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相关概念视频

Ogive Graph01:07

Ogive Graph

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Time-Series Graph00:54

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Light Acquisition02:16

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Multiple Regression01:25

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
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Bar Graph01:07

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
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相关实验视频

Updated: Mar 10, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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KGAP:农业大宗商品价格的RDF知识图.

Filipi Miranda Soares1,2,3, Luís Ferreira Pires1, Fernando Elias Corrêa4

  • 1Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Drienerlolaan 5, Enschede, 7522 NB, Overijssel, the Netherlands.

Data in brief
|March 9, 2026
PubMed
概括
此摘要是机器生成的。

农业价格知识图 (KGAP) 集成了巴西各种农业商品数据. 这种语义方法提高了数据的一致性,并使经济和政策的高级分析成为可能.

关键词:
农业经济学 农业经济学农产品 农产品 农产品价格 价格 价格 价格 价格在RDF中使用RDF.SPARQL SPARQL 的意思就是火花.语义网络是一个语义网络.时间序列时间序列

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科学领域:

  • 农业经济学 农业经济学
  • 数据科学数据科学数据科学
  • 信息科学 信息科学 信息科学

背景情况:

  • 巴西的农业大宗商品价格数据在各机构 (Cepea,Conab,Ipea) 中是分散的.
  • 现有的数据集采用异质格式,阻碍了互操作性和分析.
  • 缺乏统一的,语义上一致的数据资源限制了对市场动态的洞察力.

研究的目的:

  • 开发农业价格知识图 (KGAP),整合来自巴西主要机构的数据.
  • 确保农业价格数据的语义一致性和遵守FAIR数据原则.
  • 为农业经济学,政策分析和数据科学应用提供可查询的资源.

主要方法:

  • 来自Cepea,Conab和Ipea的综合农产品价格数据.
  • 协调并将异质数据集转换为RDF/Turtle格式,使用Almes Core元数据模式.
  • 使用农产品类型实体学 (APTO) 进行分类的农产品,并与地理名称标识符对齐的地理引用.

主要成果:

  • 创建了KGAP,这是巴西农产品价格的综合知识图.
  • 通过标准化建模,确保语义一致性和FAIR数据原则.
  • 建立了一个公共的SPARQL终点,用于查询跨机构,区域和时间段的综合价格数据.

结论:

  • KGAP为分析农业商品价格提供了一个有语义意识的资源.
  • 知识图方便机构间数据比较,并防止分析错误.
  • KGAP支持各种应用,包括政策分析,新闻和农业中的机器学习.