Source-linked AI summary
Patent Overlay Mapping: Visualizing Technological Distance
Luciano Kay, Nils Newman, Jan Youtie, Alan L. Porter, Ismael Rafols
TL;DR
The paper addresses the need for tools to visualize innovative opportunities and technological landscapes. It presents a patent visualization tool that supports finer differentiation and locates organizations within the overall technological landscape, while showing that nearby IPC categories need not share an IPC branch.
Problem
Tools are needed to visualize innovative opportunities and technological landscapes for intelligence and policy decision-making.
Method
The paper presents a new patent visualization tool designed to reflect a finer distribution of patents and locate organizations within the overall technological landscape.
Results
IPC categories close in the patent map are not necessarily in the same hierarchical IPC branch.
Takeaways & Limitations
The patent visualization methodology has potential to support competitive intelligence and policy decision-making.
Takeaways & Limitations
The patent map requires attention to both its elements and their relations, and the results are preliminary.
Abstract
from arXiv · showhide
This paper presents a new global patent map that represents all technological categories, and a method to locate patent data of individual organizations and technological fields on the global map. This overlay map technique may support competitive intelligence and policy decision-making. The global patent map is based on similarities in citing-to-cited relationships between categories of theInternational Patent Classification (IPC) of European Patent Office (EPO) patents from 2000 to 2006. This patent dataset, extracted from the PATSTAT database, includes 760,000 patent records in 466 IPC-based categories. We compare the global patent maps derived from this categorization to related efforts of other global patent maps. The paper overlays nanotechnology-related patenting activities of two companies and two different nanotechnology subfields on the global patent map. The exercise shows the potential of patent overlay maps to visualize technological areas and potentially support decision-making. Furthermore, this study shows that IPC categories that are similar to one another based on citing-to-cited patterns (and thus are close in the global patent map) are not necessarily in the same hierarchical IPC branch, thus revealing new relationships between technologies that are classified as pertaining to different (and sometimes distant) subject areas in the IPC scheme.
Introduction
The paper introduces a global patent map and an overlay technique for locating organizations’ and technological fields’ patent activity. It frames the approach as a way to visualize technological landscapes and support competitive intelligence and policy decision-making.
- The paper presents a global patent map and an overlay technique for locating organizational and technological patent activity.
- The approach uses technological distance to interpret linkages among technologies and visualize technological landscapes.
- The paper motivates the method by the need to benchmark organizational innovation activities and capture technological change over time.
- The study argues that citing-to-cited technological similarity can differ from the hierarchical structures used to organize patents.
- Patent overlay maps are applied to benchmark two companies and examine two nanotechnology subfields.
Technological distance and its operationalization
The paper operationalizes technological distance through patent citation relationships rather than relying solely on administrative patent categories. Its map places similar fields near one another and supports overlays of organizations, regions, and technological fields.
- The paper emphasizes that citation-based similarity may reveal relationships across different hierarchical IPC branches.
- The method maps technological landscapes using similarity indicated by citing-to-cited relationships among patent categories.
- Similar technological fields are positioned nearby, while dissimilar components are positioned farther apart in the map.
- The map is constructed from a similarity matrix based on how IPC categories cite one another, then projected into two dimensions.
- Users can overlay subsets representing technological fields, institutions, or geographical regions to examine technological thrusts and concentration.
- The approach addresses uneven patent populations across IPC categories, which can limit visualization and underrepresent some technologies.
Implementation
The implementation builds a balanced IPC-based dataset, derives citation similarities, and consolidates categories for visualization. The resulting map uses 466 categories and 35 macro patent categories, while requiring classification and thesaurus updates for future developments.
- The dataset uses EPO patents from 2000–2006 and citing-to-cited relationships among IPC categories.
- Small IPC categories are folded into higher aggregation levels, while very small categories are dropped to address population imbalance.
- The resulting categories have mixed hierarchical composition and are designed to maintain broadly similar patent counts across categories.
- A 1,000-patent cutoff produced 466 IPC categories with a compromise between field accuracy and map readability.
- Cosine similarity and factor analysis consolidate the 466 categories into 35 macro patent categories used for visualization color-coding.
- Future map development requires updating the thesaurus matched to the 466 categories.
Test and preliminary results
The patent map reveals technological relationships that cross IPC hierarchies, while overlays distinguish company and nanotechnology-subfield portfolios. Its structure broadly agrees with earlier maps but also exposes interpretive limits arising from co-occurrence and complementarity.
- Hierarchy versus similarity: The map’s similarity structure differs from IPC hierarchy, showing that categories from distant IPC branches can form the same technological area.Examples include Turbines and engines, which combines turbines, jet propulsion, aircraft equipment, and airplanes and helicopters.
- Hierarchy versus similarity: 35 technological areas versus five in the Leydesdorff map provide more disaggregated differentiation among cosmetics, drug-development, and medical-instrument portfolios.The proposed multi-level classification is described as more accurate than straightforward use of IPC classes at Class or Sub-Class level.
- Global map structure: Technology areas are highly interconnected, although Drugs & Med Chem and Biologics contain especially short distances and some areas form more uniform clusters.Dense areas and darker lines indicate closer technological relationships in the map.
- Patent overlays: Company overlays show distinct nanotechnology foci: Samsung emphasizes semiconductors and optics, whereas DuPont emphasizes drugs, medicine, chemistry, and biologics.DuPont’s portfolio appears more diversified but less active in patenting than Samsung’s in the studied period.
- Patent overlays: Subfield overlays locate nano-biosensors mainly in laboratory equipment, semiconductors, and biologics, while graphene shows lower activity spread across several areas.Graphene activity includes catalysis and separation, chemistry and polymers, semiconductors, and optics.
Conclusion
The paper presents a preliminary patent overlay map that situates organizational portfolios within a global technological landscape and reveals relationships that hierarchical IPC structures can obscure. Its usefulness for decision-making is promising but depends on accurate classification, sufficient patent volume, granularity, and further validation across datasets and maps.
- The approach presents a global patent visualization tool that can support competitive intelligence and policy decision-making.
- The two-step process builds a global map from citing-to-cited relationships and overlays specific organizations’ or fields’ patenting activity.
- The overlay places an organization’s patent portfolio in the context of the overall technological landscape.
- Recombining IPC categories enables finer differentiation of patenting activity, especially in heavily populated categories such as Medical or Veterinary areas.
- The maps require accurate and meaningful IPC assignments, sufficiently large patent portfolios, and greater granularity for many organizational and policy analyses.
- Categories close on the map need not share an IPC hierarchical branch, revealing relationships among technologies classified in different or distant subject areas.
- Citation links can show close relationships between Drugs & Medicine and Biologics technologies across IPC sections A and C, where section-based measures would imply distance.
- Future work includes updating classifications and databases, improving thesaurus coverage, testing map stability, and systematically comparing maps produced by different approaches.