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Data collection method and clustering scheme

Data collection method and clustering scheme

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WIPO Technology Trends 2019 Artificial Intelligence

SUMMARY

This is a technical paper on the data collection method and clustering scheme in the AI field. All the figures in this paper, the research mentions, are detailed in the number of patent families. This means that different applications linked to similar inventions are counted just once.

The starts by offering an insight into the AI patent collection strategy. It explains that the strategy introduced in this paper was created to achieve an adequate exchange between the will to collect all the AI-related technologies in all their possible ways and the need to keep false positives under control. 

The paper also describes how scientific publication data is collected and studies. The analysis of the AI scientific publication collection provides statistical figures that reflect the global academic activity in AI. The results must be confronted with the findings of the patent collection analysis making queries as similar as possible. There is also another section in this study on how the litigation and opposition data was extracted - from two different sources.

The paper takes a look as well at the taxonomy created to support the interpretation of the key AI notions, and necessary to categorize all documents. This taxonomy must include relevant aspects to the various technical features of AI and the involved end-user applications as well as the business activities. 

OUTLINE

Strategy for Patent collection and Scientific collection

Data: Merger, acquisition, litigation

Clustering schemes and search fields

DETAILS

Overview

Researchfinder Rating
4 out of 5 stars
Title
Data collection method and clustering scheme
Sub-Title
WIPO Technology Trends 2019 Artificial Intelligence
Region
Global
Published
Jan. 1, 2018
Publisher
WIPO
Author(s)
Sophie Gojon, Adrien Migeon, Philippe Petit, Patrice Lopez, Irene Kitsara
Price
FREE
Language
ENGLISH

Content

Number of Pages
25
Number of Tables
0
Number of Exhibits
0
Topics
ai
Tags
AI, AI patents, artificial intelligence, deep learning, machine learning, WIPO
Author(s)
Sophie Gojon, Adrien Migeon, Philippe Petit, Patrice Lopez, Irene Kitsara
Methodology
Not available.
EVALUATION

This is a highly technical paper on the data collection method and clustering scheme in the AI field.

Positives:

  • Very targeted topic

Negatives:

  • Highly technical - unclear language at times

 

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