Please wait a minute...
New Technology of Library and Information Service  2014, Vol. 30 Issue (3): 49-56    DOI: 10.11925/infotech.1003-3513.2014.03.08
Current Issue | Archive | Adv Search |
An Ontology Collaborative Construction Model Based on FCA in Cloud Computing Environment
Yan Shiyan1, Wang Shengqing2, Luo Yunchuan3, Huang Haojun4
1 Department of Information Management, Peking University, Beijing 100871, China;
2 Center for Educational Technology, Peking University, Beijing 100871, China;
3 National Public Culture Development Center, Ministry of Culture of the PRC, Beijing 100034, China;
4 School of Software and Microelectronics, Peking University, Beijing 100871, China
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] Find the collaboration pattern of domain Ontology construction based on FCA with the concepts and techniques in cloud computing environment. [Methods] Partition the formal context with the techniques in MapReduce framework in cloud computing environment, construct concept lattices locally, use the ideas from experts and users to modify domain Ontology. [Results] Successfully design a new collaboration pattern for construction domain Ontology in cloud computing environment, improve degree of automation of the process of construction, people with different privileges participate in the process. Thereby increasing the efficiency and quality of Ontology. [Limitations] This collaborative pattern is still in the conceptual design phase. The pattern requires multi-users participation in practice under cloud computing to improve collaboration solutions. [Conclusions] The construction of domain Ontology based on FCA can be extended in cloud computing environment. People from different levels can modify the Ontology via the collaboration.

Key wordsCloud computing      Formal Concept Analysis      Domain Ontology construction      Ontology collaborative schema      Public digital culture resource     
Received: 19 November 2013      Published: 15 April 2014
:  TP391  

Cite this article:

Yan Shiyan, Wang Shengqing, Luo Yunchuan, Huang Haojun. An Ontology Collaborative Construction Model Based on FCA in Cloud Computing Environment. New Technology of Library and Information Service, 2014, 30(3): 49-56.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.03.08     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I3/49

[1] Furht B, Escalante A. Handbook of Cloud Computing [M]. Springer,2010: 3.

[2] Wille R. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts [C].In: Proceedings of the 7th International Conference on Formal Concept Analysis (ICFCA'09). Berlin, Heidelberg: Springer-Verlag, 2009: 314- 339.

[3] Kester Q. Computer Aided Investigation: Visualization and Analysis of Data from Mobile Communication Devices Using Formal Concept Analysis [C]. In: Proceedings of the 2nd CMI and GTUC International Conference on Applications of Mobile Communications in Africa: Prospects and Challenges. 2013: 1-12.

[4] Cimiano P, Hotho A, Stumme G, et al. Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies [C].In: Proceedings of the 2nd International Conference on Formal Concept Analysis. Springer, 2004: 189-207.

[5] Tao G. Using Formal Concept Analysis (FCA) for Ontology Structuring and Building [D]. Singapore: Nanyang Technological University, 2003.

[6] Haav H. A Semi-automatic Method to Ontology Design by Using FCA [C].In: Proceedings of Concept Lattices and Their Applications. 2004.

[7] Obitko M, Snasel V, Smid J. Ontology Design with Formal Concept Analysis [C]. In: Proceedings of Concept Lattices and Their Applications. 2004: 111-119.

[8] 毕强,滕广青. 国外形式概念分析与概念格理论应用研究的前沿进展及热点分析 [J]. 现代图书情报技术,2010(11): 17-23.(Bi Qiang, Teng Guangqing. Analysis of the Progress and Hotspots in Applied Research of FCA and Concept Lattice Theory Aborad [J]. New Technology of Library and Information Service, 2010(11): 17-23.)

[9] 张云中,杨萌,徐宝祥. 基于FCA的Folksonomy用户偏好挖掘研究 [J]. 现代图书情报技术,2011(6): 72-78.(Zhang Yunzhong, Yang Meng, Xu Baoxiang .Research on FCA-based User Profile Mining for Folksonomy [J].New Technology of Library and Information Service, 2011(6): 72-78.)

[10] 刘萍,高慧琴,胡月红. 基于形式概念分析的情报学领域本体构建 [J]. 图书情报知识, 2012(3): 20-26.(Liu Ping, Gao Huiqin, Hu Yuehong. Construction of Domain Ontology in Information Science Based on Formal Concept Analysis [J]. Document, Information & Knowledge, 2012(3): 20-26.)

[11] Dean J, Ghemawat S. MapReduce: Simplified Data Processing on Large Clusters [J].Communications of the ACM, 2008,51(1): 107-113.

[12] Openfca. Project Home [EB/OL]. [2013-06-26]. https: //code.google.com/p/openfca/.

[13] 刘萍,胡月红. 基于FCA和关联规则的情报学本体构建 [J]. 现代图书情报技术,2012(2): 34-40.(Liu Ping, Hu Yue- hong .Development of Domain Ontology in Information Science Based on FCA and Association Rules [J]. New Technology of Library and Information Service, 2012(2): 34-40.)

[1] Liu Ping,Peng Xiaofang. Calculating Word Similarities Based on Formal Concept Analysis[J]. 数据分析与知识发现, 2020, 4(5): 66-74.
[2] Jie Ma,Yan Ge,Hongyu Pu. Survey of Attribute Reduction Methods[J]. 数据分析与知识发现, 2020, 4(1): 40-50.
[3] Liu Ping,Li Yanan,Yu Cong. Building Interactive Knowledge Map for Academic Search[J]. 数据分析与知识发现, 2018, 2(12): 43-51.
[4] Gao Changyuan,Yu Jianping,He Xiaoyan. Knowledge Search for Cloud Computing Industry Alliance: An Algorithm Based on Improved Particle Swarm Optimization[J]. 数据分析与知识发现, 2017, 1(3): 81-89.
[5] Xiao Qiang, Zhu Qinghua, Zheng Hua, Wu Kewen. Design and Implementation of Distributed Collaborative Filtering Algorithm on Hadoop[J]. 现代图书情报技术, 2013, 29(1): 83-89.
[6] Zhang Yunzhong. Using Formal Concept Analysis to Construct the Model of User Behavior Knowledge Discovery in Folksonomy[J]. 现代图书情报技术, 2012, 28(7): 66-75.
[7] Wang Li. Dynamic Faceted Method Based on Keyword Chains[J]. 现代图书情报技术, 2012, 28(7): 76-81.
[8] Xu Kun, Cao Jindan, Bi Qiang. A Study and Application on Medical Text Categorization Based on FCA[J]. 现代图书情报技术, 2012, 28(3): 23-26.
[9] Wang Weijun, Jiang Yi, Liu Rui, Kari Smolander. Research Progress in Software Testing on Cloud Computing[J]. 现代图书情报技术, 2012, (11): 3-9.
[10] Jiang Yi, Cao Li, Wang Weijun, Ossi Taipale. Research on the Concept Model of Testing as a Service[J]. 现代图书情报技术, 2012, (11): 10-15.
[11] Zhang Yichi, Xiong Xiangwen, Huang Yawen, Wang Shixiong. Definition and Management of Test Data on Cloud Computing[J]. 现代图书情报技术, 2012, (11): 16-21.
[12] Udhyan Timilsina, Leah Riungu-Kalliosaari, Ossi Taipale, Kari Smolander, Wang Weijun. Security Issues on Testing of Public Cloud Applications[J]. 现代图书情报技术, 2012, (11): 22-33.
[13] Wang Jiabing. Developing a Remote Monitoring System for Library Computer Room Using Arduino and Android Terminal[J]. 现代图书情报技术, 2012, (10): 89-92.
[14] Ma Shaobing, Ma Ziwei. Construction of Digital Library Private Cloud Platform and Application Development[J]. 现代图书情报技术, 2011, 27(4): 9-16.
[15] Zhang Xingwang, Li Chenhui, Qin Xiaozhu. Research and Initial Implementation of Large-scale Data Processing Based on Cloud Computing[J]. 现代图书情报技术, 2011, 27(4): 17-23.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn