원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.3
2015.03
pp.243-254
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
By analyzing a large number of web pages, we proposed a page segment algorithm which is based on DOM tree structural features and visual features. The algorithm segments the pages to the small particles. It produces basic processing units for recognition algorithms. After segmenting the pages, we extracted the structural and visual features of the pages, and proposed a method to identify the body of the web article. The method uses clustering algorithm and heuristic rules to produce an automatic wrapper. A testing experiment demonstrated the efficacy of the algorithm.
목차
Abstract
1. Introduction
2. Related Knowledge of Web Article Page Block and Information Extraction
2.1. Web article Model
2.2. Visual Feature
2.3. The Structure Characteristics of DOM Tree
2.4. Page Block Algorithm from Bottom to Top
3. The Body Identification Method of the Web Article
3.1. Review Stage
3.2. Design for Identifying of Web Text
3.3. Text Extraction of Web Article
4. Experimental Results and Analysis
5. Conclusion
Acknowledgments
References
1. Introduction
2. Related Knowledge of Web Article Page Block and Information Extraction
2.1. Web article Model
2.2. Visual Feature
2.3. The Structure Characteristics of DOM Tree
2.4. Page Block Algorithm from Bottom to Top
3. The Body Identification Method of the Web Article
3.1. Review Stage
3.2. Design for Identifying of Web Text
3.3. Text Extraction of Web Article
4. Experimental Results and Analysis
5. Conclusion
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보