知识图:机遇和挑战
Ciyuan Peng1, Feng Xia2, Mehdi Naseriparsa3
1Institute of Innovation, Science and Sustainability, Federation University Australia, Ballarat, 3353 VIC Australia.
概括
知识图为人工智能 (AI) 系统组织真实世界的信息. 本文调查了知识图表开发中的AI机会和技术挑战.
科学领域:
- 人工智能的人工智能
- 数据科学数据科学数据科学
- 知识表示 知识表示
背景情况:
- 人工智能 (AI) 和大数据的快速扩张需要有效的知识组织.
- 知识图,作为图形数据的一种形式,对于表示现实世界的信息和复杂的关系至关重要.
- 由于知识图的表示力,学术界和工业界对知识图的兴趣越来越大.
研究的目的:
- 为知识领域提供系统的概述.
- 探索知识图所带来的机会,特别是在人工智能系统和各种应用领域.
- 识别和讨论知识图的研究和开发中的重大技术挑战.
主要方法:
- 系统的文献审查,专注于知识图表.
- 对机遇的分析,分为AI系统集成和应用领域.
- 讨论关键的技术挑战,包括嵌入,收购,完成,合并和推理.
主要成果:
- 知识图为构建先进的人工智能系统提供了重大机会.
- 对知识图表技术而言,各种各样的应用领域正在出现.
- 几个关键的技术挑战阻碍了充分实现知识图的潜力.
结论:
- 在AI时代,知识图对于管理和利用大量信息至关重要.
- 解决知识图嵌入,获取,完成,融合和推理方面的挑战对于未来的进步至关重要.
- 本次调查旨在指导未来在知识图的动态领域的研究和开发.
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