Information managers must balance the needs of multiple internal constituencies to support information discovery. In R&D-intensive industries such as the life sciences and chemical manufacturing, semantic search can help – delivering value by giving us the ability to turn content into insight.
Semantic enrichment is the enhancement of content with information about its meaning, thereby adding structure to unstructured content. Semantic search builds on enriched content by matching the user’s query intent – not just the keywords they provide – to the relevant content, helping them quickly discover what they need.
The following illustrates how semantic search can have an immediate impact on five common use cases in life sciences and R&D organizations:
Early Phase Research
Researchers can discover interesting potential biomarkers and drug targets they hadn’t known to look for in advance. These initial results can be linked to supporting source content for further review prior to wet lab.
Competitive Intelligence
Competitor patent filings, often intended to hinder discovery, can be explored alongside non-patent literature (NPL) to provide a full picture of competitor strategy, claims, and prior art for patent landscaping or other purposes.
Pharmacovigilance
Literature monitoring for pharmacovigilance can become both more comprehensive and more precise through semantic searches that suggest links between adverse events and pharmacological substances, increasing the efficiency of these vital monitoring workflows.
Read more: Why Text Mining for Pharmacovigliance?
IDMP (Identification of Medicinal Products) Compliance
IDMP initiatives directed by the Food and Drug Administration (FDA) and European Medicines Agency (EMA) aim to standardize how information can be expressed about pharmacological products. Semantically enriched internal and external content can provide a fuller view of medicinal product attributes, supporting IDMP compliance.
Discovery of Chemical Compounds
Researchers can take advantage of well-established chemical ontologies to conduct more efficient semantic search for chemicals, more easily identifying relevant chemical compounds their properties and relationships.
Use Semantic Search to Uncover Scientific Meaning
R&D and information managers routinely use keyword search to find information they need. While keyword search may satisfy the basic needs of researchers there are limitations that can affect productivity and slow the pace of discovery.
Ready to learn more? Check out:
- The Evolution and Importance of Biomedical Ontologies for Scientific Literature.
- Using AI-powered Text Mining to Re-use Research Insights Published in Scientific Literature
- 5 Things Modern Researchers Want in a Search Tool
RightFind® Insight, powered by the SciBite® platform, brings the power of semantic enrichment to the search and reading experience to turn information into knowledge and accelerate new discoveries. Learn more here.Â