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» Extracting Author Meta-Data from Web Using Visual Features
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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 5 months ago
Extracting Author Meta-Data from Web Using Visual Features
Enriching digital library’s author meta-data can lead to valuable services and applications. This paper addresses the problem of extracting authors’ information from their hom...
Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles
HICSS
2008
IEEE
105views Biometrics» more  HICSS 2008»
14 years 5 months ago
Using Visual Features for Fine-Grained Genre Classification of Web Pages
The field of automatic genre classification has primarily focused on extracting textual features from documents. The goal of this research is to investigate whether visual feature...
Ryan Levering, Michal Cutler, Lei Yu
LREC
2008
160views Education» more  LREC 2008»
14 years 8 days ago
Automatic Extraction of Textual Elements from News Web Pages
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
Hossam Ibrahim, Kareem Darwish, Abdel-Rahim Madany
TMM
2002
140views more  TMM 2002»
13 years 10 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
LPNMR
2001
Springer
14 years 3 months ago
Declarative Information Extraction, Web Crawling, and Recursive Wrapping with Lixto
Lixto is a system and method for the visual and interactive generation of wrappers for Web pages under the supervision of a human developer, for automatically extracting informatio...
Robert Baumgartner, Sergio Flesca, Georg Gottlob