Research on Resource Feedback Retrieval Model Based on Ontology

Computer & Telecommunication

2015, Vol. 1

Issue (3): 31-33 DOI:

Current Issue | Archive | Adv Search

Research on Resource Feedback Retrieval Model Based on Ontology

Lin Lishu

Hainan College of Economics and Business

Download:

PDF(0KB)
Export: BibTeX | EndNote (RIS)

Abstract Focused on the problems of poor efficiency of the traditional retrieval systems which can not detect semantic information from user’s keywords, a resource feedback retrieval model is proposed in this paper. The main idea of the model is to use the technology of ontology construction and semantic annotation and expansion keywords which can use semantic knowledge form user’s feedback to meet user’s needs. The experimental results show that the retrieval performance can be improved effectively.

Key words： domain ontology resource retrieval knowledge feedback

Published: 08 November 2017

ZTFLH:

TP391

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Lin Lishu

Cite this article:

Lin Lishu. Research on Resource Feedback Retrieval Model Based on Ontology. Computer & Telecommunication, 2015, 1(3): 31-33.

URL:

http://www.computertelecom.com.cn/EN/ OR http://www.computertelecom.com.cn/EN/Y2015/V1/I3/31

[1]	ZHANG Gang , CHEN Jia-lian, SONG Jian, GUO Jun-qi, ZHOU Chen-rui. Chinese Landscape Painting Automated Generation Model Based on Generative Adversarial Networks[J]. 电脑与电信, 0, (): 1-.
[2]	ZHANG Gang , CHEN Jia-lian, SONG Jian, GUO Jun-qi, ZHOU Chen-rui. Chinese Landscape Painting Automated Generation Model Based on Generative Adversarial Networks[J]. 电脑与电信, 2020, 1(3): 1-.
[3]	LI Bo. Application of Grubbs Criterion in Project Evaluation System[J]. 电脑与电信, 2019, 1(6): 61-63.
[4]	ZHANG Hui-fang ZONG Cai-le ZHANG Xiao-lin. Chinese Text Feature Classification Based on Distributed Framework[J]. 电脑与电信, 2019, 1(5): 1-7.
[5]	WU Hai-jun. Research on Personal Information Security on Internet[J]. 电脑与电信, 2019, 1(5): 37-39.
[6]	LIU Xiao-qiang. Design and Implementation of Vehicle Search Engine in Insurance System Based on ElasticSearch[J]. 电脑与电信, 2019, 1(5): 51-55.
[7]	DAI Xiao-fang. A Moving Target Detection Technology Based on Compressed Sensing[J]. 电脑与电信, 2019, 1(5): 64-67.
[8]	YI Li-zhi. Research and Application of Image Clarity Processing in Haze Environment[J]. 电脑与电信, 2019, 1(4): 1-4.
[9]	CHEN Rong-zheng. Research on College Information Service Platform Based on Web Crawler and Wechat[J]. 电脑与电信, 2019, 1(3): 13-16.
[10]	GOU Ting-ting YAN Jin HUANG Ling-xiao LIU Li-bo. Image Defogging Technology Based on Dark Channel Prior[J]. 电脑与电信, 2019, 1(1-2): 5-8.
[11]	. Experience and Enlightenment of Agricultural Internet of Things Construction in Taizhou, Jiaxing and Hangzhou[J]. 电脑与电信, 2019, 1(1-2): 25-27.
[12]	CHEN Rong-zheng CHEN Jing-tao LIN Ze-ming. Research on Precise Employment Service System of College Students Based on Web Crawler and Intelligent Recommendation[J]. 电脑与电信, 2019, 1(1-2): 39-43.
[13]	YANG Si-yang HUANG Jun WU Chun-qiu. Geometric Image Color and Shape Recognition Based on Java + OpenCV[J]. 电脑与电信, 2019, 1(1-2): 79-82.
[14]	ZHUO Ma-ji. Research on Algorithms of Automatic Recognition and Disambiguation of Tibetan Free Functional Words in Tibetan Historical Documents Recognition[J]. 电脑与电信, 2018, 1(12): 20-22.
[15]	ZHAO Rong-yang LIANG Jia-hai ZHAO Hua-jun. Temperature and Humidity Monitoring System Based on ZigBee[J]. 电脑与电信, 2018, 1(12): 28-31.

Viewed

Full text

Abstract

Cited

Shared

Discussed