Vegetable supply chain knowledge representation and reasoning based on Ontology theory

被引:0
|
作者
Yue, Jun [1 ]
Li, Daoliang [1 ]
Liu, Xue [1 ]
Fu, Zetian [1 ]
机构
[1] China Agr Univ, Coll Econ & Management, Beijing 100094, Peoples R China
关键词
RDF; Ontology; Voronoi diagram; knowledge management;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Knowledge representation and matching-reasoning are two key steps for a semantic knowledge management system. In order to realize the semantic management of vegetable supply chain knowledge, we put forward the vegetable supply chain knowledge Ontology model and formalize the model using RDF (Resource Description Framework) and advanced Voronoi diagram. We setup the qualitative reasoning rules based on the RDF formalized model and put forward the quantitative reasoning arithmetic based on the advanced Voronoi diagram formalized model. The experiments show the reasoning rules and arithmetic based on the formalized model could get rational results in vegetable supply chain knowledge management.
引用
收藏
页码:181 / 185
页数:5
相关论文
共 50 条
  • [1] Ontology-based vegetable supply chain knowledge searching system
    Yue, Jun
    Li, Zhenbo
    Fu, Zetian
    [J]. ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, 2006, : 810 - 815
  • [2] Ontology-Based Knowledge Modelling for Food Supply Chain Data Representation
    Ouf, Shimaa
    [J]. INTERNATIONAL JOURNAL OF E-COLLABORATION, 2022, 18 (01)
  • [3] An Ontology Model for Medical Tourism Supply Chain Knowledge Representation
    Janchai, Worawit
    Bouras, Abdelaziz
    Siddoo, Veeraporn
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (04) : 232 - 240
  • [4] Ontology COKB for Knowledge Representation and Reasoning in Designing Knowledge-Based Systems
    Do, Nhon V.
    [J]. INTELLIGENT SOFTWARE METHODOLOGIES, TOOLS AND TECHNIQUES, SOMET 2014, 2015, 513 : 101 - 118
  • [5] Development of a method for ontology-based empirical knowledge representation and reasoning
    Chen, Yuh-Jen
    [J]. DECISION SUPPORT SYSTEMS, 2010, 50 (01) : 1 - 20
  • [6] An Ontology for Chinese Government Archives Knowledge Representation and Reasoning
    Wang, Zhiyu
    Song, Zhiping
    Yu, Guang
    Wang, Xiaoyu
    [J]. IEEE ACCESS, 2021, 9 : 130199 - 130211
  • [7] Ontology-based semantic representation of context in port supply chain
    Lim, Sung-Shin
    Park, Dae-Won
    Kwon, Hyuk-Chul
    [J]. ALPIT 2007: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON ADVANCED LANGUAGE PROCESSING AND WEB INFORMATION TECHNOLOGY, 2007, : 446 - 451
  • [8] The Knowledge Representation and Semantic Reasoning Realization of Productivity Grade Based on Ontology and SWRL
    Ma, Li
    Yu, Helong
    Wang, Yue
    Chen, Guifen
    [J]. COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT I, 2012, 368 : 381 - 389
  • [9] Coupling Ontology with Rule-Based Theorem Proving for Knowledge Representation and Reasoning
    Zhong, Xiuqin
    Fu, Hongguang
    Jiang, Yan
    [J]. DATABASE THEORY AND APPLICATION, BIO-SCIENCE AND BIO-TECHNOLOGY, 2010, 118 : 110 - 119
  • [10] A New Knowledge Representation Method Based on Ontology and Cloud Theory
    Lin Peiguang
    Zhou Zhizheng
    [J]. 2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS, 2008, : 49 - 52