This book discusses how a genealogical history of the modern world can be created by linking the Royal Families of Western Europe to a Unifying Ancestry. This new edition extends the original analysis by including a coherence metric to evaluate the best Unifying Ancestry. The author discusses why common ancestors of the Royal Families of Western Europe comprise an optimal Unifying Ancestry and further illustrates this by using historically influential people as examples. Specifically, algorithms for validating the Unifying Ancestry are applied to a 330,000-person Research Genealogy and then used to link historically influential people to the Unifying Ancestry. Genealogical evaluation properties for consistency, correctness, closure, connectivity, completeness and coherence are demonstrated. These properties are applied to the Research Genealogy to generate a unifying ancestry for western Europeans. The unifying ancestry is then used tocreate a genealogical history of the modern world. All the analyses can be reproduced by readers using CoreGen3, a freely available online educational software genealogy workbench that is bundled with the Research Genealogy database.

• Provides algorithms to evaluate properties of genealogies for a variety of factors
• Utilizes the Unifying Ancestry CoreGen3 workbench analysis program enabling readers to reproduce the presented examples

• Presents methods to build a complete genealogy and identifies familial relationships between historical figures

  Autorentext

  Reagan Moore, Ph.D., is an Emeritus Professor in the School of Information and Library Science at the University of North Carolina at Chapel Hill (UNC). Previously, he was Chief Scientist for Data Intensive Cyber Environments at the Renaissance Computing Institute and Director of the Data Intensive Cyber Environments Center at UNC. He coordinated research efforts in the development of data grids, digital libraries, and preservation environments, including the integrated Rule Oriented Data System (iRODS). His research interests include the use of data grid technology to automate execution of management policies and validate trustworthiness of repositories.