A go-to-solution for name-entity recognition and disambiguation

Molecular Connections’ in-house platform MC IDENTIFY provides tailored, methodical, and a multicomponent solution for named entity recognition, disambiguation, and standardization. This proprietary author and affiliation disambiguation system facilitates identification of co-author profiles, referee searches, etc.


An integrated, cross-talking, multi-component solution including;
  • A parser to ingest various forms of inputs (structured and unstructured)
  • A module to Identify different categories of named entities, ontologies/CVs of named entities (authors, topics, institutions, places, etc.)
  • An AI-based clustering algorithm for automated clustering of similar named entities
  • ML rule-based engine to influence the said clustering via plug and play user inputs
  • Optional component allowing for manual intervention to disambiguate semi-automated data points
  • APIs to access the linked data store consisting of the disambiguated and standardized entities from all/any of the above workflow components

 Key product highlights

  • Semi-automated system
  • Systematic and inclusive disambiguation approach
  • Threshold criteria for the initial machine aided clustering based on user inputs
  • Outlets to allow normalizations and standardizations with external standards
  • Visual interface to manage and review the linked store

Interested in MC IDENTIFY ?

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