Please wait a minute...
New Technology of Library and Information Service  2007, Vol. 2 Issue (1): 6-9    DOI: 10.11925/infotech.1003-3513.2007.01.02
article Current Issue | Archive | Adv Search |
Research on Knowledge Collaboration Model Based on Ontology
Jin Xin   Cao Huaihu   Jia Chuanliang
(School of Information, Central University of Finance & Economics, Beijing 100081,China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper introduces a solution of implementing Ontology into collaboration of heterogeneous information systems, and presents an Ontology-based Knowledge Collaboration Model-OKCM which is the loose coupling model for Web information interoperation. This paper also describes the system architecture of OKCM and introduces the knowledge representation of the Ontology. It also introduces how to implement and maintain the knowledge collaboration based on the OKCM with the typical business collaboration flow of supply chain.
Key words： Knowledge collaboration      Ontology      Information interoperability     
Received: 16 October 2006      Published: 25 January 2007
: 

TP391

 		 
Corresponding Authors: Jin Xin     E-mail: d0229jin@mail.dhu.edu.cn
About author:: Jin Xin,Cao Huaihu,Jia Chuanliang
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article:

Jin Xin,Cao Huaihu,Jia Chuanliang . Research on Knowledge Collaboration Model Based on Ontology. New Technology of Library and Information Service, 2007, 2(1): 6-9.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.01.02     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I1/6

1史美林，向勇等. 计算机支持的协同工作理论与应用. 北京：电子工业出版社, 2000.200-210
2Fensel D, Horrocks I, Harmelen F V, Decker S, Erdmann M, Klein M. OIL in a NutShell. Proceedings of the 12th European Workshop on  Knowledge Acquisition, Modeling, and Management. Germany:Springer-Verlag, 2000.1-16
3Zhan Cui, Dean Jones and Paul O’Brien. Issues in Ontology-based Information Integration. Proceedings of Seventeenth International Joint Conference on Artificial Intelligence. Seattle, Washington, USA, 2001(8):187-190
4Thomas R. Gruber.Ontolingua: A Mechanism to Support Portable Ontologies. Technical Report. Knowledge Systems Laboratory, Stanford University, Stanford, USA. http://citeseer.nj.nec.com/gruber92ontolingua.html(Accessed Jun.8,2006)
5Qiming Chen, Meichun Hsu, Umeshwar Dayal and etc. Multi-Agent Cooperation, Dynamic Workflow and XML for E-Commerce Automation.HP Labs Technical Report( HPL-1999-136). Software Technology Laboratory, Palo Alto, CA, 1999.8
6IBM Web Service Architecture Team. Web Services Architecture Overview-The next stage of evoluton for e-business.http://developer. ibm. Com(Accessed Jun.8,2006)
[1] Sheng Shu, Huang Qi, Yang Yang, Xie Qiwen, Qin Xinguo. Exchanging Chinese Medical Information Based on HL7 FHIR[J]. 数据分析与知识发现, 2021, 5(11): 13-28.
[2] Zeng Zhen,Li Gang,Mao Jin,Chen Jinghao. Data Governance and Domain Ontology of Regional Public Security[J]. 数据分析与知识发现, 2020, 4(9): 41-55.
[3] Shaohua Qiang,Yunlu Luo,Yupeng Li,Peng Wu. Ontology Reasoning for Financial Affairs with RBR and CBR[J]. 数据分析与知识发现, 2019, 3(8): 94-104.
[4] Shiqi Deng,Liang Hong. Constructing Domain Ontology for Intelligent Applications: Case Study of Anti Tele-Fraud[J]. 数据分析与知识发现, 2019, 3(7): 73-84.
[5] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[6] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[7] Ying Wang,Li Qian,Jing Xie,Zhijun Chang,Beibei Kong. Building Knowledge Graph with Sci-Tech Big Data[J]. 数据分析与知识发现, 2019, 3(1): 15-26.
[8] He Youshi,He Shufang. Sentiment Mining of Online Product Reviews Based on Domain Ontology[J]. 数据分析与知识发现, 2018, 2(8): 60-68.
[9] Tang Huihui,Wang Hao,Zhang Zixuan,Wang Xueying. Extracting Names of Historical Events Based on Chinese Character Tags[J]. 数据分析与知识发现, 2018, 2(7): 89-100.
[10] Pang Beibei,Gou Juanqiong,Mu Wenxin. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[11] Ding Shengchun,Liu Menglu,Fu Zhu. Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design[J]. 数据分析与知识发现, 2018, 2(2): 11-19.
[12] Tu Haili,Tang Xiaobo. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[13] Chen Erjing,Jiang Enbo. Review of Studies on Text Similarity Measures[J]. 数据分析与知识发现, 2017, 1(6): 1-11.
[14] Bai Rujiang,Leng Fuhai,Liao Junhua. An Improved Cosine Text Similarity Computing Method Based on Semantic Chunk Feature[J]. 数据分析与知识发现, 2017, 1(6): 56-64.
[15] Wu Dan,Liu Chang,Li Yi. Changing Sentiments of Pedestrian Navigation System Users[J]. 数据分析与知识发现, 2017, 1(5): 42-51.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn