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» Automatic Discovery of Semantic Structures in HTML Documents
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IPM
2007
106views more  IPM 2007»
13 years 7 months ago
Patent document categorization based on semantic structural information
The number of patent documents is currently rising rapidly worldwide, creating the need for an automatic categorization system to replace time-consuming and labor-intensive manual...
Jae-Ho Kim, Key-Sun Choi
CIKM
2009
Springer
14 years 2 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...
DEXA
2009
Springer
173views Database» more  DEXA 2009»
14 years 2 months ago
Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents
SHIRI 1 is an ontology-based system for integration of semistructured documents related to a specific domain. The system’s purpose is to allow users to access to relevant parts ...
Mouhamadou Thiam, Nacéra Bennacer, Nathalie...
WWW
2005
ACM
14 years 8 months ago
Extracting semantic structure of web documents using content and visual information
This work aims to provide a page segmentation algorithm which uses both visual and content information to extract the semantic structure of a web page. The visual information is u...
Rupesh R. Mehta, Pabitra Mitra, Harish Karnick
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 7 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa