Overview
Linguistic methods reform identity matching
How to balance the risk of missing an identity match with the costs of overmatching
Linguistic knowledge as the key to improving identity search systems
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (14 chapters)
-
Introduction to Linguistic Identity Matching
-
Name Matching Methods
-
Into the New Paradigm
Keywords
About this book
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.
Authors and Affiliations
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.
Bibliographic Information
Book Title: Linguistic Identity Matching
Authors: Bertrand Lisbach, Victoria Meyer
DOI: https://doi.org/10.1007/978-3-8348-2095-2
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Fachmedien Wiesbaden 2013
Softcover ISBN: 978-3-8348-1370-1Published: 17 June 2013
eBook ISBN: 978-3-8348-2095-2Published: 05 June 2013
Edition Number: 1
Number of Pages: XVII, 244
Number of Illustrations: 4 b/w illustrations, 4 illustrations in colour
Topics: Natural Language Processing (NLP), Information Systems Applications (incl. Internet)