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[1] Ma Yinglong, Zhang Hongxian, Liu Shaohua,. Approach for knowledge sharingbased on ontology context immigration [J]. Journal of Southeast University (English Edition), 2009, 25 (4): 473-476. [doi:10.3969/j.issn.1003-7985.2009.04.012]
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Approach for knowledge sharingbased on ontology context immigration()
基于本体环境迁移的信息共享方法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
25
Issue:
2009 4
Page:
473-476
Research Field:
Computer Science and Engineering
Publishing date:
2009-12-30

Info

Title:
Approach for knowledge sharingbased on ontology context immigration
基于本体环境迁移的信息共享方法
Author(s):
Ma Yinglong1;  Zhang Hongxian1;  Liu Shaohua2
1School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
2 School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
马应龙1;  张红宪1;  刘韶华2
1华北电力大学控制与计算机工程学院, 北京 102206; 2北京邮电大学电子工程学院, 北京 100876
Keywords:
ontology;  knowledge sharing;  ontology context;  multi-agent system
本体;  知识共享;  本体环境;  多智能体系统
PACS:
TP313
DOI:
10.3969/j.issn.1003-7985.2009.04.012
Abstract:
In order to better achieve knowledge sharing based on distributed ontologies, an approach based on ontology context immigration(OCI)is proposed. Compared with traditional approaches such as ontology integration and mapping, the proposed approach can reduce the implementation complexity. This approach can be mainly divided into three phases: ontology context determination for a given term, ontology semantic similarity computation between ontology terms, and ontology context immigration. As for a local semantic term based on distributed ontologies, an appropriate ontology context of the term is determined and extracted from a local ontology most associated with the term by using semantic similarity computation. Then, the ontology context is dynamically immigrated to the source ontology for enriching semantic information related to the term. A system called distributed knowledge sharing system(DKSS)is developed to illustrate this approach. The system adopts multi-agent technology for better communication and coordination between different ontology information sources. The experimental results show that it is efficient for distributed ontology knowledge sharing. The proposed approach does not require the support of a global ontology or the maintenance of complex ontology mapping relations, and thus it has better maintainability and scalability.
为了更好地实现基于分布式本体的知识共享, 提出了一个基于本体环境迁移(OCI)的方法. 该方法同传统的本体集成和映射方法相比, 能减少实现复杂度. 该方法可以分成3个阶段: 给定术语的语义环境确定, 本体术语之间的语义相似度计算以及本体环境迁移. 针对分布式本体的一个本地术语, 其本体环境可以通过使用语义相似度计算从与该术语最相关的本地本体中确定和抽取. 然后, 该环境将被动态地迁移到源本体以获取更丰富的语义信息. 采用多智能体技术, 开发了一个分布式知识共享系统(DKSS)以演示该方法的使用. 实验结果显示, 该方法对分布式本体知识共享是有效的, 不需要维护全局本体或复杂的本体映射, 因此具有更好的可维护性和可伸缩性.

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Memo

Memo:
Biography: Ma Yinglong(1976—), male, doctor, associate professor, yinglongma@gmail.com.
Foundation item: The National Natural Science Foundation of China(No.60703036).
Citation: Ma Yinglong, Zhang Hongxian, Liu Shaohua. Approach for knowledge sharing based on ontology context immigration[J]. Journal of Southeast University(English Edition), 2009, 25(4): 473-476.
Last Update: 2009-12-20