What are some examples of a federated search?

Federated search is a search process that allows users to simultaneously search multiple databases or search engines from a single interface. Here are some examples of federated search:

• Library catalogs: Many libraries use federated search to allow users to search multiple library catalogs from a single interface.
• Academic databases: Federated search can be used to search multiple academic databases, such as JSTOR, Scopus, and Web of Science, from a single interface.
• Government documents: Some government agencies use federated search to allow users to search across multiple agency websites for relevant documents.
• E-commerce sites: Federated search can be used by online retailers to search across multiple product databases to display relevant products.
• Social media: Social media platforms use federated search to search across multiple accounts and platforms to display relevant content.
• Job search sites: Job search sites use federated search to search across multiple job databases to display relevant job postings.
• News sites: News aggregators use federated search to search across multiple news sources to display relevant news stories.

Overall, federated search can be used in a wide range of applications where users need to search multiple databases or sources of information from a single interface. It may be hard to obtain specific search results from a federated search but luckily Unleash's AI-powered search platform can take the pain out of federated searches.

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A federated search is a system specifically designed to provide users with a unified interface for conducting search processes across different computer networks, that are otherwise isolated from other. In other terms, it is simply a module of the network that brings multiple results for a single internet query. Some examples of a federated search are search enterprises conducted in Google, Bing, Yahoo, Baidu, AOL, Excite, DuckDuckGo etc. When a particular keyword is inputted into any of the search engines, it does an automatic compilation of search results gathered from various websites and pages of the Internet.

Federated search helps the users to get aggregated results and compare them for the best choice. It collects data from multiple sources and shows them in a single interface. Mostly the sources are web pages on search engines.

The simplest example of a federated search is a website named Kayak. This site extracts flight data from multiple websites and presents it to make it comparable for the users.

More federated search examples like Yahoo, Baidu, Google, and DuckDuckGo use federated search indexes and multi-database management systems for exact and accurate results.

A federated search is a type of search that allows you to find information across multiple databases. While there are many different approaches to federated search, they all fall under two fundamental processes: indexing and searching. The first involves creating a comprehensive list of your system's data points. The other is the process that helps users find what they're looking for. Based on this explanation, Yahoo, Bing, Kayak, and Google are all excellent examples of federated searches.