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 proceedingConference proceeding contributionpeer-review

4 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 languageEnglish
Title of host publicationProceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration
EditorsChengcui Zhang, James Joshi, Elisa Bertino, Bhavani Thuraisingham
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages224-230
Number of pages7
ISBN (Electronic)9781467322843
ISBN (Print)9781467322829
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE 13th International Conference on Information Reuse and Integration (IEEE IRI 2012) - Las Vegas, Nevada, United States
Duration: 8 Aug 201210 Aug 2012
Conference number: 13th

Other

Other2012 IEEE 13th International Conference on Information Reuse and Integration (IEEE IRI 2012)
CountryUnited States
CityLas Vegas, Nevada
Period8/08/1210/08/12

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