Research of the Web Information Extraction Technology on Tourism Theme

Qi Shen; Qing Ming Song; Bo Chen

doi:10.4028/www.scientific.net/AMM.614.503

Paper Titles

Ethernet Node Controller for Main Reflector of Radio Telescope
p.480

Improved Indoor Ultrasonic Positioning for Smartphones Using TDOA
p.484

Multicast Routing Protocols in Delay Tolerant Networks
p.490

Parking Information Interaction of Global Internet of Things Based on the Timer and Elastic Pressure Switch Sensor Combination
p.497

Research of the Web Information Extraction Technology on Tourism Theme
p.503

Research on Petrochemical Plant Safety Management System Basis of Cloud Computing
p.507

Serviceology Education Community Based on Social Networking Service
p.513

The Fax Software Development of Smart Fixed Phone Based on Android Platform
p.517

Parallel Implementation of BP Neural Network for Traffic Prediction on Sunway Blue Light Supercomputer
p.521

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 614Research of the Web Information Extraction...

Research of the Web Information Extraction Technology on Tourism Theme

Abstract:

With the development of web technology, the use of dynamic web pages and the personalization of page contents become more and more popular. Currently, the information of page is protean and the structures of different pages are vastly different, the traditional thinking of web information extraction technology has been difficult to adapt to the situation. In this paper, proposes a web information extraction method based on extended XPath policy through the analysis of structural features of web pages on tourist theme. This algorithm avoids the defects of traditional web information extraction technology; it is simple, practical, high cleaning efficiency, accuracy, and saving the overhead of the system.

You might also be interested in these eBooks

International Conference Machinery, Electronics and Control Simulation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 614)

Pages:

503-506

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.614.503

Citation:

Cite this paper

Online since:

September 2014

Authors:

Qi Shen*, Qing Ming Song, Bo Chen

Keywords:

HTML, Tourist Theme Pages, Web Information Extraction, XPath

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Li Qingyong, Shi Zhiping, Shi Jun, Shi Zhongzhi. Swarm Intelligence Clustering Algorithm based on Attractor[c]. LNCS 36l0, 2005, 3: 496-504.

DOI: 10.1007/11539902_61

Google Scholar

[2] H Chen, C Schuffels, R 0rwig. Internet Categorization andSearch: A Self-0rgenizing Approach[J]. Journal of VisualCommunication and Image Representation, 1996, 7(1): 88-l02.

Google Scholar

[3] Junbin Chen. Research of the Web Information Extraction Strategy and Implementation. Information Development & Economy, 2008, 18(23): 169-170.

Google Scholar

[4] Kunmei Wen, Zhengding Lu, Weiguo Ye. Web-MIND: Web Information Extraction System based on a Specific Topic [J]. Computer Engineering and Science, 2007, 29(6): 71一73.

Google Scholar

[5] M. YuVarani, N. Ch. S. N. lyengar, A. Kannan. Lscrawlef: A Framework for an Enhanced Focused Web Crawler Based on Link Semantics[A]. 2006 IEEE/WIC/ACM International Conference on Web Intelligence, 2006, 794-800.

DOI: 10.1109/wi.2006.112

Google Scholar