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WEBI
2009
Springer
15 years 4 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
SEMCO
2008
IEEE
15 years 4 months ago
IKHarvester - Informal eLearning with Semantic Web Harvesting
Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, captu...
Jacek Jankowski, Adam Westerski, Sebastian Ryszard...
VLDB
2000
ACM
124views Database» more  VLDB 2000»
15 years 1 months ago
Toward Learning Based Web Query Processing
In this paper, we describe a novel Web query processing approach with learning capabilities. Under this approach, user queries are in the form of keywords and search engines are e...
Yanlei Diao, Hongjun Lu, Songting Chen, Zengping T...
ACL
2007
14 years 11 months ago
Learning to Extract Relations from the Web using Minimal Supervision
We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particula...
Razvan C. Bunescu, Raymond J. Mooney
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
15 years 1 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland