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 |
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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 | |
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) |
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Country/Territory | United States |
City | Las Vegas, Nevada |
Period | 8/08/12 → 10/08/12 |