Proces stjecanja znanja kao problem informacijskih znanosti

Boris Bosančić
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引用次数: 2

Abstract

The paper presents an overview of some problems of information science which are explicitly portrayed in literature. It covers the following issues: information explosion, information flood and data deluge, information retrieval and relevance of information, and finally, the problem of scientific communication. The purpose of this paper is to explain why knowledge acquisition, can be considered as an issue in information sciences. The existing theoretical foundation within the information sciences, i.e. the DIKW hierarchy and its key concepts - data, information, knowledge and wisdom, is recognized as a symbolic representation as well as the theoretical foundation of the knowledge acquisition process. Moreover, it seems that the relationship between the DIKW hierarchy and the knowledge acquisition process is essential for a stronger foundation of information sciences in the 'body' of the overall human knowledge. In addition, the history of both the human and machine knowledge acquisition has been considered, as well as a proposal that the DIKW hierarchy take place as a symbol of general knowledge acquisition process, which could equally relate to both human and machine knowledge acquisition. To achieve this goal, it is necessary to modify the existing concept of the DIKW hierarchy. The appropriate modification of the DIKW hierarchy (one of which is presented in this paper) could result in a much more solid theoretical foundation of the knowledge acquisition process and information sciences as a whole. The theoretical assumptions on which the knowledge acquisition process may be established as a problem of information science are presented at the end of the paper. The knowledge acquisition process does not necessarily have to be the subject of epistemology. It may establish a stronger link between the concepts of data and knowledge; furthermore, it can be used in the context of scientific research, but on the more primitive level than conducting of scientific methods. Moreover, the description of this process, as opposed to other problems of information sciences, necessarily involves all four DIKW concepts. Finally, the solution of this problem may result in a more complete theory of information.
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本文概述了文献中明确描述的一些情报学问题。它包括以下几个问题:信息爆炸、信息泛滥和数据泛滥、信息检索和信息关联,最后是科学传播问题。本文的目的是解释为什么知识获取可以被认为是信息科学中的一个问题。信息科学现有的理论基础,即DIKW层次结构及其关键概念-数据、信息、知识和智慧,被认为是知识获取过程的象征性表示和理论基础。此外,似乎DIKW层次结构和知识获取过程之间的关系对于在整个人类知识的“身体”中建立更强大的信息科学基础至关重要。此外,还考虑了人类和机器知识获取的历史,并建议将DIKW层次结构作为一般知识获取过程的象征,这可能与人类和机器知识获取同等相关。为了实现这一目标,有必要修改DIKW层次结构的现有概念。对DIKW层次结构进行适当的修改(本文提出了其中一个)可以为知识获取过程和整个信息科学提供更加坚实的理论基础。本文最后提出了将知识获取过程作为一个信息学问题来建立的理论假设。知识获取过程不一定非得是认识论的主题。它可以在数据和知识的概念之间建立更强的联系;此外,它可以在科学研究的背景下使用,但在比实施科学方法更原始的层面上。此外,与信息科学的其他问题相反,对这一过程的描述必然涉及所有四个DIKW概念。最后,这个问题的解决可能导致一个更完整的信息理论。
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审稿时长
14 weeks
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