知识图增强:一致性,不变性,可靠性和上下文
1Artificial Intelligence and Data Engineering, Ankara University, Ankara, Türkiye.
PeerJ. Computer science
|September 14, 2023
概括
本研究引入了改善人工智能 (AI) 知识图的新机制. 哈希技术提高了可靠性和一致性,提高了AI软件在知识更新和比较中的性能.
科学领域:
- 人工智能的人工智能
- 知识表示 知识表示
- 计算机科学 计算机科学
背景情况:
- 知识图对人工智能至关重要,但也有局限性.
- 现有的知识图表在自动更新,模糊性,排序,不变性和高效比较方面扎.
- 这些缺陷阻碍了依赖知识图的AI应用程序的性能.
研究的目的:
- 解决传统知识图的局限性.
- 通过整合可靠性,一致性,不变性和上下文机制来提高知识图表的性能.
- 提高AI系统中知识更新和比较的效率.
主要方法:
- 开发了可靠性,一致性,不变性和上下文的新机制.
- 将哈希技术集成到这些机制的设计中.
- 保持开发的机制与核心知识图形结构分开,以保持功能.
主要成果:
- 与传统的知识图表相比,拟议的机制表现出优越的性能.
- 图形和t测试分析证实了知识更新和比较的更高效率.
- 综合机制显著改善了知识图表性能指标.
结论:
- 开发的机制有效地克服了传统知识图的关键局限性.
- 哈希技术的整合提高了知识表示的稳定性和效率.
- 这些进步预计将对利用知识图的AI软件的性能做出重大贡献.
相关概念视频
Improving Translational Accuracy
11.5K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.5K
Natural and Artificial Concepts
189
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
189
Accuracy, limits, and approximation
474
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
474
Reliability and Validity
12.8K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.8K
Distribution Reliability and Automation
129
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
129
Concepts and Prototypes
177
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
177


