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» Unsupervised Relation Extraction From Web Documents
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JSW
2008
203views more  JSW 2008»
13 years 7 months ago
Automatic Discovery of Semantic Relations Based on Association Rule
Automatic discovery of semantic relations between resources is a key issue in Web-based intelligent applications such as document understanding and Web services. This paper explore...
Xiangfeng Luo, Kai Yan, Xue Chen
WEBDB
1998
Springer
96views Database» more  WEBDB 1998»
14 years 10 hour ago
Extracting Patterns and Relations from the World Wide Web
The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists maybe scattered across thous...
Sergey Brin
WEBI
2010
Springer
13 years 5 months ago
Relations Expansion: Extracting Relationship Instances from the Web
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
COSIT
2005
Springer
125views GIS» more  COSIT 2005»
14 years 1 months ago
Landmark Extraction: A Web Mining Approach
Landmarks play crucial roles in human geographic knowledge. There has been much work focusing on the extraction of landmarks from geographic information systems (GIS) or 3D city mo...
Taro Tezuka, Katsumi Tanaka
TKDE
2010
284views more  TKDE 2010»
13 years 6 months ago
Unsupervised Semantic Similarity Computation between Terms Using Web Documents
Abstract— In this work, web-based metrics for semantic similarity computation between words or terms are presented and compared with the state-of-the-art. Starting from the funda...
Elias Iosif, Alexandros Potamianos