Automatic Web News Extraction Based on DS Theory Considering Content Topics-Reference-Cited by-同舟云学术

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Automatic Web News Extraction Based on DS Theory Considering Content Topics

Published:2018 Issue: Volume: Page:194-207
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Zhang Kaihang,Zhang Chuang,Chen Xiaojun,Tan Jianlong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93698-7_15

Reference18 articles.

1. Wu, G., Li, L., Hu, X., Wu, X.: Web news extraction via path ratios. In: Proceedings of the 22nd ACM international conference on Information & Knowledge Management. pp. 2059–2068. ACM (2013)

2. Weninger, T., Hsu, W.H., Han, J.: Cetr: content extraction via tag ratios. In: Proceedings of the 19th international conference on World wide web. pp. 971–980. ACM (2010)

3. Sun, F., Song, D., Liao, L.: Dom based content extraction via text density. In: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval. pp. 245–254. ACM (2011)

4. Reis, D.d.C., Golgher, P.B., Silva, A.S., Laender, A.: Automatic web news extraction using tree edit distance. In: Proceedings of the 13th international conference on World Wide Web. pp. 502–511. ACM (2004)

5. Fang, Y., Xie, X., Zhang, X., Cheng, R., Zhang, Z.: Stem: a suffix tree-based method for web data records extraction. Knowledge and Information Systems pp. 1–27 (2017)

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