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WWW
2005
ACM
16 years 1 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
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 6 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
ATAL
2005
Springer
15 years 6 months ago
SEAGENT: a platform for developing semantic web based multi agent systems
In this paper, a new agent development platform, which includes built-in features for semantic web based multi agent system development, is introduced. All agents and services in ...
Oguz Dikenelli, Riza Cenk Erdur, Özgür G...
FLAIRS
2009
14 years 11 months ago
Improving Biomedical Document Retrieval by Mining Domain Knowledge
When research articles introduce new findings or concepts they typically relate them only to knowledge and domain concepts of immediate relevance. However, many domain concepts re...
Shuguang Wang, Milos Hauskrecht
MM
2006
ACM
151views Multimedia» more  MM 2006»
15 years 7 months ago
News video search with fuzzy event clustering using high-level features
Precise automated video search is gaining in importance as the amount of multimedia information is increasing at exponential rates. One of the drawbacks that make video retrieval ...
Shi-Yong Neo, Yantao Zheng, Tat-Seng Chua, Qi Tian