Crawling the Hidden Web
Uložené v:
| Názov: | Crawling the Hidden Web |
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| Autori: | Sriram Raghavan, Hector Garcia-molina |
| Prispievatelia: | The Pennsylvania State University CiteSeerX Archives |
| Zdroj: | http://www.cise.ufl.edu/~cgrant/projects/public/morpheus/files/(32)Crawling the HiddenWeb(2001).pdf. |
| Rok vydania: | 2000 |
| Zbierka: | CiteSeerX |
| Predmety: | Crawling, Hidden Web, Content extraction, HTML Forms |
| Popis: | Current-day crawlers retrieve content only from the publicly indexable Web, i.e., the set of web pages reachable purely by following hypertext links, ignoring search forms and pages that require authorization or prior regis-tration. In particular, they ignore the tremendous amount of high quality content “hidden ” behind search forms, in large searchable electronic databases. In this paper, we provide a framework for addressing the problem of extracting content from this hidden Web. At Stanford, we have built a task-specific hidden Web crawler called the Hidden Web Exposer (HiWE). We describe the architecture of HiWE and present a number of novel tech-niques that went into its design and implementation. We also present results from experiments we conducted to test and validate our techniques. |
| Druh dokumentu: | text |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.517.8573; http://www.cise.ufl.edu/~cgrant/projects/public/morpheus/files/(32)Crawling the HiddenWeb(2001).pdf |
| Dostupnosť: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.517.8573 http://www.cise.ufl.edu/~cgrant/projects/public/morpheus/files/(32)Crawling the HiddenWeb(2001).pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Prístupové číslo: | edsbas.49E1F0F7 |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | Current-day crawlers retrieve content only from the publicly indexable Web, i.e., the set of web pages reachable purely by following hypertext links, ignoring search forms and pages that require authorization or prior regis-tration. In particular, they ignore the tremendous amount of high quality content “hidden ” behind search forms, in large searchable electronic databases. In this paper, we provide a framework for addressing the problem of extracting content from this hidden Web. At Stanford, we have built a task-specific hidden Web crawler called the Hidden Web Exposer (HiWE). We describe the architecture of HiWE and present a number of novel tech-niques that went into its design and implementation. We also present results from experiments we conducted to test and validate our techniques. |
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