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Wednesday, March 22, 2023

AI Changes Librarian Science Search

Discovering scientific information involves not only searching for keywords in databases but also considering the relevance, presentation, and accessibility of the content. 

The digital age has brought new technologies and challenges that affect how we discover information, making information literacy essential for managing the increasing volume of publications. 

Various search methods, such as keyword and natural language searching, APIs, and linked data interfaces, are used to retrieve information from multiple sources. 

Browsing, skimming, and scanning are quick ways to find relevant information, and semantic search engines can improve retrieval performance. 

As a librarian, staying informed about new search engines and technologies is essential, considering appropriate resources for finding scientific literature and understanding the different search options and ways to refine results. 

Text mining, visualization, and linked data can help manage and discover information, while citation linking and cited reference searching have become powerful tools for finding scientific information.
 Serendipitous connections and accidental information discovery can lead to critical new themes in research while sharing research data and depositing it in publicly accessible databases can increase discoverability.

New technologies based on AI are transforming the way scientists do research, communicate findings, and discover scientific information. At the same time, social networks enable researchers to connect, collaborate, and stay up-to-date with the latest research in their field.


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