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WWW
2005
ACM
14 years 5 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify exam...
Andrew Hogue, David R. Karger
WWW
2004
ACM
14 years 5 months ago
Query and content suggestion based on latent interest and topic class
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
Noriaki Kawaeme, Hideaki Suzuki, Osamu Mizuno
CIKM
2009
Springer
13 years 11 months ago
Annotating wikipedia articles with semantic tags for structured retrieval
Structured retrieval aims at exploiting the structural information of documents when searching for documents. Structured retrieval makes use of both content and structure of docum...
Saravadee Sae Tan, Tang Enya Kong, Gian Chand Sodh...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 5 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho
WEBI
2007
Springer
13 years 11 months ago
Towards a Media Interpretation Framework for the Semantic Web
We present a framework for media interpretation that leverages low-level information on to a higher level of abstraction in order to support semantics-based information retrieval ...
Irma Sofia Espinosa Peraldi, Atila Kaya, Sylvia Me...