OBSKP:甲骨文研究知识金字塔模型及其应用

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Jing Xiong, Tao Guo, Guoying Liu, Yining Chen
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引用次数: 0

摘要

计算机科学和人工智能(AI)的引入使甲骨文研究(OBS)受益匪浅,它改变了OBS知识的传统组织方式,使重要的研究数据得以快速积累。然而,由于缺乏面向对象服务的知识组织与管理工具和知识应用模型,这些数据并未得到充分挖掘,在对象服务大数据的存储、表示、共享和重用等处理方面面临挑战。解决OBS研究瓶颈面临的两个突出问题:对专家知识的依赖程度高,但知识共享和重用程度低;定性分析导致计算性和可解释性差。提出了一种从精细化、碎片化、概念化、网络化、向量化和多模态融合等多个维度切入的知识组织模型。从计算甲骨文研究(COBS)的角度提出OBS知识应用金字塔(OBSKP)模型。OBSKP为人工智能时代的OBS研究指明了方向,为后续OBS研究数据的存储和表示提供了标准和规范。此外,还介绍了基于OBSKP的几个重要应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OBSKP: Oracle Bone Studies Knowledge Pyramid Model With Applications
Oracle Bone Studies (OBS) benefit a lot from the introduction of computer science and artificial intelligence (AI), which changes the traditional way of organization of OBS knowledge, and results in a rapid accumulation of important research data. However, these data are not fully explored, and the processing faces challenges in the storage, representation, sharing and reuse of OBS big data, due to the lack of knowledge organization and management tools and knowledge application models for OBS. To address the two outstanding problems faced by OBS research bottleneck: high dependence on expert knowledge but low degree of knowledge sharing and reuse; poor computability and interpretability due to qualitative analysis. A new knowledge organization model carved from multiple dimensions such as refinement, fragmentation, conceptualization, networking, vectorization, and multimodal fusion is proposed. The OBS Knowledge application Pyramid (OBSKP) model is proposed from the perspective of Computational Oracle Bone Studies (COBS). The OBSKP shows the direction for the OBS research in the era of AI and provides the storage and representation standards and specifications for the subsequent OBS research data. Moreover, several important applications based on the OBSKP are presented.
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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