Federated search portal querying science databases and repositories across many countries.
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A library support page explaining the invisible web, also called the deep web or hidden web. It states that search engines cover about 16% of the internet and advises against relying on them alone, especially for academic information. It lists content search engines cannot find, such as dynamically changing content, password protected resources and sites requiring registration, and suggests web directories and asking a librarian.
An arXiv paper on discovering skylines over hidden web databases whose search interfaces enforce a top-k output constraint. It examines how search interface controls affect discovery cost and develops algorithms for one-ended range, free range and point predicates, combined for mixed interfaces. Experiments over real-world online and offline databases are reported.
An arXiv paper on digging deeper into hidden web databases limited by the top-k output constraint. It presents the GetNext meta-algorithm, which retrieves the next ranked tuple through a restrictive interface without prior knowledge of the ranking function, and algorithms that generate and execute multiple reformulated queries. Theoretical analysis and experiments over synthetic and real-world databases are reported.
This arXiv paper by Dirk Lewandowski and Philipp Mayr provides a critical review of Bergman's 2001 study on the Deep Web. It introduces the concept of the Academic Invisible Web, defined as databases and collections relevant to academia but not searchable by general-purpose internet search engines, and reviews approaches for indexing it. The authors question Bergman's size estimate and suggest collaboration.
Ahmia is a search engine for services on the Tor network. It indexes hidden services, which require the Tor browser bundle to access, and states that abuse material is not allowed and is removed from the index. The project is developed as free and open source software, with a crawler, an index and a search website.
Official archive of older Tor software, websites, mailing lists, reports and project material.
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A library support page explaining the invisible web, also called the deep web or hidden web. It states that search engines cover about 16% of the internet and advises against relying on them alone, especially for academic information. It lists content search engines cannot find, such as dynamically changing content, password protected resources and sites requiring registration, and suggests web directories and asking a librarian.
An arXiv paper on discovering skylines over hidden web databases whose search interfaces enforce a top-k output constraint. It examines how search interface controls affect discovery cost and develops algorithms for one-ended range, free range and point predicates, combined for mixed interfaces. Experiments over real-world online and offline databases are reported.
An arXiv paper on digging deeper into hidden web databases limited by the top-k output constraint. It presents the GetNext meta-algorithm, which retrieves the next ranked tuple through a restrictive interface without prior knowledge of the ranking function, and algorithms that generate and execute multiple reformulated queries. Theoretical analysis and experiments over synthetic and real-world databases are reported.
This arXiv paper by Dirk Lewandowski and Philipp Mayr provides a critical review of Bergman's 2001 study on the Deep Web. It introduces the concept of the Academic Invisible Web, defined as databases and collections relevant to academia but not searchable by general-purpose internet search engines, and reviews approaches for indexing it. The authors question Bergman's size estimate and suggest collaboration.
Ahmia is a search engine for services on the Tor network. It indexes hidden services, which require the Tor browser bundle to access, and states that abuse material is not allowed and is removed from the index. The project is developed as free and open source software, with a crawler, an index and a search website.
Official archive of older Tor software, websites, mailing lists, reports and project material.
