Please wait a minute...
New Technology of Library and Information Service  2004, Vol. 20 Issue (7): 17-22    DOI: 10.11925/infotech.1003-3513.2004.07.04
Current Issue | Archive | Adv Search |
Comparison of Seven Approaches in Constructing Ontology
Li Jing    Meng Liansheng
(Library of Chinese Academy of Sciences,Beijing 100080,China)
Export: BibTeX | EndNote (RIS)      

 There are seven approaches of constructing ontology having been introduced in this article. Through comp
aring them with different aspects, their advantages, shortcoming and distinctions been disclosed.

Key wordsConstructing ontology      Approaches      Class     
Received: 23 February 2004      Published: 25 July 2004



Corresponding Authors: Li Jing     E-mail:
About author:: Li Jing,Meng Liansheng

Cite this article:

Li Jing,Meng Liansheng. Comparison of Seven Approaches in Constructing Ontology. New Technology of Library and Information Service, 2004, 20(7): 17-22.

URL:     OR

1  Uschold, Mike and Michael Gruninger. 1996. Ontologies:
Principles, Methods and Applications. Knowledge Engineering Review. 11(2)
2  Mahesh, K. and S. Nirenburg. 1996. Meaning Representation for Kno
dge Sharing in Practical Machine Translation. Proceedings of the AI Resource Sem
inar: Special Track on Information Interchange, Florida.
3  John A. Bateman (1993). Ontology construction and natural language.
In: Proceedings of the International Workshop on Formal Ontology. Padova, Italy,
 pp. 83-93. Published by LABSEB-CNR. LADSEB-CNR Internal Report 01/93; edited b
y: N. Guarino and R. Poli.
4  Peter D. Karp and Thomas R. Gruber (1995). A Generic Knowledge-base
Access Protocol. Proceedings of the International Joint Conferences on Artificia
l Intelligence, Montreal, 1995. An ontology-based knowledge sharing API for AI p
5  Fox, Mark. 1995. SRKB Mailing List, 9th of June, 1995
6  Gruninger, Michael. 1996. Designing and Evaluating Generic Ontolo
gies. Proceedings of ECAI96's Workshop on Ontological Engineering. pp. 53-64
7  杨秋芬,陈跃新. Ontology方法学综述. 计算机应用与研究,2002(4):5-7
8  Fernández, Mariano.1996. CHEMICALS: Ontologia de Elementos Quím
s.Proyecto Fin de Carrera, Fac. de Informática, Unpublished Project Manuscript.
9  Fernández, Mariano. 1999. Overview of Methodologies for Building
tologies. Proceedings of IJCAI99's Workshop on Ontologies and Problem Solving Me
thods: Lessons Learned and Future Trends. pp. 4.1-4,13
10  M. Uschold and M. King. Towards a methodology for building ontologies. I
n Wo
rkshop on Basic Ontological Issues in Knowledge Sharing, held in conjunction wit
h IJCAI-95, Montreal, Canada, 1995
11  The KACTUS Booklet version 1.0. Esprit Project 8145. September, 1996.
12  ISI Natural language processing research group. Ontology Creation and Us
e: SENSUS. Sept.11,2003)
13  KBSI. IDEF5 Ontology Description Capture Overview. 2000-06-23. Oct.1,2003)
14  Natalya F. Noy and Deborah L. McGuinness. Ontology Development 101: A Gu
ide to Creating Your First Ontology. 2001-08 Oct.12,2002)

[1] Fan Shaoping,Zhao Yuxuan,An Xinying,Wu Qingqiang. Classification Model for Medical Entity Relations with Convolutional Neural Network[J]. 数据分析与知识发现, 2021, 5(9): 75-84.
[2] Chen Jie,Ma Jing,Li Xiaofeng. Short-Text Classification Method with Text Features from Pre-trained Models[J]. 数据分析与知识发现, 2021, 5(9): 21-30.
[3] Zhou Zeyu,Wang Hao,Zhao Zibo,Li Yueyan,Zhang Xiaoqin. Construction and Application of GCN Model for Text Classification with Associated Information[J]. 数据分析与知识发现, 2021, 5(9): 31-41.
[4] Lu Quan, He Chao, Chen Jing, Tian Min, Liu Ting. A Multi-Label Classification Model with Two-Stage Transfer Learning[J]. 数据分析与知识发现, 2021, 5(7): 91-100.
[5] Xie Hao,Mao Jin,Li Gang. Sentiment Classification of Image-Text Information with Multi-Layer Semantic Fusion[J]. 数据分析与知识发现, 2021, 5(6): 103-114.
[6] Yu Bengong,Zhu Xiaojie,Zhang Ziwei. A Capsule Network Model for Text Classification with Multi-level Feature Extraction[J]. 数据分析与知识发现, 2021, 5(6): 93-102.
[7] Meng Zhen,Wang Hao,Yu Wei,Deng Sanhong,Zhang Baolong. Vocal Music Classification Based on Multi-category Feature Fusion[J]. 数据分析与知识发现, 2021, 5(5): 59-70.
[8] Zhang Mengyao, Zhu Guangli, Zhang Shunxiang, Zhang Biao. Grouping Microblog Users of Trending Topics Based on Sentiment Analysis[J]. 数据分析与知识发现, 2021, 5(2): 43-49.
[9] Wang Hong, Shu Zhan, Gao Yinquan, Tian Wenhong. Analyzing Implicit Discourse Relation with Single Classifier and Multi-Task Network[J]. 数据分析与知识发现, 2021, 5(11): 80-88.
[10] Dong Miao, Su Zhongqi, Zhou Xiaobei, Lan Xue, Cui Zhigang, Cui Lei. Improving PubMedBERT for CID-Entity-Relation Classification Using Text-CNN[J]. 数据分析与知识发现, 2021, 5(11): 145-152.
[11] Feng Hao, Li Shuqing. Multi-layer Cascade Classifier for Credit Scoring with Multiple-Support Vector Machines[J]. 数据分析与知识发现, 2021, 5(10): 28-36.
[12] Wang Yan, Wang Huyan, Yu Bengong. Chinese Text Classification with Feature Fusion[J]. 数据分析与知识发现, 2021, 5(10): 1-14.
[13] Leng Jidong,Lv Xueqiang,Jiang Yang,Li Guolin. Consensus Mechanisms of Consortium Blockchain: A Survey[J]. 数据分析与知识发现, 2021, 5(1): 56-65.
[14] Yu Bengong, Zhu Mengdi. Question Classification Based on Bidirectional GRU with Hierarchical Attention and Multi-channel Convolution[J]. 数据分析与知识发现, 2020, 4(8): 50-62.
[15] Zhao Yang, Zhang Zhixiong, Liu Huan, Ding Liangping. Classification of Chinese Medical Literature with BERT Model[J]. 数据分析与知识发现, 2020, 4(8): 41-49.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938