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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bhagwan, Varun Alba, Alfredo Grandison, Tyrone |
| Abstract | Prevailing wisdom assumes that there are well-defined, effective and efficient methods for accessing Deep Web content. Unfortunately, there are a host of technical and non-technical factors that may call this assumption into question. In this paper, we present the findings from work on a software system, which was commissioned by the British Broadcasting Corporation (BBC). The system requires stable and periodic extraction of Deep Web content from a number of online data sources. The insight from the project brings an important issue to the forefront and under-scores the need for further research into access technology for the Deep Web. |
| Starting Page | 815 |
| Ending Page | 818 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781605582207 |
| DOI | 10.1145/1449814.1449871 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-10-19 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Crawling Access Deep web Application programming interfaces |
| Content Type | Text |
| Resource Type | Article |
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