Federated search retrieves information from a variety of sources via a search application built on top of one or more search engines.
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Federated search retrieves information from a variety of sources via a search application built on top of one or more search engines.
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Federated search can be used to integrate disparate information resources within a single large organization or for the entire web.
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Federated search, unlike distributed search, requires centralized coordination of the searchable resources.
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Federated search came about to meet the need of searching multiple disparate content sources with one query.
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Documents that are not indexed by Federated search engines create what is known as the deep Web, or invisible Web.
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One of the main challenges of metasearch, is ensuring that the search query is compatible with the component search engines that are being federated and combined.
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For example, if one Federated search engine allows for quoting of exact strings or n-grams and another does not, the query must be translated to be compatible with each Federated search engine.
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One implementation of federated search that has begun to address this issue is WorldWideScience, hosted by the US Department of Energy's Office of Scientific and Technical Information.
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When federated search is performed against secure data sources, the users' credentials must be passed onto each underlying search engine, so that appropriate security is maintained.
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Relevance varies greatly among "federates" in the Federated search, so knowing how to interleave results to show the most relevant is difficult or impossible.
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The federated search must decide when to consider a federate offline, or wait for a slow response.
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