Linguistic Identity Matching

  • 4h 26m
  • Bertrand Lisbach, Victoria Meyer
  • Springer
  • 2013

Regulation, risk awareness and technological advances are increasingly drawing identity search functionality into business, security and data management processes, as well as fraud investigations and counter-terrorist measures.

Over the years, a number of techniques have been developed for searching identity data, traditionally focusing on logical algorithms. These techniques often failed to take into account the complexities of language and culture that provide the rich variations seen in names used around the world. A new paradigm has now emerged for understanding the way that identity data should be searched. This new approach focuses on understanding the influences that languages, writing systems and cultural conventions have on proper names.

A must-read for anyone involved in the purchase, design or use of identity matching systems, this book describes how linguistic knowledge can be used to create a more reliable and precise identity search, and looks at the practical benefits that can be achieved by implementing third-generation linguistic search technology.

About the Authors

Dr Bertrand Lisbach is CEO of the award-winning Linguistic Search Solutions AG and is an expert in linguistic identity matching. He studied psychology, languages & IT and provides consultancy, system evaluations & solution implementation.

Victoria Meyer is a forensic accountant and Director of SIBAcademy. A former Forensic Technology Director for one of the Big 4 consultancy firms, she has over two decades of experience in the use of identity matching techniques for fraud investigation and AML purposes.

In this Book

  • Basic Concepts
  • The Application of Identity Matching Techniques
  • Introduction to Proper Names
  • Transcription
  • Derivative Forms of Names
  • Phonetically Similar Names
  • Typos
  • Name Matching Methods of the First Generation
  • Second Generation Name Matching Methods
  • Third Generation Name Matching Methods
  • Benchmark Study
  • Name Matching and Identity Matching
  • Evaluation of Identity Matching Software
  • A Linguistic Search Standard
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