Design and realization of ontology prototype system based on FCA

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (19): 80-83.

• 研发、设计、测试 • Previous Articles Next Articles

Design and realization of ontology prototype system based on FCA

ZHANG Rui-ling¹,XU Hong-sheng¹,SHEN Xia-jiong²

1.Academy of Information Technology，Luoyang Normal University，Luoyang，Henan 471022，China
2.Institute of Data and Knowledge Engineering，Henan University，Kaifeng，Henan 475001，China

Received:2008-01-07 Revised:2008-04-08 Online:2008-07-01 Published:2008-07-01
Contact: ZHANG Rui-ling

基于FCA的本体原型系统的设计与实现

张瑞玲¹,徐红升¹,沈夏炯²

1.洛阳师范学院信息技术学院，河南洛阳 471022
2.河南大学数据与知识工程研究所，河南开封 475001

通讯作者: 张瑞玲

Abstract

Abstract: After analyzing key problems in ontology prototypal system，ontology prototypal system based on FCA（Formal Concept Analysis） is presented to make up these defects，and elucidates that main feature of the system is ontology building，merging and three-dimensional visualization display.This system proposes the determination of sub-concept lattice in order to reduce display.By examples，all of connotative ontology concepts were created from field，a superior-subordinate relationship was formed among concepts，and comparability among non-level class concepts and relativity between concepts and objects were gave by combine interrelated probability mode，thus inquiring efficiency among ontology was improved.

Key words: ontology, FCA（Formal Concept Analysis）, prototype system, ontology merging, concept lattice, three-dimensional visualization display

摘要： 经过分析本体原型系统中存在的关键问题，提出基于FCA的本体原型系统来弥补缺陷，并阐明了系统的主要特色是采用FCA技术进行本体的构建、合并、三维可视化展现，其中为了在本体展现中简化概念格的显示，提出子概念格的判定方法。最后通过实例，从领域中生成了所有隐含的本体概念，形成了概念之间的上下级关系，结合相关性几率模式给出了非层次级概念之间的相似性以及概念与对象之间的相关度，从而提高了用户在本体中的查询效率。

关键词: 本体, FCA, 原型系统, 本体合并, 概念格, 三维可视化

ZHANG Rui-ling¹,XU Hong-sheng¹,SHEN Xia-jiong². Design and realization of ontology prototype system based on FCA[J]. Computer Engineering and Applications, 2008, 44(19): 80-83.

张瑞玲¹,徐红升¹,沈夏炯². 基于FCA的本体原型系统的设计与实现[J]. 计算机工程与应用, 2008, 44(19): 80-83.

[1]	YANG Quan. SVM Algorithm for N1+N2 Structure Syntax Relation Determination [J]. Computer Engineering and Applications, 2021, 57(20): 104-108.
[2]	ZHANG Chengling, LI Jinjin, LIN Yidong. Attribute Reduction in Formal Contexts Based on OE-Concept Lattices [J]. Computer Engineering and Applications, 2021, 57(15): 82-89.
[3]	YANG Geying, SHEN Xiajiong, SHI Xianjin, ZHANG Lei. Visualization of Association Rules in Context of Concept Lattices [J]. Computer Engineering and Applications, 2021, 57(1): 84-91.
[4]	GAO Jian, WANG An. Research on Ontology-Based Network Threat Intelligence Analysis Technology [J]. Computer Engineering and Applications, 2020, 56(11): 112-117.
[5]	LI Jinhai, HE Youshi, MA Yunlei, ZHOU Aiping. Research of Universal Model for Knowledge Representation Based on Multi-layer Domain Ontology [J]. Computer Engineering and Applications, 2020, 56(11): 149-155.
[6]	SHE Yanhong, HU Mengting, HE Xiaoli, ZENG Wanglin. Comparative Study Between Two Multigranulation Formal Concept Analysis Models [J]. Computer Engineering and Applications, 2020, 56(10): 51-55.
[7]	HE Xiaoli, LIU Huali, LIU Yaoyao. Interval Formal Concept Analysis Approach for Multigranulation Data [J]. Computer Engineering and Applications, 2019, 55(19): 52-57.
[8]	WANG Siyu, HE Jingsha, TENG Da. Access Control System Supporting Quantification and Protection of Privacy Information [J]. Computer Engineering and Applications, 2019, 55(16): 77-87.
[9]	QU Hanhua1, HUI Jianzhong1, HE Xianfeng2, WANG Muhua1, HE Xiaofeng1, FENG De’en1. Formal concept analysis model of meteorological services [J]. Computer Engineering and Applications, 2018, 54(9): 257-264.
[10]	YOU Yun1，2，3, WAN Changxuan1，3, CHEN Huangye1，3. Diversified commodity recommendation method considering correlation between objects [J]. Computer Engineering and Applications, 2018, 54(7): 70-76.
[11]	WANG Zhen. Engineering change impact analysis based on design knowledge ontology [J]. Computer Engineering and Applications, 2018, 54(5): 247-252.
[12]	ZHU Wenyue，LIU Zongtian. Emergency domain knowledge modeling based on event ontology [J]. Computer Engineering and Applications, 2018, 54(21): 148-155.
[13]	PENG Fei1, ZHANG Tao1, XU Weiguang1, ZHAO Min1, QIN Hengjia2. Security policy generation model of operating system based on ontology [J]. Computer Engineering and Applications, 2018, 54(2): 114-118.
[14]	WANG Hong, ZHANG Hao, SHI Jinchuan. Research on domain ontology concept acquisition method based on Latent Dirichlet Allocation [J]. Computer Engineering and Applications, 2018, 54(13): 252-257.
[15]	WANG Jiahai, CHEN Yu. Data driven Job Shop production scheduling knowledge mining and optimization [J]. Computer Engineering and Applications, 2018, 54(1): 264-270.

Design and realization of ontology prototype system based on FCA

基于FCA的本体原型系统的设计与实现

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics