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» On the Automatic Extraction of Data from the Hidden Web
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ER
2007
Springer
87views Database» more  ER 2007»
14 years 3 months ago
Seed-Based Generation of Personalized Bio-ontologies for Information Extraction
Abstract. Biologists usually focus on only a small, individualized, subdomain of the huge domain of biology. With respect to their sub-domain, they often need data collected from v...
Cui Tao, David W. Embley
TMI
2010
155views more  TMI 2010»
13 years 3 months ago
Tubular Surface Segmentation for Extracting Anatomical Structures From Medical Imagery
Abstract--This work provides a model for tubular structures, and devises an algorithm to automatically extract tubular anatomical structures from medical imagery. Our model fits ma...
Vandana Mohan, Ganesh Sundaramoorthi, Allen Tannen...
IIR
2010
13 years 6 months ago
MOWIS: A System for Building Multimedia Ontologies from Web Information Sources
Defining ontologies within the multimedia domain still remains a challenging task, due to the complexity of multimedia data and the related associated knowledge. In this paper, we...
Vincenzo Moscato, Antonio Penta, Fabio Persia, Ant...
WWW
2008
ACM
14 years 9 months ago
Learning transportation mode from raw gps data for geographic applications on the web
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
Yu Zheng, Like Liu, Longhao Wang, Xing Xie
AIED
2009
Springer
14 years 3 months ago
I learn from you, you learn from me: How to make iList learn from students
We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track student...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...