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» Learning to Extract Information for the Semantic Web
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WWW
2001
ACM
14 years 9 months ago
Crawling the Hidden Web
Current-day crawlers retrieve content only from the publicly indexable Web, i.e., the set of Web pages reachable purely by following hypertext links, ignoring search forms and pag...
Sriram Raghavan, Hector Garcia-Molina
AI
2000
Springer
13 years 8 months ago
Learning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
WWW
2005
ACM
14 years 9 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...
FLAIRS
2003
13 years 10 months ago
Information Filtering Using the Dynamics of the User Profile
This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions ...
Costin Barbu, Marin Simina
CIKM
2007
Springer
14 years 2 months ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera