Please wait a minute...
New Technology of Library and Information Service  2013, Vol. 29 Issue (7/8): 22-27    DOI: 10.11925/infotech.1003-3513.2013.07-08.03
article Current Issue | Archive | Adv Search |
Implementation of Semantic Retrieval Based on Ontology Created by SKOS and Association Rule Mining
Liu Wei, Zhu Zhongming, Zhang Wangqiang, Wang Sili, Yao Xiaona, Lu Linong
The Lanzhou Branch of National Science Library, Chinese Academy of Sciences, Lanzhou 730000, China
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  This paper proposes an Ontology construction and application solution. Firstly, the authors create Ontology through the conversion of SKOS.Then, association rules are mined to supply association property between classes. Finally, semantic retrieval is achieved by using retrieval and reasoning techniques based on Ontology.
Key wordsOntology      SKOS      Association rule mining      Semantic retrieval     
Received: 28 June 2013      Published: 02 September 2013
: 

G250

 

Cite this article:

Liu Wei, Zhu Zhongming, Zhang Wangqiang, Wang Sili, Yao Xiaona, Lu Linong. Implementation of Semantic Retrieval Based on Ontology Created by SKOS and Association Rule Mining. New Technology of Library and Information Service, 2013, 29(7/8): 22-27.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.07-08.03     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V29/I7/8/22

[1] 刘春艳,陈淑萍,伍玉成.基于SKOS的叙词表到本体的转换研究[J]. 现代图书情报技术,2007(5):32-35. (Liu Chunyan,Chen Shuping,Wu Yucheng. The Transformation from Thesaurus to Ontology Based on SKOS[J]. New Technology of Library and Information Service, 2007(5):32-35.)
[2] Agriculture Ontology Service/Concept Server[EB/OL].[2013-03-23]. http://aims.fao.org/website/AOS-:-Registries.
[3] Wielinga B J,Schreiber A T,Wielemaker J.From Thesaurus to Ontology[EB/OL].[2013-03-24].http://dl.acm.org/citation.cfm?id=500767.
[4] Van Assem M,Menken M,Schreiber G,et al.A Method for Converting Thesauri to RDF/OWL[C/OL]. In: Proceedings of the 3rd International Semantic Web Conference(ISWC'04), Hiroshima, Japan. Berlin, Heidelberg: Springer-Verlag,2004.[2013-03-23].http://link.springer.com/chapter/10.1007/978-3-540-30475-3_3.
[5] Qin J, Paling S. Converting a Controlled Vocabulary into an Ontology: The Case of GEM[J/OL]. Information Research,2001,6(2).[2013-03-23]. http://InformationR.net/ir/6-2/paper94.html.
[6] 曾新红.《中国分类主题词表》的OWL表示及其语义深层提示研究[J]. 情报学报,2005,24(2):151-160. (Zeng Xinhong. Research on Representation of Chinese Classified Thesaurus in OWL and Its Implied Semantic Reveal[J].Journal of the China Society for Scientific and Technical Information,2005,24(2):151-160.)
[7] 贾君枝.《汉语主题词表》转换为本体的思考[J]. 中国图书馆学报,2007,33(4):41-44.(Jia Junzhi.On the Conversion of Classified Chinese Thesaurus to an Ontology[J].Journal of Library Science in China,2007,33(4):41-44.)
[8] OWL. Web Ontology Language[EB/OL].[2012-07-17]. http://www.w3.org/TR/2004/REC-owl-guide-20040210/.
[9] Agrawal R, Srikant R. Fast Algorithms for Mining Association Rules[C].In: Proceedings of the 20th International Conference on Very Large Data Bases,Santiago,Chile.1994:487-499.
[1] Sheng Shu, Huang Qi, Yang Yang, Xie Qiwen, Qin Xinguo. Exchanging Chinese Medical Information Based on HL7 FHIR[J]. 数据分析与知识发现, 2021, 5(11): 13-28.
[2] Zeng Zhen,Li Gang,Mao Jin,Chen Jinghao. Data Governance and Domain Ontology of Regional Public Security[J]. 数据分析与知识发现, 2020, 4(9): 41-55.
[3] Shaohua Qiang,Yunlu Luo,Yupeng Li,Peng Wu. Ontology Reasoning for Financial Affairs with RBR and CBR[J]. 数据分析与知识发现, 2019, 3(8): 94-104.
[4] 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.
[5] 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.
[6] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[7] 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.
[8] He Youshi,He Shufang. 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.
[9] Tang Huihui,Wang Hao,Zhang Zixuan,Wang Xueying. 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.
[10] Pang Beibei,Gou Juanqiong,Mu Wenxin. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[11] Ding Shengchun,Liu Menglu,Fu Zhu. 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.
[12] Tu Haili,Tang Xiaobo. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[13] Chen Erjing,Jiang Enbo. Review of Studies on Text Similarity Measures[J]. 数据分析与知识发现, 2017, 1(6): 1-11.
[14] Bai Rujiang,Leng Fuhai,Liao Junhua. 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.
[15] Wu Dan,Liu Chang,Li Yi. Changing Sentiments of Pedestrian Navigation System Users[J]. 数据分析与知识发现, 2017, 1(5): 42-51.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn