information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic
Description:
The deep web contains a massive number of collections that are mostly invisible to search engines. These collections often contain high-quality, structured information that cannot be crawled using traditional methods. An important problem is selecting which of these collections to search. Automatic collection selection methods try to solve this problem by suggesting the best subset of deep web collections to search based on a query. A few methods for deep Web collection selection ...
Publisher:
Queensland University of Technology
Year of Publication:
2004
Document Type:
thesis
Relations:
http://eprints.qut.edu.au/15992/3/John_King_Thesis.pdf ; King, John Douglas (2004) Deep Web Collection Selection. [QUT Thesis]
information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic
Description:
The deep web contains a massive number of collections that are mostly invisible to search engines. These collections often contain high-quality, structured information that cannot be crawled using traditional methods. An important problem is selecting which of these collections to search. Automatic collection selection methods try to solve this problem by suggesting the best subset of deep web collections to search based on a query. A few methods for deep Web collection selection ...
Publisher:
Queensland University of Technology
Year of Publication:
2004
Document Type:
Thesis
Relations:
http://eprints.qut.edu.au/15992/3/John_King_Thesis.pdf ; King, John Douglas (2004) Deep Web Collection Selection. [QUT Thesis]
Bin He ; Zhen Zhang ; Kevin Chen-chuan Chang Knocking the Door to the Deep Web: Integrating Web
Description:
INTRODUCTION Recently, we witness the rapid growth and thus the prevalence of databases on the Web. Our recent survey [2] in December 2002 estimated between 127,000 to 330,000 deep Web sources. On this deep Web, myriad online databases provide dynamic query-based data access through their query interfaces, instead of static URL links. As the "door" to the deep Web, it is essential to integrate these query interfaces for integrating the deep Web. The overall goal of the MetaQuerier ...
Publisher:
unknown
Contributors:
The Pennsylvania State University CiteSeer Archives
information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic
Description:
The deep web contains a massive number of collections that are mostly invisible to searchengines. These collections often contain high-quality, structured information that cannot becrawled using traditional methods. An important problem is selecting which of these collections to search. Automatic collection selection methods try to solve this problem by suggesting the best subset of deep web collections to search based on a query.A few methods for deep Web collection selection ...
Publisher:
Queensland University of Technology. School of Software Engineering and Data Communications
Year of Publication:
2004
Language:
en
Rights:
http://www.qut.edu.au/disclaimer.html) ; Copyright John Douglas King
information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic
Description:
The deep web contains a massive number of collections that are mostly invisible to searchengines. These collections often contain high-quality, structured information that cannot becrawled using traditional methods. An important problem is selecting which of these collections to search. Automatic collection selection methods try to solve this problem by suggesting the best subset of deep web collections to search based on a query.A few methods for deep Web collection selection ...
Publisher:
Queensland University of Technology. School of Software Engineering and Data Communications
Year of Publication:
2004
Language:
en
Rights:
http://www.qut.edu.au/disclaimer.html) ; Copyright John Douglas King
information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic
Description:
The deep web contains a massive number of collections that are mostly invisible to search engines. These collections often contain high-quality, structured information that cannot be crawled using traditional methods. An important problem is selecting which of these collections to search. Automatic collection selection methods try to solve this problem by suggesting the best subset of deep web collections to search based on a query. A few methods for deep Web collection selection ...
information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic
Description:
The deep web contains a massive number of collections that are mostly invisible to search engines. These collections often contain high-quality, structured information that cannot be crawled using traditional methods. An important problem is selecting which of these collections to search. Automatic collection selection methods try to solve this problem by suggesting the best subset of deep web collections to search based on a query. A few methods for deep Web collection selection ...
information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic
Description:
The deep web contains a massive number of collections that are mostly invisible to search engines. These collections often contain high-quality, structured information that cannot be crawled using traditional methods. An important problem is selecting which of these collections to search. Automatic collection selection methods try to solve this problem by suggesting the best subset of deep web collections to search based on a query. A few methods for deep Web collection selection ...
Deep Web; information fusion; query interface; local as view; Ontology; WordNet
Description:
The key element in a Deep Web information fusion system is the data source modeling problem, which is the determinant technical factor of the whole system. The query interfaces provided by the Deep Web are the clues to disclose the hidden schemas. But the complicated semantic relationships in the query interfaces lead to the lower generality and ability of local as view (LAV) method in the traditional information fusion system. An approach of extracting attributes and semantic ...
Publisher:
ACADEMY PUBLISHER
Contributors:
Natural Science Foundation of China under grant No. 60973040, 60903098; Science and Technology Development Program of Jilin Province of China under Grant No. 20070533; Specialized Research Foundation for the Doctoral Program of Higher Education of China u
Year of Publication:
2010-01-01
Document Type:
Special Issue Paper
Source:
Journal of Software; Vol 5, No 1 (2010): Special Issue: Recent Trends and Advances in Software Technology and Applications; 89-98
Deep Web ; information fusion ; query interface ; local as view ; Ontology ; WordNet
Description:
The key element in a Deep Web information fusion system is the data source modeling problem, which is the determinant technical factor of the whole system. The query interfaces provided by the Deep Web are the clues to disclose the hidden schemas. But the complicated semantic relationships in the query interfaces lead to the lower generality and ability of local as view (LAV) method in the traditional information fusion system. An approach of extracting attributes and semantic ...