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» Scaling Textual Inference to the Web
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AAAI
2007
13 years 9 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
KDD
2009
ACM
141views Data Mining» more  KDD 2009»
14 years 8 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
ICDE
2007
IEEE
155views Database» more  ICDE 2007»
14 years 8 months ago
Collaborative Wrapping: A Turbo Framework for Web Data Extraction
To access data sources on the Web, a crucial step is wrapping, which translates query responses, rendered in textual HTML, back into their relational form. Traditionally, this pro...
Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXia...
DSML
2008
107views Formal Methods» more  DSML 2008»
13 years 8 months ago
How Web 2.0 can Leverage Model Engineering in Practice
: Today's online model repositories offer to download and view the textual specifications of e.g. metamodels and models in the browser. For users, in order to efficiently sear...
Manuel Wimmer, Andrea Schauerhuber, Michael Stromm...
JODS
2006
186views Data Mining» more  JODS 2006»
13 years 7 months ago
Emergent Semantics from Folksonomies: A Quantitative Study
Defining and using ontology to annotate web resources with semantic markups is generally perceived as the primary way to implement the vision of the Semantic Web. The ontology prov...
Lei Zhang 0007, Xian Wu, Yong Yu