Creating a Personalized Research Hub: Navigating the Sea of Information with the Help of AI-based Search Engines
Creating my own personal Wiki of knowledge is a dream project that I've been working on for some time. There's something undeniably exciting about connecting pieces of information, making new connections, and generating new ideas. And while there may not be one perfect way to build such a Wiki, there's always room for improvement.
As researchers, staying up-to-date on our field is essential. But with the vast amount of information available online, it can be overwhelming to sift through and find the most relevant articles. Even once we've found the right articles, managing and recalling them can be a challenge.
Thankfully, there are a number of online resources that can help us stay organized. In my experience, Google Scholar is the most frequently used academic search engine, thanks to its vast database. But it's not the only option - PubMed Central, Web of Science, and Semantic Scholar are also popular choices.
Recently, I've also discovered a number of AI-based academic research engines like Open Knowledge Maps, Dimensions, Researchrabbit, and Inciteful. These search engines are particularly useful when your search keywords match a wide field of research areas and you're only interested in a few specific areas. Their AI algorithms cleverly categorize articles into relevant subclasses, which can save a lot of time in finding relevant articles. While Google Scholar has a 'relevant articles' feature (which I believe also uses AI algorithms), it doesn't have the same level of categorization as Open Knowledge Maps and Dimensions.
In conclusion, using any of these search engines is better than using Google Search directly, especially when it comes to reviewing literature and building a personal Wiki. AI-based search engines can save time and effort by categorizing articles into relevant subclasses based on the search keywords. They are very efficient in finding relevant articles, as they use advanced algorithms to analyze and understand the content of the articles, making the search process more accurate and reliable.
AI-based academic search engines like 'Dimentions' have tools to categorize the searched articles into their field of research giving an additional advantage of finding the relevant articles over other search engines like google scholar.
1 June 2021
AI-based search engines like ResearchRabbit have revolutionized the way we uncover connections in scientific literature. No longer do we have to comb through endless pages, these powerful tools do the heavy lifting for us, illuminating the hidden connections and making the research process a breeze. Here, I have connected the dots between studies related to the use of ectomycorrhiza as a bioprotector, thanks to the assistance of an AI-based search engine.
1 June 2021