Knowledge intelligent acquiring system of vegetable supply chains

A knowledge acquisition and acquisition system technology, applied in the field of vegetable supply chain knowledge intelligent acquisition system, can solve the problems of delayed acceptance of important roles and low educational background.

Inactive Publication Date: 2010-05-19
CHINA AGRI UNIV
View PDF0 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many of them have low educational background. As a new concept of supply chain management, it is often difficult for them to understand its important role, which leads to a delay in acceptance.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Knowledge intelligent acquiring system of vegetable supply chains
  • Knowledge intelligent acquiring system of vegetable supply chains
  • Knowledge intelligent acquiring system of vegetable supply chains

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] as the picture shows,

[0042] (1) Definition of Vegetable Supply Chain Semantic Dictionary

[0043] Referring to WordNet (wordnet.princeton.edu), the semantic analysis of the concept in the field of vegetable supply chain is carried out. A semantic lexicon was established to describe the correlation between the concepts of vegetable supply chain.

[0044] First, the metadata used to describe the data in the vegetable supply chain process is defined. When performing semantic extension retrieval, the initial query conditions submitted by users are supported by semantic dictionaries through semantic extension, semantic implication, semantic extension, semantic association, etc. Semantic extension obtains a set of query conditions with strong semantic correlation. The semantic extension process is shown in the attached figure 2 As shown, in the process of semantic expansion, related semantic reasoning can be carried out according to the description of the relationship b...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a knowledge acquiring system field, in particular to a knowledge intelligent acquiring system of vegetable supply chains, aiming at designing a set of knowledge intelligent acquiring system of vegetable supply chains, realizing the effect knowledge spreading of the vegetable supply chains by means of the computer media, and particularly realizing the knowledge transfer in the field of the vegetable supply chains at home and aboard. The system takes the ontology model of the vegetable supply chains as a support and provides three retrieval modes, i.e. keyword retrieval, semantic extension retrieval and semantic retrieval based on the ontology model as a tool for acquiring the knowledge in the professional field. The system has high query efficiency and facilitates the participants of the vegetable supply chains and scientific researchers to acquire the professional knowledge.

Description

technical field [0001] The invention relates to the field of knowledge acquisition systems, in particular to an intelligent acquisition system for vegetable supply chain knowledge. Background technique [0002] my country is a big agricultural country and also a big vegetable producing country. The vegetable industry occupies an important position in my country's agriculture. With the development of market economy and the adjustment of national agricultural industry structure, in the past 10 years, my country's vegetable production has increased at an annual rate of about 9.3%. The sown area of ​​vegetables in my country will reach 260 million mu by 2007, with a total output of 565 million tons and a per capita share of more than 420 kilograms. Facilities vegetables will reach more than 50 million mu by 2007. According to FAO statistics, my country's vegetable planting area and output account for 43% and 49% of the world's respectively, ranking first in the world. Vegetab...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 傅泽田岳峻张领先李鑫星
Owner CHINA AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap