Dan Lin

Title: Dan Lin: Inventor of a Policy Similarity Method

Introduction

Dan Lin is an inventor associated with West Lafayette, Indiana, and International Business Machines Corporation. His patent work addresses how computer systems can compare policies made up of structured rules.

Latest Patents

The provided information lists one patent for Dan Lin: Method and System for Determining Policy Similarities. The invention describes comparing two policies by organizing their rules according to action, matching predicates with corresponding attribute names, and calculating similarity scores for attribute values and rule elements. A weighted combination of those scores is then used to determine the similarity between rules. The method is designed to support systematic comparison of policies with multiple rules and identifiable elements. Lin is credited with 1 patent.

Career Highlights

Lin’s listed patent connects his work with policy analysis and computational methods for evaluating similarities between structured sets of rules. The patent is associated with International Business Machines Corporation.

Collaborations

The provided information names Elisa Bertino and Jorge Lobo as Lin’s coworkers. Their inclusion points to a professional context involving colleagues whose work may intersect with research and development in computing and policy systems.

Conclusion

Dan Lin’s listed invention presents a structured approach to comparing policies through rule categorization, attribute matching, and weighted similarity scoring.