Parity Computing, Inc.

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Parity Computing, Inc.

• Chris Rosin, President crosin_at_paritycomputing.com
• Mark Land, VP m.land_at_paritycomputing.com
• Mohan Paturi, Chairman paturi_at_paritycomputing.com
• Headquarters in San Diego, CA
• Providing intelligent automation for large-scale
  collections of text and metadata
• Clients are primarily scholarly publishers
• Commercial software and services
• Duplicate detection, consensus record creation
• Author merging and disambiguation
• Affiliation parsing and institution
  standardization
• Reference extraction and linking

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Identifying Authors

• Parity Computing takes a data integration view
• Collect related semantic entities together
• For authors author merging and disambiguation
• Manual versus automation
• A very detailed task
• For each occurrence of each author name, examine
  evidence of author identity
• Unless data is very small, automation will be a
  requirement
• Paritys automated solution
• Merge occurrences into profiles
• Use available context in the input data as
  evidence for merging
• Bias only merge with sufficient evidence to be
  confident of identity
• What can automation achieve
• Very high accuracy, based on the available
  evidence in the input data
• But it is not by itself a complete solution
• Some occurrences lack evidence to be confidently
  merged

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Combination of Approaches for Author
Identification

• Automatically-generated profiles with unique ID
• Based on input metadata
• As a baseline for further corrections and
  improvements
• Further opportunities for automation
• Ongoing automation
• After initial profiles are generated and
  corrections start to be applied, continue
  automation for new input data
• Possibility of automating corrections based on
  author CV
• Important aspects of the overall system in which
  this is deployed
• Possibility of additional externally-supplied
  author detail full name, homepage...
• Sensitive to author participation and level of
  effort
• User interface
• Authentication and trust
• Privacy