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The Advent of Technological Singularity: a Formal Metric
The Technological Singularity; that is, the possibility of achieving a G...
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The Danish Gigaword Project
Danish is a North Germanic/Scandinavian language spoken primarily in Den...
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Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics
Where do firms innovate? Mapping their locations in technological space ...
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ProbMinHash – A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity
The probability Jaccard similarity was recently proposed as a natural ge...
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Dynamic patterns of knowledge flows across technological domains: empirical results and link prediction
The purpose of this study is to investigate the structure and evolution ...
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Patent Portfolio Analysis of Cities: Statistics and Maps of Technological Inventiveness
Cities are engines of the knowledge-based economy, because they are the ...
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Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description
In this work, we attempt to provide a comprehensive granular account of ...
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Text-based Technological Signatures and Similarities: How to create them and what to do with them
This paper describes a new approach to measure technological similarity between patents by leveraging their textual description. Using embedding techniques from natural language processing, we represent their description as a high dimensional numerical vector, thus capturing their technological signature. Deploying an almost near linear-scaling approximate nearest neighbor matching techniques, we are able to compute technological similarity scores for all existing patents. This enables us to represent the whole patent universe as a technological network. We validate both technological signature and similarity in various ways, and demonstrate their usefulness to create patent quality indicators, measure knowledge flows, and map technological change.
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