Company Filing History:
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Years Active: 2005-2011
Title: Heather McCallum-Bayliss: Innovator in Adaptive Name Searching Systems
Introduction
Heather McCallum-Bayliss is a notable inventor based in McLean, VA (US). She has made significant contributions to the field of automated name searching systems, holding 2 patents that showcase her innovative approach to multi-cultural name matching.
Latest Patents
Her latest patents include a "System for adaptive multi-cultural searching and matching of personal names." This automated name searching system incorporates an automatic name classifier and a multi-path architecture. Different algorithms are applied based on the cultural identity of the query name. The name classifier operates with a preemptive list, analyzing morphological elements, length, and linguistic rules. A name regularizer produces a character-based computational representation of the name. Additionally, a pronunciation equivalent representation, such as an IPA language representation, and language-specific rules are used to generate name searching keys. This first pass eliminates database entries that are obviously not matches for the query name. The methods can also be implemented as a callable set of library routines, including an intelligent preprocessor and a name evaluator that produces a score comparing a query name and database name based on various user-adjustable parameters. The user-controlled parameters allow for tuning of the search methodologies for specific custom applications.
Career Highlights
Throughout her career, Heather has worked with prominent companies such as Language Analysis Systems, Inc. and IBM. Her experience in these organizations has contributed to her expertise in the field of name searching technologies.
Collaborations
Some of her notable coworkers include John Christian Hermansen and Leonard Arthur Shaefer, Jr. Their collaboration has likely enriched her work and contributed to her innovative projects.
Conclusion
Heather McCallum-Bayliss is a pioneering inventor whose work in adaptive name searching systems has made a significant impact in the field. Her patents reflect her commitment to enhancing the accuracy and efficiency of name matching across diverse cultural contexts.
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