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首页> 外文期刊>European journal of information systems >The infological equation extended: towards conceptual clarity in the relationship between data, information and knowledge
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The infological equation extended: towards conceptual clarity in the relationship between data, information and knowledge

机译：信息逻辑方程式扩展：数据，信息和知识之间关系的概念清晰

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摘要

Clearly defined relationships between core concepts in our field are the bedrock for building a cumulative tradition. No concepts or relationships could be more core to the Information System (IS) field than: data, information, and knowledge. Even though several models have been developed to depict the relationship between these core concepts, none provides a completely satisfying solution to resolve problems in understanding information processing and in guiding IS research and practice. In response to the limitations in existing models, a knowledge-based theory of information is extended from Langefors' (1973) infological equation, suggesting that information is the joint function of data and knowledge. Specifically, the proposed theory describes data as the measurement or description of states, whereas knowledge outlines the relationship between concepts underlying those states. Information, representing a status of conditional readiness for an action, is generated from the interaction between the states measured in data and their relationship with future states predicted in knowledge. Following this logic, different forms of IS are conceptualized as the embodiments of knowledge domains capable of transforming specific categories of data into information for business operations and decision-making. The proposed model helps address controversies in previous studies and provides guidance for further research.
机译：我们领域核心概念之间明确定义的关系是建立累积传统的基础。在信息系统（IS）领域，没有任何概念或关系比数据，信息和知识更重要。尽管已经开发了几种模型来描述这些核心概念之间的关系，但是没有一种模型可以提供完全令人满意的解决方案来解决理解信息处理以及指导IS研究和实践方面的问题。为了应对现有模型的局限性，从Langefors（1973）的信息逻辑方程式扩展了基于知识的信息理论，这表明信息是数据和知识的联合功能。具体来说，提出的理论将数据描述为状态的度量或描述，而知识则概述了这些状态所基于的概念之间的关系。从数据中测得的状态及其与知识中预测的未来状态之间的关系中产生的交互作用生成了信息，该信息表示操作的条件就绪状态。遵循该逻辑，将不同形式的IS概念化为能够将特定类别的数据转换为用于业务运营和决策的信息的知识域的实施例。该模型有助于解决先前研究中的争议，并为进一步研究提供指导。

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