Deep Web Collection Selection

King, John Douglas

information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic

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 ...

Queensland University of Technology

2004

thesis

http://eprints.qut.edu.au/15992/3/John_King_Thesis.pdf ; King, John Douglas (2004) Deep Web Collection Selection. [QUT Thesis]

Copyright John Douglas King

Deep Web Collection Selection

King, John Douglas

information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic

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 ...

Queensland University of Technology

2004

Thesis

http://eprints.qut.edu.au/15992/3/John_King_Thesis.pdf ; King, John Douglas (2004) Deep Web Collection Selection. [QUT Thesis]

Copyright John Douglas King

Knocking the Door to the Deep Web: Integrating Web

Bin He ; Zhen Zhang ; Kevin Chen-chuan Chang

Bin He ; Zhen Zhang ; Kevin Chen-chuan Chang Knocking the Door to the Deep Web: Integrating Web

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 ...

unknown

The Pennsylvania State University CiteSeer Archives

2004-03-25

http://eagle.cs.uiuc.edu/pubs/2004/metaquerydemo-sigmod04-hzc-mar04.pdf

en

oai:CiteSeerPSU:140799 ; oai:CiteSeerPSU:616576 ; oai:CiteSeerPSU:114528

unrestricted

Deep Web Collection Selection

King, John Douglas ; j5.king@qut.edu.au

information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic

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 ...

Queensland University of Technology. School of Software Engineering and Data Communications

2004

en

http://www.qut.edu.au/disclaimer.html) ; Copyright John Douglas King

Deep Web Collection Selection

King, John Douglas ; j5.king@qut.edu.au

information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic

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 ...

Queensland University of Technology. School of Software Engineering and Data Communications

2004

en

http://www.qut.edu.au/disclaimer.html) ; Copyright John Douglas King

Deep Web Collection Selection

King, John Douglas

information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic

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 ...

Queensland University of Technology

2004

Copyright John Douglas King

Deep Web Collection Selection

King, John Douglas

information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic

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 ...

Queensland University of Technology

2004

Copyright John Douglas King

Deep Web Collection Selection

King, John Douglas

information retrieval ; deep web ; collection selection ; singular value decomposition ; latent semantic analysis ; sampling ; query focused ; probabilistic

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 ...

Queensland University of Technology

2004

Copyright John Douglas King

Describing the Semantic Relation of the Deep Web Query Interfaces Using Ontology Extended LAV

Hao Liang; Department of Computer Science and Technology, Jilin University, Department of Information, Changchun Taxation College, Jilin Changchun, China ; Wanli Zuo; Department of Computer Science and Technology, Jilin University, Jilin Changchun, China, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Changchun, China ; Fei Ren; China Development Bank, Center of Operation, Beijing, China

Deep Web; information fusion; query interface; local as view; Ontology; WordNet

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 ...

ACADEMY PUBLISHER

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

2010-01-01

Special Issue Paper

Journal of Software; Vol 5, No 1 (2010): Special Issue: Recent Trends and Advances in Software Technology and Applications; 89-98

en

Copyright © ACADEMY PUBLISHER - All Rights Reserved. To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html . 

Describing the Semantic Relation of the Deep Web Query Interfaces Using Ontology Extended LAV

Hao Liang ; Wanli Zuo ; Fei Ren

Deep Web ; information fusion ; query interface ; local as view ; Ontology ; WordNet

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 ...

ACADEMY PUBLISHER

2010

Journal of Software

en