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Taking semantic search to full text
[SciBite + CCC webinar]

Search + business intelligence

When engaging in semantic search, many researchers opt for the use of article abstracts over full-text articles as they are easily accessible via biomedical databases like MEDLINE and are in XML, a format easily read by computers. While article abstracts yield some information, there are limitations to what can be discovered through that process.

During this webinar hear from Lee Harland, SciBite’s CSO and Founder and Mike Iarrobino, CCC’s Product Manager as they look at the content challenges facing R&D teams in the life sciences, the benefits of semantic enrichment of full text content, and how the integrated CCC and SciBite solution can help improve the results of semantic enrichment initiatives, reduce cost and simplify copyright compliance.

Related articles

  1. How semantic enrichment technology is changing the way we search

    In our latest blog we discuss the challenges life sciences companies, like LifeArc, face in keeping up-to-date with scientific literature, and how semantic enrichment technology can automate this process to reduce the time spent mining data by up to 80%.

  2. CCC launches RightFind Insight, transforming scientific research

    Just released by the Copyright Clearance Center, a semantic search solution applied to full-text articles


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