Please enter your details to get this file.


Semantics in Enterprise Search

Semantics in Enterprise Search

To become more information-driven, pharmaceutical companies are turning to enterprise search technologies to make faster, more informed decisions based on the most relevant information available to them. Enterprise search platforms provide the scalable, high performance infrastructure to enable secure access to millions of documents from across the whole organisation and deliver content analytics from a single portal.

However, users can typically only search for exactly what was written by the author of a document. The inconsistent use of synonyms during data entry makes it difficult to identify and collate all relevant data related to a topic of interest.

Through semantic enrichment, SciBite brings scientific understanding to enterprise search, enabling it to ‘understand’ scientific concepts within unstructured text. This opens unparalleled access to drug discovery intelligence and vast amounts of knowledge and ensures users are better informed, without overloading them with information.

To learn more, download the full use case.

Related articles

  1. DOCstore 1.2 – the semantic search tool is released and live

    Search just got a whole lot more powerful. DOCstore enables researchers to harness the power of semantic analysis search to rapidly and comprehensively scan multiple biomedical sources.

    Read
  2. Taking Semantic Search to Full Text

    Guest post from CCC, leader in creating global licensing and full content solutions, on the advantage of full text for semantic search.

    Read

How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us