Please wait a minute...
New Technology of Library and Information Service  2009, Vol. 25 Issue (11): 40-43    DOI: 10.11925/infotech.1003-3513.2009.11.08
article Current Issue | Archive | Adv Search |
The Comprehensive Quantification Research of Semantic Similarity and Relevance Based on Domain Ontology
Duan Shoujian1  Yang Chaofeng1  Gan Jianhou2
1(Department of Computer Science, Baoshan College, Baoshan 678000, China)
2(College of Computer Science and Information Engineering, Yunnan Normal University, Kunming 650092, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper discusses semantic similarity and relevance based on domain Ontology. By analyzing and summarizing the various factors of existing quantification method, it proposes and implements a comprehensive quantification model of concepts in domain Ontology, which takes full account of the semantic similarity and relevance. This model applies the quantification results to semantic query expansion, and achieves a good effect.

Key wordsDomain Ontology      Similarity      Relevance      Comprehensive quantification     
Received: 12 October 2009      Published: 25 November 2009
: 

TP391

 
Corresponding Authors: Duan Shoujian     E-mail: foreverdy@21cn.com
About author:: Duan Shoujian,Yang Chaofeng,Gan Jianhou

Cite this article:

Duan Shoujian,Yang Chaofeng,Gan Jianhou. The Comprehensive Quantification Research of Semantic Similarity and Relevance Based on Domain Ontology. New Technology of Library and Information Service, 2009, 25(11): 40-43.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2009.11.08     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2009/V25/I11/40

[1] 张柯.基于概念格的语义相关度计算及应用[D].开封:河南大学,2007.
[2] 刘群,李素建.基于《知网》的词汇语义相似度计算[J].中文计算语言学,2002,7(2):59-76.
[3] 王进.基于本体的语义信息检索研究[D].北京:中国科学技术大学,2006.
[4] Resnik P. Using Information Content to Evaluate Semantic Similarity in a Taxonomy[C]. In:Proceedings of the International Joint Conference on Artificial Intelligence,Montreal,Canada.1995:448-453.
[5] 徐德智,王怀民.基于本体的概念间语义相似度计算方法研究[J].计算机工程与应用,2007, 43(8):154-156.
[6] 朱礼军,陶兰,刘慧.领域本体中的概念相似度研究[J].华南理工大学学报:自然科学版, 2004,32(1):147-150.
[7] Andreasen T, Bulskov H,Knappe R. From Ontology over Similarity to Query Evaluation[EB/OL].[2008-11-05]. http://akira.ruc.dk/~knappe/publications/ces2003.pdf.
[8] 聂卉,龙朝晖.结合语义相似度与相关度的概念扩展[J].情报学报,2007,26(5):728-732.
[9] 段寿建,夏幼明,甘健侯.基于本体和Lucene的语义检索模型设计与实现[J].现代电子技术,2009,32(12):36-38.

[1] 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.
[2] Han Hui, Liu Xiuwen. Automatic Scoring for Subjective Questions in Maritime Competency Assessment[J]. 数据分析与知识发现, 2021, 5(8): 113-121.
[3] Liu Wenbin, He Yanqing, Wu Zhenfeng, Dong Cheng. Sentence Alignment Method Based on BERT and Multi-similarity Fusion[J]. 数据分析与知识发现, 2021, 5(7): 48-58.
[4] Xiang Zhuoyuan,Liu Zhicong,Wu Yu. Adaptive Recommendation Model Based on User Behaviors[J]. 数据分析与知识发现, 2021, 5(4): 103-114.
[5] Yan Qiang,Zhang Xiaoyan,Zhou Simin. Extracting Keywords Based on Sememe Similarity[J]. 数据分析与知识发现, 2021, 5(4): 80-89.
[6] Lv Xueqiang,Luo Yixiong,Li Jiaquan,You Xindong. Review of Studies on Detecting Chinese Patent Infringements[J]. 数据分析与知识发现, 2021, 5(3): 60-68.
[7] Wu Yanwen, Cai Qiuting, Liu Zhi, Deng Yunze. Digital Resource Recommendation Based on Multi-Source Data and Scene Similarity Calculation[J]. 数据分析与知识发现, 2021, 5(11): 114-123.
[8] Li Zhenyu, Li Shuqing. Deep Collaborative Filtering Algorithm with Embedding Implicit Similarity Groups[J]. 数据分析与知识发现, 2021, 5(11): 124-134.
[9] Sheng Jiaqi, Xu Xin. Expanding Scholar Labels with Research Similarity and Co-authorship Network[J]. 数据分析与知识发现, 2020, 4(8): 75-85.
[10] Xu Yicong,Tian Xuedong,Li Xinfu,Yang Fang,Shi Qingxuan. Retrieving Mathematical Expressions Based on Hesitant Fuzzy Weight[J]. 数据分析与知识发现, 2020, 4(7): 118-126.
[11] Su Qing,Chen Sizhao,Wu Weimin,Li Xiaomei,Huang Tiankuan. Personalized Recommendation Model Based on Collaborative Filtering Algorithm of Learning Situation[J]. 数据分析与知识发现, 2020, 4(5): 105-117.
[12] Liu Ping,Peng Xiaofang. Calculating Word Similarities Based on Formal Concept Analysis[J]. 数据分析与知识发现, 2020, 4(5): 66-74.
[13] Wei Guohui,Zhang Fengcong,Fu Xianjun,Wang Zhenguo. Similarity Measurement of Traditional Chinese Medicine Components for Cold-hot Nature Discrimination[J]. 数据分析与知识发现, 2020, 4(5): 75-83.
[14] Gao Yuan,Shi Yuanlei,Zhang Lei,Cao Tianyi,Feng Jun. Reconstructing Tour Routes Based on Travel Notes[J]. 数据分析与知识发现, 2020, 4(2/3): 165-172.
[15] Han Kangkang,Xu Jianmin,Zhang Bin. Recommending Microblogs with User’s Interests and Multidimensional Trust[J]. 数据分析与知识发现, 2020, 4(12): 95-104.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn