A top pharmaceutical company, invested in advancing drug research, wanted its proprietary ontology maintained and enriched by regularly adding and updating definitions and synonyms and cross-references built across similar ontologies.
Incomplete Data: A significant portion of the existing ontology lacked synonyms and definitions.
Cross-Ref data validation: Ensuring and verifying the genuineness of cross-referenced data
Quick Turnaround Time: The Customer required the initial updated version of the database to be updated and delivered within a challenging three-month timeframe.
Content Enrichment: The Master Database underwent a thorough update, incorporating new terms, adding precise synonyms and definitions, and a detailed cross-reference mapping.
Automated Validation: Introduced machine learning techniques to enhance and speed up the validation of cross-references.
Continuous Update: The database is updated with regular reviews and integration of emerging concepts and corrections and a major release is published every quarter.
Improvement in research-to-market speed for customer
Trusted reference data sources used
Accuracy achieved in the validation of auto-generated cross-references
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