For researchers and information professionals in the life sciences, the ability to seek (and more importantly, find) information is central to success. But knowing how to elevate the current search standards in your organization isn’t always easy.
On 12 March 2019, CCC and our partners at Scibite will host “Supercharging Search: AI in Information Discovery for the Life Sciences,” and you can register to join us. This complimentary webinar will focus on a method to cut through the complexity of scientific language to support you in retrieving better search results with less effort.
Here are a few takeaways you can expect from the webinar:
Artificial Intelligence in Action
Michael Hughes, SciBite’s head of data science, will present a case study of how they use artificial intelligence techniques to train the computer to recognize phrases pertaining to Protein-Protein interactions, and how this can be applied in searches to pull out papers concerning relevant biological processes to support drug development.
“Through normalizing key scientific concepts to single identifiers, we take away the pain of having to come up with long lists of synonyms to get to the hits you want,” Michael says. “Coupling this with AI-driven context extraction means that you can quickly narrow down a broad set of concept hits to a particular topic of interest.”
Putting Power in the Hands of Information Professionals
Additionally, Michael will describe a toolkit to put the power in the hands of the information professional for training such a system, so that it can be applied to any topic of interest.
At CCC, we know information managers and knowledge managers we speak with are being asked to provide search tools that make it easy for researchers and other stakeholders to find relevant content and gain scientific insights more quickly. This webinar will provide a peek into just that.
In the meantime, you can check out the following additional resources for more information about semantic search capabilities: