Please wait a minute...
New Technology of Library and Information Service  2016, Vol. 32 Issue (5): 38-46    DOI: 10.11925/infotech.1003-3513.2016.05.05
Orginal Article Current Issue | Archive | Adv Search |
Building Product Domain Ontology with Concept Lattice Theory
Lu Jiaying1(),Yuan Qinjian1,Huang Qi2,Qian Yunjie1
1School of Information Management, Nanjing University, Nanjing 210093, China
2State Information Resources Management Research Base, Nanjing University, Nanjing 210093, China
Download: PDF(3944 KB)   HTML ( 50
Export: BibTeX | EndNote (RIS)      

[Objective] The paper proposes a method to create new Ontology for reusable products based on the concept lattice theory, aiming to improve the traditional methodology. [Methods] First, we extracted classes, attributes and relationships data from product categories and made appropriate adjustments. Second, we created formal contexts and concept lattices to generate product Ontology automatically. [Results] The proposed method improved the product classification scheme and enhanced the reusability and sharing of Ontology. It also visualized the existing and potential entities as well as their relationships. [Limitations] Only used a segment of medical product Ontology to implement the proposed method, and then discussed its flexibility for eCl@ss product classification system. [Conclusions] The field and scope of Ontology need to be clearly defined before we construct product Ontology based on concept lattice. The categories should be sorted and grouped with scientific classification principles. We also need to build the property dictionary and define object properties. The Ontology will be generated automatically with formal context and concept lattice.

Key wordsConcept Lattice      Domain Ontology      Ontology construction      Product Ontology     
Received: 27 December 2015      Published: 24 June 2016

Cite this article:

Lu Jiaying,Yuan Qinjian,Huang Qi,Qian Yunjie. Building Product Domain Ontology with Concept Lattice Theory. New Technology of Library and Information Service, 2016, 32(5): 38-46.

URL:     OR

[1] Wille R.Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts [A]. // Ivan Rival. Ordered Sets[M]. Netherlands: Springer, 1982: 445-470.
[2] 谢志鹏, 刘宗田. 概念格与关联规则发现[J]. 计算机研究与发展, 2000, 37(12): 1415-1421.
[2] (Xie Zhipeng, Liu Zongtian.Concept Lattice and Association Rule Discovery[J]. Journal of Computer Research and Development, 2000, 37(12): 1415-1421.)
[3] 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.
[3] (Bi Qiang, Teng Guangqing.Analysis of the Progress and Hotspots in Applied Research of FCA and Concept Lattice Theory Abroad[J]. New Technology of Library and Information Service, 2010 (11): 17-23.)
[4] 胡可云, 陆玉昌. 概念格及其应用进展[J]. 清华大学学报: 自然科学版, 2000, 40(9): 77-81.
[4] (Hu Keyun, Lu Yuchang.The Concept Lattice and Its Application Progress[J]. Journal of Tsinghua University: Science and Technology, 2000, 40(9): 77-81.)
[5] Haav H M.A Semi-Automatic Method to Ontology Design by Using FCA [C]. In: Proceedings of the 2nd International Workshop on Concept Lattices and their Application, 2004: 13-24.
[6] Cimiano P, Hotho A, Stumme G, et al.Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies [C]. In: Proceedings of the 17th International Conference on Industrial and Engineering Application of Artificial Intelligence and Expert System. 2004: 189-207.
[7] 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.
[7] (Liu Ping, Hu Yuehong.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.)
[8] Nanda J, Simpson T W, Kumara S R, et al.A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language[J]. Journal of Computing and Information Science in Engineering, 2006, 6(2): 103-113.
[9] 欧阳纯萍, 胡长军, 李扬, 等. 一种基于FCA的面向关系数据库的本体学习方法[J]. 计算机科学, 2011, 38(12): 167-171.
[9] (Ouyang Chunping, Hu Changjun, Li Yang, et al.Approach of Ontology Learning from Relational Database Based on FCA[J]. Computer Science, 2011, 38(12): 167-171.)
[10] 滕广青, 毕强. 基于概念格的异构资源领域本体构建研究[J]. 现代图书情报技术, 2011(5): 7-12.
[10] (Teng Guangqing, Bi Qiang.A Study on Domain Ontology Construction from Heterogeneous Resources Based on Concept Lattice[J]. New Technology of Library and Information Service, 2011(5): 7-12.)
[11] 黄奇, 郑建国. 基于语义分析的产品分类本体查询研究[J]. 情报学报, 2015, 34(4): 398-413.
[11] (Huang Qi, Zheng Jianguo.Ontology Query for Product Classification Based on Semantic Analysis[J]. Journal of the China Society for Scientific and Technical Information, 2015, 34(4): 398-413.)
[12] Noy N F, McGuinness D L. Ontology Development 101: A Guide to Creating Your First Ontology [R]. Stanford: Stanford Knowledge Systems Laboratory Technical Report, 2001: 1-25.
[13] Uschold M, Gruninger M.Ontologies: Principles, Methods and Applications[J]. Knowledge Engineering Review, 1996, 11(2): 93-136.
[14] National Cancer Institute.OWLFCAView Manual [EB/OL]. [2015-05-02].
[15] eCl@ss. eCl@ss Wiki [EB/OL]. [2015-06-08]. .
[16] Gu T, Wang X H, Pung H K, et al.An Ontology-Based Context Model in Intelligent Environments [C]. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference. 2004: 270-275.
[1] 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.
[2] Youshi He,Shufang He. 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.
[3] Haili Tu,Xiaobo Tang. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[4] Bao Yulai,Bi Qiang. Semantic Retrieval for Mongolian Music: An Explorative Study[J]. 现代图书情报技术, 2016, 32(11): 94-100.
[5] Zhang Fan, Le Xiaoqiu. Research on Recognition of Concept Attribute Instances in Innovation Sentences of Scientific Research Paper[J]. 现代图书情报技术, 2015, 31(5): 15-23.
[6] Duan Yufeng, Zhu Wenjing, Chen Qiao, Liu Wei, Liu Fenghong. The Study on Out-of-Vocabulary Identification on a Model Based on the Combination of CRFs and Domain Ontology Elements Set[J]. 现代图书情报技术, 2015, 31(4): 41-49.
[7] Duan Yufeng, Huang Sisi. Research on Construction of Chinese Plant Species Diversity Domain Ontology Based on BFO[J]. 现代图书情报技术, 2015, 31(12): 72-79.
[8] Yan Shiyan, Wang Shengqing, Luo Yunchuan, Huang Haojun. An Ontology Collaborative Construction Model Based on FCA in Cloud Computing Environment[J]. 现代图书情报技术, 2014, 30(3): 49-56.
[9] He Jinjing, Dou Yongxiang. Overview on Construction of Ontology in Social Tagging System[J]. 现代图书情报技术, 2013, (6): 16-22.
[10] Yao Xiaona, Zhu Zhongming, Wang Sili. Research on Automatic Semantic Annotation for Geosciences[J]. 现代图书情报技术, 2013, (4): 48-53.
[11] Xue Jianwu, Zhao Na, Wang Dongna. The Research on the Refinement of Relationship Between Words in Thesauri and Application Based on Ontology Construction[J]. 现代图书情报技术, 2013, 29(3): 14-20.
[12] Xu Xin, Guo Jinlong. Construction of Subject Knowledge Base——Taking the Domain of Chinese Cuisine Culture as an Example[J]. 现代图书情报技术, 2013, (12): 2-9.
[13] Guo Jinlong, Hong Yunjia, Xu Xin. Construction and Application of Ontology in the Domain of Chinese Cuisine Culture[J]. 现代图书情报技术, 2013, (12): 10-18.
[14] Hong Yunjia, Xu Xin. Study on Multi-level Text Clustering for Knowledge Base Based on Domain Ontology——Taking Knowledge Base of Chinese Cuisine Culture as an Example[J]. 现代图书情报技术, 2013, (12): 19-26.
[15] Jin Biyi, Guo Jinlong, Xu Xin. Research on Using Domain Ontology to Optimize the Document Retrieval——Design and Implementation on the KIM Platform[J]. 现代图书情报技术, 2013, (12): 27-33.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938