Please wait a minute...
New Technology of Library and Information Service  2006, Vol. 1 Issue (3): 51-54    DOI: 10.11925/infotech.1003-3513.2006.03.11
Current Issue | Archive | Adv Search |
Research on OWL Knowledge Representation Method Based on Curriculum System
Yu Juan   Wang Jianzhen   Ma Jinping   Li Yong
(Department of Management Science and Engineering, Qingdao University, Qingdao 266071,China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

A teaching and researching aid system platform based on Semantic Web is developed to help university teachers and students in information retrieval and knowledge obtaining so that they can grasp the latest development of their fields. This paper probes into the knowledge representation method of the system platform. It advances a method that uses Web Ontology Language (OWL) as the representation language, the curriculum system as the basement and course content as the representing content. It explains the implement of this representation method with an application. This knowledge representing method is proper for all kinds of digital knowledge.

Key wordsSemantic Web      OWL      Knowledge representation      Curriculum system      Teaching and researching aid system     
Received: 26 December 2005      Published: 25 March 2006
: 

TP182

 
Corresponding Authors: Yu Juan     E-mail: infoyujuan@163.com
About author:: Yu Juan,Wang Jianzhen,Ma Jinping,Li Yong

Cite this article:

Yu Juan,Wang Jianzhen,Ma Jinping,Li Yong . Research on OWL Knowledge Representation Method Based on Curriculum System. New Technology of Library and Information Service, 2006, 1(3): 51-54.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.03.11     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I3/51

1Tim Berners-Lee. Semantic Web-XML2000, http://www.w3.org/2000/Talks/1206-xml2k-tbl/(Accessed Dec.02, 2004)
2W3C. Semantic Web Activity Statement. http://www.w3.org/2001/se/Activity(Accessed Dec.02, 2004)
3Graham Klyne; Jeremy J. Carroll. Resource Description Framework (RDF): Concepts and Abstract Syntax. http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/(Accessed Jul.14, 2004)
4Brickley D; Guha R. Resource Description Framework (RDF) Schema Specification. http://www.w3.org/TR/2000/CR-rdf-schema-20000327(Accessed Jul.14, 2004)
5Tim Berners-Lee; et al. Some Notes on the differences Between DAML+OIL and OIL. http://www.daml.org/2000/12/difference-oil.html(Accessed Sep.26, 2004)
6Uche Ogbuji;Roxane Ouellet. DAML Reference. http://www.xml.com/pub/at/3(Accessed Sep.26, 2004)
7Connolly D; et al. DAML+OIL (March 2001) Reference Description, W3C Note. http://www.w3.org/TR/2001/NOTE+DAML+OIL-reference-20011218(Accessed Sep.26, 2004)
8Michael K. Smith; Chris Welty; et al. OWL Web Ontology Language Guide. http://www.w3.org/TR/2004/REC-owl-guide-20040210/(Accessed Jan.1, 2005)
9Deborah L. McGuinness; et al. OWL Web Ontology Language Overview. http://www.w3.org/TR/2004/REC-owl-features-20040210/(Accessed Jan.1, 2005)
10陈文彬. Ontology在图书服务网络中的应用. 现代图书情报技术, 2003, 104(6): 8-12
11Thompson H S; et al. XML Schema Part 1: Structures. http://www.w3.org/TR/2001/REC-xmlschema-1-20010502/(Accessed Jun 18, 2005)
12Matthew Horridge; Holger Knublauch; et al. A practical guide to building OWL ontology using the protégé-OWL Plugin and CO-ODE tools. The University of Manchester, 2004.8
13Sean Bechhofer; Raphael Volz; Phillip Lord. Cooking the Semantic Web with the OWL API. Springer-Verlag GmbH, 2003, 2870(10): 659-675
14Alan Rector. Representing Specified Values in OWL: "value partitions" and "value sets". http://www.w3.org/TR/2005/NOTE-swbp-specified-values-20050517(Accessed May.21, 2005)
15Mike Dean; Guus Schreiber; et al. OWL Web Ontology Language Reference. http://www.w3.org/TR/2004/REC-owl-ref-20040210/(Accessed Jan.1, 2005)
16Frank Manola; Eric Miller. RDF Primerhttp://www.w3.org/TR/2004/REC-rdf-primer-20040210/(Accessed Sep.26, 2004)
17Su. H; Kramer D; et al. XEM: Managing the evolution of XML documents. 11th International Workshop on Research Issues on Data Engineering. US: IEEE, 2001:103-110

[1] Shan Xiaohong,Wang Chunwen,Liu Xiaoyan,Han Shengxi,Yang Juan. Identifying Lead Users in Open Innovation Community from Knowledge-based Perspectives[J]. 数据分析与知识发现, 2021, 5(9): 85-96.
[2] Li Wenna,Zhang Zhixiong. Research on Knowledge Base Error Detection Method Based on Confidence Learning[J]. 数据分析与知识发现, 2021, 5(9): 1-9.
[3] Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
[4] Zhou Yang,Li Xuejun,Wang Donglei,Chen Fang,Peng Lijuan. Visualizing Knowledge Graph for Explosive Formula Design[J]. 数据分析与知识发现, 2021, 5(9): 42-53.
[5] Chai Qingfeng, Shi Linyan, Mei Shan, Xiong Haitao, He Huixin. Extracting Knowledge Elements of Sci-Tech Literature Based on Artificial and Machine Features[J]. 数据分析与知识发现, 2021, 5(8): 132-144.
[6] Shen Kejie, Huang Huanting, Hua Bolin. Constructing Knowledge Graph with Public Resumes[J]. 数据分析与知识发现, 2021, 5(7): 81-90.
[7] Ruan Xiaoyun,Liao Jianbin,Li Xiang,Yang Yang,Li Daifeng. Interpretable Recommendation of Reinforcement Learning Based on Talent Knowledge Graph Reasoning[J]. 数据分析与知识发现, 2021, 5(6): 36-50.
[8] Lu Linong,Zhu Zhongming,Zhang Wangqiang,Wang Xiaochun. Cross-database Knowledge Integration and Fingerprint of Institutional Repositories with Lingo3G Clustering Algorithm[J]. 数据分析与知识发现, 2021, 5(5): 127-132.
[9] Li He,Liu Jiayu,Li Shiyu,Wu Di,Jin Shuaiqi. Optimizing Automatic Question Answering System Based on Disease Knowledge Graph[J]. 数据分析与知识发现, 2021, 5(5): 115-126.
[10] Dai Bing,Hu Zhengyin. Review of Studies on Literature-Based Discovery[J]. 数据分析与知识发现, 2021, 5(4): 1-12.
[11] Shi Xiang,Liu Ping. Extraction and Representation of Domain Knowledge with Semantic Description Model and Knowledge Elements——Case Study of Information Retrieval[J]. 数据分析与知识发现, 2021, 5(4): 123-133.
[12] Li Ming, Li Ying, Zhou Qing, Wang Jun. Analyzing Knowledge Demand and Supply of Community Question Answering with TF-PIDF[J]. 数据分析与知识发现, 2021, 5(2): 106-115.
[13] Yu Chuanming, Zhang Zhengang, Kong Lingge. Comparing Knowledge Graph Representation Models for Link Prediction[J]. 数据分析与知识发现, 2021, 5(11): 29-44.
[14] Hua Bin, Wu Nuo, He Xin. Integrating Expert Reviews for Government Information Projects with Knowledge Fusion[J]. 数据分析与知识发现, 2021, 5(10): 124-136.
[15] Chen Shiji, Qiu Junping, Yu Bo. Topic Analysis of LIS Big Data Research with Overlay Mapping[J]. 数据分析与知识发现, 2021, 5(10): 51-59.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn