Please wait a minute...
New Technology of Library and Information Service  2006, Vol. 1 Issue (4): 35-36    DOI: 10.11925/infotech.1003-3513.2006.04.08
Current Issue | Archive | Adv Search |
The Development of Knowledge Retrieval System Based on Ontology
Wang Wei   Huang Chunyi   Li Qingmao
(School of Public Administration, Sichuan University, Chengdu 610064, China)
Download: PDF(0 KB)   HTML  
Export: BibTeX | EndNote (RIS)      

This system applies Ontology to knowledge retrieval field . It builds a family archives through protégé, then completes the retrieval interface, bedding data interface and logical inference interface through jena. Finally achieve logical inference through racer. As the system is based on the Java open source projects, it is transplantable and an also integrate other systems.

Key wordsKnowledge retrieval system      Ontology      Jena     
Received: 27 December 2005      Published: 25 April 2006


Corresponding Authors: Wang Wei     E-mail:
About author:: Wang Wei,Huang Chunyi,Li Qingmao

Cite this article:

Wang Wei,Huang Chunyi,Li Qingmao . The Development of Knowledge Retrieval System Based on Ontology. New Technology of Library and Information Service, 2006, 1(4): 35-36.

URL:     OR

1邓志鸿等. Ontology研究综述. 北京大学学报(自然科学版),2002(5):1-2
2叶鹏、樊孝忠. 动态语义知识网络的构建. 华北大学学报(自然科学版), 2004(2):2-3
3Boris Katz,Jimmy Lin and Dennis Quan. Natural Language Annotations for the Semantic web .2002,  (Accessed July 10, 2005)
4Natalya F.Noy and Deborah L.McGuinness. A Guide to Creating your First Ontology.2002,  (Accessed July 15, 2005)

[1] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[2] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[3] Ying Wang,Li Qian,Jing Xie,Zhijun Chang,Beibei Kong. Building Knowledge Graph with Sci-Tech Big Data[J]. 数据分析与知识发现, 2019, 3(1): 15-26.
[4] 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.
[5] Huihui Tang,Hao Wang,Zixuan Zhang,Xueying Wang. Extracting Names of Historical Events Based on Chinese Character Tags[J]. 数据分析与知识发现, 2018, 2(7): 89-100.
[6] Beibei Pang,Juanqiong Gou,Wenxin Mu. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[7] Shengchun Ding,Menglu Liu,Zhu Fu. Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design[J]. 数据分析与知识发现, 2018, 2(2): 11-19.
[8] 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.
[9] Erjing Chen,Enbo Jiang. Review of Studies on Text Similarity Measures[J]. 数据分析与知识发现, 2017, 1(6): 1-11.
[10] Rujiang Bai,Fuhai Leng,Junhua Liao. An Improved Cosine Text Similarity Computing Method Based on Semantic Chunk Feature[J]. 数据分析与知识发现, 2017, 1(6): 56-64.
[11] Dan Wu,Chang Liu,Yi Li. Changing Sentiments of Pedestrian Navigation System Users[J]. 数据分析与知识发现, 2017, 1(5): 42-51.
[12] Liu Jian,Bi Qiang,Liu Qingxu,Wang Fu. New Content Recommendation Service of Digital Literature[J]. 现代图书情报技术, 2016, 32(9): 70-77.
[13] Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
[14] Lu Jiaying,Yuan Qinjian,Huang Qi,Qian Yunjie. Building Product Domain Ontology with Concept Lattice Theory[J]. 现代图书情报技术, 2016, 32(5): 38-46.
[15] Zhang Lei,Ma Jing,Li Dandan,Shen Yang. Hypernetwork Model for Semantic Social Network and Automatic Identification of Key Nodes[J]. 现代图书情报技术, 2016, 32(3): 8-17.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938