Elsevier, the information analytics business specialising in science and health, is making it easier for engineers, researchers and students to find answers and insights into increasingly complex engineering problems, and build foundational knowledge, with enhancements to its flagship engineering decision support solution, Knovel.
Knovel's enhanced platform delivers increased productivity and a faster path to relevant answers through new search and analytics capabilities, helping users sift through vast amounts of information. The new user interface delivers an intuitive and personalised user experience, especially for first time Knovel users. It supports users by providing data-rich answers and insights in engineering best-practices and foundational knowledge from multiple sources and content types
Enabling faster results by applying machine learning to generate "auto-suggest," "featured results" and 'refine by suggestions'; personalizing experience – engineers can save notes and search history, review their recent activity and enjoy seamless reading between computer and mobile device through the MyKnovel ToGo mobile app; helping engineers find and apply engineering equations and validated data points to solve operational challenges; and introducing new analytics capabilities to allow engineers to quickly find material properties insights.
As the amount of engineering data in existence continues to rise, it is important for engineers and researchers to have access to digital tools that can filter out irrelevant information, allowing for faster insights. The upgrades to the Knovel platform meet this demand through improved personalization, tailoring the experience to each user's needs, and providing them with greater visibility of engineering data. The new version also offers better discoverability of related information, helping users to build up key foundational knowledge and concepts faster than before.
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