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» Embedding Knowledge in Web Documents
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WWW
2007
ACM
14 years 8 months ago
Web object retrieval
The primary function of current Web search engines is essentially relevance ranking at the document level. However, myriad structured information about real-world objects is embed...
Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen,...
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
13 years 5 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
HICSS
2006
IEEE
90views Biometrics» more  HICSS 2006»
14 years 1 months ago
Text Understanding Agents and the Semantic Web
— We discuss the challenges involved in adapting the OntoSem natural language processing system to the Web. One set of tasks involves processing Web documents, translating their ...
Akshay Java, Tim Finin, Sergei Nirenburg
SEMWEB
2011
Springer
12 years 10 months ago
Watson, more than a Semantic Web search engine
In this tool report, we present an overview of the Watson system, a Semantic Web search engine providing various functionalities not only to find and locate ontologies and semanti...
Mathieu d'Aquin, Enrico Motta
DOCENG
2004
ACM
14 years 1 months ago
A reduced yet extensible audio-visual description language
Enabling an intelligent access to multimedia data requires a powerful description language. In this paper, we demonstrate why the MPEG-7 standard fails to fulfill this task. We i...
Raphaël Troncy, Jean Carrive