yabko——又一个大型知识组织

R. Lu, Chaoqun Fei, Chuanqing Wang, Yu Huang, Songmao Zhang
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引用次数: 1

摘要

知识图及其处理技术受到了人工智能和知识工程社会的广泛关注。然而,知识图谱支持平台却很少受到关注。本文强调了知识图谱平台作为知识工程的独立产物的作用。本文从YABKO的前身——可编程通用大知识图谱平台HAPE开始,介绍了基于web的资源共享公共知识图谱实验室的思想和技术及其实现YABKO的三个目标。首先,它是一个开源平台,供研究人员在YABKO自有资源的支持下进行知识图谱的实验研究。其次,支持大知识工程,特别是知识图谱领域的研究。第三,支持大知识图谱的全生命周期研究。我们进一步介绍了YABKOS,它是一个分散的研究实验室,用于大规模的知识图谱实验。介绍了知识图操作编排的广域编程语言Knorc。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
YABKO-Yet Another Big Knowledge Organization
Knowledge graph and its processing techniques have got wide spread attention from the AI and knowledge engineering society. However, the knowledge graph supporting platforms have gained much less concern. This paper emphasizes the role of knowledge graph platforms as an independent product of knowledge engineering. Starting from the introduction of HAPE - a programmable universal big knowledge graph platform, which is a predecessor of YABKO, we introduce the idea and technique of Web-based resource sharing public knowledge graph laboratory and its implementation YABKO, which has a threefold target. Firstly, it is an open source platform for researchers doing experimental research on knowledge graphs supported by YABKO's own resources. Secondly, it supports research on big knowledge engineering, in particular in the knowledge graph area. Thirdly, it supports a full life cycle research on big knowledge graphs. Further we introduce YABKOS, a constellation of YABKOs on the Web, which is a decentralized research lab for large scale knowledge graph experiments. Also the wide area programming language Knorc for knowledge graphs' operation orchestration is introduced.
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