Discovery and cataloging of deep web sources

Chelsea Hicks; Matthew Scheffer; Anne H H Ngu; Quan Z. Sheng

doi:10.1109/IRI.2012.6303014

Discovery and cataloging of deep web sources

Chelsea Hicks^*, Matthew Scheffer, Anne H H Ngu, Quan Z. Sheng

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

5 Citations (Scopus)

Abstract

With more and more information goes online, extracting and managing the information from the Internet is becoming increasingly important. While the surface Web's information is relatively easy to obtain thanks to search engines such as Google and Bing, collecting the information from the deep Web is still a challenging task and these search engines do not index information located inside the deep Web. Compared to the surface Web, the deep Web contains vast more information. In particular, building a generalized search engine that can index deep Web across all domains remains a difficult research problem. In this paper, we highlight these challenges and demonstrate via prototype implementation of a generalized deep Web discovery framework that can achieve high precision.

Original language	English
Title of host publication	Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration
Editors	Chengcui Zhang, James Joshi, Elisa Bertino, Bhavani Thuraisingham
Place of Publication	Piscataway, N.J.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	224-230
Number of pages	7
ISBN (Electronic)	9781467322843
ISBN (Print)	9781467322829
DOIs	https://doi.org/10.1109/IRI.2012.6303014
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE 13th International Conference on Information Reuse and Integration (IEEE IRI 2012) - Las Vegas, Nevada, United States Duration: 8 Aug 2012 → 10 Aug 2012 Conference number: 13th

Other

Other	2012 IEEE 13th International Conference on Information Reuse and Integration (IEEE IRI 2012)
Country/Territory	United States
City	Las Vegas, Nevada
Period	8/08/12 → 10/08/12

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10.1109/IRI.2012.6303014

Cite this

Hicks, C., Scheffer, M., Ngu, A. H. H., & Sheng, Q. Z. (2012). Discovery and cataloging of deep web sources. In C. Zhang, J. Joshi, E. Bertino, & B. Thuraisingham (Eds.), Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration (pp. 224-230). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IRI.2012.6303014

Hicks, Chelsea ; Scheffer, Matthew ; Ngu, Anne H H et al. / Discovery and cataloging of deep web sources. Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration. editor / Chengcui Zhang ; James Joshi ; Elisa Bertino ; Bhavani Thuraisingham. Piscataway, N.J. : Institute of Electrical and Electronics Engineers (IEEE), 2012. pp. 224-230

@inproceedings{3b7cb19d1a5f4552bbd3406c10f17e41,

title = "Discovery and cataloging of deep web sources",

abstract = "With more and more information goes online, extracting and managing the information from the Internet is becoming increasingly important. While the surface Web's information is relatively easy to obtain thanks to search engines such as Google and Bing, collecting the information from the deep Web is still a challenging task and these search engines do not index information located inside the deep Web. Compared to the surface Web, the deep Web contains vast more information. In particular, building a generalized search engine that can index deep Web across all domains remains a difficult research problem. In this paper, we highlight these challenges and demonstrate via prototype implementation of a generalized deep Web discovery framework that can achieve high precision.",

author = "Chelsea Hicks and Matthew Scheffer and Ngu, {Anne H H} and Sheng, {Quan Z.}",

year = "2012",

doi = "10.1109/IRI.2012.6303014",

language = "English",

isbn = "9781467322829",

pages = "224--230",

editor = "Chengcui Zhang and James Joshi and Elisa Bertino and Bhavani Thuraisingham",

booktitle = "Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2012 IEEE 13th International Conference on Information Reuse and Integration (IEEE IRI 2012) ; Conference date: 08-08-2012 Through 10-08-2012",

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Hicks, C, Scheffer, M, Ngu, AHH & Sheng, QZ 2012, Discovery and cataloging of deep web sources. in C Zhang, J Joshi, E Bertino & B Thuraisingham (eds), Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 224-230, 2012 IEEE 13th International Conference on Information Reuse and Integration (IEEE IRI 2012), Las Vegas, Nevada, United States, 8/08/12. https://doi.org/10.1109/IRI.2012.6303014

Discovery and cataloging of deep web sources. / Hicks, Chelsea; Scheffer, Matthew; Ngu, Anne H H et al.
Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration. ed. / Chengcui Zhang; James Joshi; Elisa Bertino; Bhavani Thuraisingham. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 224-230.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

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AU - Scheffer, Matthew

AU - Ngu, Anne H H

AU - Sheng, Quan Z.

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N2 - With more and more information goes online, extracting and managing the information from the Internet is becoming increasingly important. While the surface Web's information is relatively easy to obtain thanks to search engines such as Google and Bing, collecting the information from the deep Web is still a challenging task and these search engines do not index information located inside the deep Web. Compared to the surface Web, the deep Web contains vast more information. In particular, building a generalized search engine that can index deep Web across all domains remains a difficult research problem. In this paper, we highlight these challenges and demonstrate via prototype implementation of a generalized deep Web discovery framework that can achieve high precision.

AB - With more and more information goes online, extracting and managing the information from the Internet is becoming increasingly important. While the surface Web's information is relatively easy to obtain thanks to search engines such as Google and Bing, collecting the information from the deep Web is still a challenging task and these search engines do not index information located inside the deep Web. Compared to the surface Web, the deep Web contains vast more information. In particular, building a generalized search engine that can index deep Web across all domains remains a difficult research problem. In this paper, we highlight these challenges and demonstrate via prototype implementation of a generalized deep Web discovery framework that can achieve high precision.

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U2 - 10.1109/IRI.2012.6303014

DO - 10.1109/IRI.2012.6303014

M3 - Conference proceeding contribution

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SN - 9781467322829

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BT - Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration

A2 - Zhang, Chengcui

A2 - Joshi, James

A2 - Bertino, Elisa

A2 - Thuraisingham, Bhavani

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, N.J.

T2 - 2012 IEEE 13th International Conference on Information Reuse and Integration (IEEE IRI 2012)

Y2 - 8 August 2012 through 10 August 2012

ER -

Discovery and cataloging of deep web sources

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