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» Lessons Learned from Applying AI to the Web
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WSDM
2012
ACM
252views Data Mining» more  WSDM 2012»
12 years 3 months ago
WebSets: extracting sets of entities from the web using unsupervised information extraction
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
ISCC
2006
IEEE
14 years 1 months ago
Using Web Services for Bridging End-User Applications and Wireless Sensor Networks
Applications are the ultimate consumers of the information collected by sensors. There exist several frameworks for the interactions between end-user applications and sensors. They...
Truong Ta, Nuru Yakub Othman, Roch H. Glitho, Ferh...
CCR
2008
66views more  CCR 2008»
13 years 8 months ago
New directions in mobile communications, or how to learn to stop hating the cellular telephone industry
In this article, we discuss the lessons in innovation from the last twenty years of the Internet that might be applied in the cellular telephone industry. Categories and Subject D...
Jon Crowcroft
SIGSOFT
2005
ACM
14 years 8 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
14 years 8 hour 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