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Augmenting Software Tools with Intelligence from Patent & Scholarly Data: Insider Recipes from the Trenches
A Guide to Getting Value from Patent and Research Data
Innovation moves humanity forward. New technologies and scientific discoveries come from innovation. But innovation needs data - specifically the huge amount of knowledge hidden in patents and research papers. These documents are like treasure vaults of insights waiting to be uncovered. As developers, how can we build tools to get value out of these unique data sets?
This book is a handy guide to demystifying patents and research papers and using their data in effective ways. It offers real-world tips and techniques to manage, process, and analyze scientific documents.
You'll learn all about patents - their life stages, key data points, and practical tips for handling patent data in code. Discover the best ways to store, search, update and access huge amounts of research papers. Case studies show how to tackle real data challenges, from old systems to missing APIs.
The book covers best practices for storage, programming languages, search engines, visualization, PDF tools, OCR, and other key components for building robust software tools. You'll explore advanced techniques like natural language processing, machine learning, data updates, and API integration. Patent data analysis enables competitive intelligence, portfolio valuation, technology forecasting, and other critical business insights. An entire chapter focuses on creating intuitive user experiences for innovation software.
Bonus examples highlight unique innovations that improved real patent analysis software. From rapid testing to insights tailored for users, these compelling stories demonstrate creative thinking to solve product problems.
This book will equip you with strategies and knowledge to build the next generation of software tools powered by patent and research data. Whether you are a developer, researcher or patent expert, it will empower you with forward-thinking techniques to gain a competitive edge and drive innovation.
Innovation moves humanity forward. New technologies and scientific discoveries come from innovation. But innovation needs data - specifically the huge amount of knowledge hidden in patents and research papers. These documents are like treasure vaults of insights waiting to be uncovered. As developers, how can we build tools to get value out of these unique data sets?
This book is a handy guide to demystifying patents and research papers and using their data in effective ways. It offers real-world tips and techniques to manage, process, and analyze scientific documents.
You'll learn all about patents - their life stages, key data points, and practical tips for handling patent data in code. Discover the best ways to store, search, update and access huge amounts of research papers. Case studies show how to tackle real data challenges, from old systems to missing APIs.
The book covers best practices for storage, programming languages, search engines, visualization, PDF tools, OCR, and other key components for building robust software tools. You'll explore advanced techniques like natural language processing, machine learning, data updates, and API integration. Patent data analysis enables competitive intelligence, portfolio valuation, technology forecasting, and other critical business insights. An entire chapter focuses on creating intuitive user experiences for innovation software.
Bonus examples highlight unique innovations that improved real patent analysis software. From rapid testing to insights tailored for users, these compelling stories demonstrate creative thinking to solve product problems.
This book will equip you with strategies and knowledge to build the next generation of software tools powered by patent and research data. Whether you are a developer, researcher or patent expert, it will empower you with forward-thinking techniques to gain a competitive edge and drive innovation.
Kindle Edition
Published November 13, 2023
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