Please wait a minute...
New Technology of Library and Information Service  2007, Vol. 2 Issue (2): 53-55    DOI: 10.11925/infotech.1003-3513.2007.02.11
Current Issue | Archive | Adv Search |
Ontology-Based Web Information Gathering
Xu Dezhi   Wang Qingtao   Wang Bin
(College of Information Science and Engineering, Central South University, Changsha 410083, China)
Download: PDF(449 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  

Combining the semantic Web technology with the traditional information retrieval technology,this paper gives architecture of Ontology-based Web information gathering, and proposes an approach for calculating the relevance between the Web pages and the predefined topic utilizing Ontology and lexicon. At last, some results of experiment and evaluations are discussed.

Key wordsInformation gathering      Ontology      Semantic Web      Topic-specific relevance     
Received: 29 September 2006      Published: 25 February 2007
: 

TP391

 
Corresponding Authors: Wang Qingtao     E-mail: searchwang@163.com
About author:: Xu Dezhi,Wang Qingtao,Wang Bin

Cite this article:

Xu Dezhi,Wang Qingtao,Wang Bin . Ontology-Based Web Information Gathering. New Technology of Library and Information Service, 2007, 2(2): 53-55.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.02.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I2/53

1Michelangelo Diligenti, Frans Coetzee, Steve Lawrence, C. Lee Giles, Marco Gori. Focused Crawling Using Context Graphs. Cairo:26th International Conference on Very Large Databases(VLDB 2000),2000.527-534
2Charu Aggarwal, Fatima Al-Garawi, Phillip Yu. Intelligent crawling on the World Wide Web with arbitrary predicates. Hong Kong: In Proceedings of the 10th International World Wide Web Conference,2001.96-105
3潘春华, 武港山.面向主题的Web信息收集系统的设计与实现.小型微型计算机系统, 2003, 24(12):2150-2154
4Yuri A. Tijerino, Reza Sanati. Onto TEMAS: an ontology-based teaching materials search engine. Journal of Computing Sciences in Colleges, 2005, 20(4):177-182
5陈康, 武港山.基于Ontology 的信息检索技术研究.中文信息学报, 2005, 19(2):51-57
6刘群, 李素建. 基于《知网》的词汇语义相似度计算. 台北:第三届汉语词汇语义学研讨会论文集, 2002.59-76
7张敏,马少平,宋睿华. DF还是IDF?主特征模型在Web信息检索中的使用. 软件学报, 2005,16(5):1012-1020

[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   E-mail:jishu@mail.las.ac.cn