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» Optimizing Query Processing for the Hidden Web
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ICML
2005
IEEE
14 years 5 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
DEXAW
2007
IEEE
141views Database» more  DEXAW 2007»
13 years 11 months ago
SWARD: Semantic Web Abridged Relational Databases
The semantic web represents meta-data as a relation of triples using the RDF data model. We have developed a virtual repository system that enables to process queries to RDF views...
Johan Petrini, Tore Risch
DIGITALCITIES
2003
Springer
13 years 10 months ago
Map-Based Range Query Processing for Geographic Web Search Systems
In order to utilize geographic web information for digital city applications, we have been developing a geographic web search system, KyotoSEARCH. When users retrieve geographic in...
Ryong Lee, H. Shiina, Taro Tezuka, Yusuke Yokota, ...
ADC
2006
Springer
142views Database» more  ADC 2006»
13 years 10 months ago
An optimization for query answering on ALC database
Query answering over OWLs and RDFs on the Semantic Web is, in general, a deductive process. To this end, OWL, a family of web ontology languages based on description logic, has be...
Pakornpong Pothipruk, Guido Governatori
ICDE
2006
IEEE
146views Database» more  ICDE 2006»
14 years 6 months ago
Query Selection Techniques for Efficient Crawling of Structured Web Sources
The high quality, structured data from Web structured sources is invaluable for many applications. Hidden Web databases are not directly crawlable by Web search engines and are on...
Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma