How will you take your R&D program to the next level in 2018?
One way to accelerate your research initiatives and inform critical business decisions is through the semantic enrichment of full-text articles.
Semantic enrichment describes the process of adding a layer of meaning to raw content. This enhancement of content with information about its meaning adds structure to unstructured information, enabling users to move quickly to more intelligence-rich information activities.
Semantic search can have an immediate impact across your organization, and taking it a step further with full-text scientific literature improves these outcomes by enabling access to more facts and relationships, secondary study findings and adverse event data.
Even though using abstracts seems like a reasonable approach, there are limitations to what can be discovered through that process. Researchers need access to the full text of the articles to ensure they don’t miss vital data and undiscovered assertions that can lead to new discoveries.
This sounds well and good, but it doesn’t come without its challenges. Semantic enrichment projects can be resource intensive and can take time to demonstrate business value. Plus, obtaining full-text articles in a machine-readable format across multiple publishers can be a struggle.
Join us on 7 November for a Webinar: Taking Semantic Search to Full Text
CCC’s Product Manager Mike Iarrobino, alongside SciBite founder Lee Harland, will discuss:
- Content challenges facing R&D teams in the life sciences
- Benefits of semantic enrichment of full text content,
- Solutions that enables you to reduce manual and administrative overhead, while adding value to information discovery and innovation initiatives.
Need some background information before you attend the webinar? Check out: