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Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International...

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Video Semantic Information Architecture Based on Web Crawlers Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011 , Page(s): 1 - 4 Speaker : Chnag, kun- hsiang
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Page 1: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

Video Semantic Information Architecture Based on

Web CrawlersGuo Guohong, Wei WeiComputational

Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011 , Page(s): 1 - 4

Speaker : Chnag, kun-hsiang

Page 2: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

Outline Abstract

WEB CRAWLER TECHNOLOGIES

ANALYSIS THE VIDEO SEMANTIC ACQUISITION SYSTEM FRAMEWORK AND PRINCIPLES BASED ON WEB CRAWLER

EXPERIMENTAL RESULTS AND ANALYSIS

CONCLUSION

Page 3: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

Abstract This paper propose the video information

collection architecture based on Web crawler after has analyzed the basic principles, key technologies and problems of the current crawler technology.

The system framework divided to two parts. The background part mainly manage Web crawler; Foreground part mainly view and artificial secondary correct the video semantic information which the crawler has collected.

Page 4: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

WEB CRAWLER TECHNOLOGIES

The basic principles of Web crawler

Web crawler, also known as “Spider”, is a computer program which traverses the information on the Internet based on default condition.

• PageRank “PR”

Page 5: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.
Page 6: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

ANALYSIS THE VIDEO SEMANTICACQUISITION SYSTEM FRAMEWORK AND

PRINCIPLES BASED ON WEB CRAWLER

Page 7: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

Principle of the background

Page 8: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

Principle of the foreground The user choose the most similar

semantic item as input keywords according to the similar semantic which the system listed, through inputting appropriate keyword in front-end.

This operation can improve the accuracy and reasonableness of semantic library which we have constructed.

Page 9: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

EXPERIMENTAL RESULTS AND ANALYSIS

Page 10: Guo Guohong, Wei WeiComputational Internet Technology and Applications (iTAP), 2011 International Conference on Publication Year: 2011, Page(s): 1 - 4.

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