数据爆炸和全球化时代企业应用集成的语义模型

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2021-10-14 DOI:10.1080/17517575.2021.1989495

Hongfeng Yu, Akinola Ogbeyemi, W. Lin, Jingyi He, Wei Sun, W. Zhang

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引用次数: 9

摘要

摘要本文提出了一个数据爆炸和全球化时代的企业应用集成（EAI）模型。这里的应用指的是软件，本质上是数据系统，数据指的是信息和知识（数据既是信息的载体，也是知识的载体）。该模型的显著特点是：（1）业务功能与应用程序和企业分离，（2）模型的三层架构（概念或语义级别、外部或应用程序级别、内部或实现级别），以及（3）结构化、半结构化和非结构化数据的集成。据我们所知，EAI的现有模型或解决方案并不具备所有这三个功能。通过一个案例来说明该模型是如何工作的。该模型可以由形成网络的单个企业或一组企业使用，例如，整体供应链网络。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A semantic model for enterprise application integration in the era of data explosion and globalisation

ABSTRACT This paper presents a model for Enterprise Application Integration (EAI) in the modern era of data explosion and globalisation. Application here refers to software, which is in essence data system, and data refers to both information and knowledge (data serves as a vehicle for information as well as knowledge). The salient features of the model are: (1) separation of business functions from applications and enterprises, (2) three-layer architecture of the model (conceptual or semantic level, external or application level, internal or realisation level), and (3) integration of structured, semi-structured and non-structured data. To our best knowledge, the existing model or solution to EAI does not hold all the three features. A case study is presented to illustrate how the model works. The model can be used by an individual enterprise or a group of enterprises that form a network, e.g., a holistic supply chain network.

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来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.