contributions that made it what it is. Finally, we propose three research directions whose solutions could advance the field and will hopefully be addressed in the future. Our study is intended to help to circumscribe and characterize the field. It draws ideas from Philosophy, Cognitive Science, Engineering and the Social Sciences, as well as several areas within Computer Science, including Programming languages, Artificial Intelligence, Databases, Software Engineering, and Information Systems Engineering.</div></div>\",\"PeriodicalId\":55184,\"journal\":{\"name\":\"Data & Knowledge Engineering\",\"volume\":\"160 \",\"pages\":\"Article 102483\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data & Knowledge Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169023X25000783\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data & Knowledge Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169023X25000783","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}

引用次数: 0

摘要

我们叙述了计算机科学、哲学和认知科学中概念建模的基础，以及它们对概念、概念化和概念模型的含义。然后，我们回顾了该领域的历史，考虑到三位共同作者的早期工作，并强调了使其成为今天的一些贡献。最后，我们提出了三个研究方向，它们的解决方案可以推动该领域的发展，并有望在未来得到解决。我们的研究旨在帮助划定和描述该领域。它从哲学、认知科学、工程学和社会科学以及计算机科学的几个领域汲取思想，包括编程语言、人工智能、数据库、软件工程和信息系统工程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Conceptual modeling: Foundations, a historical perspective, and a vision for the future

We recount the foundations of Conceptual Modeling in Computer Science, Philosophy and Cognitive Science and their implications on what are concepts, conceptualizations, and conceptual models. We then review the history of the field, considering earlier work by the three co-authors, and highlight some of the contributions that made it what it is. Finally, we propose three research directions whose solutions could advance the field and will hopefully be addressed in the future. Our study is intended to help to circumscribe and characterize the field. It draws ideas from Philosophy, Cognitive Science, Engineering and the Social Sciences, as well as several areas within Computer Science, including Programming languages, Artificial Intelligence, Databases, Software Engineering, and Information Systems Engineering.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Data & Knowledge Engineering 工程技术-计算机：人工智能

CiteScore

5.00

自引率

0.00%

发文量

审稿时长

6 months

期刊介绍： Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.