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A Study on the Integration Between Smart Mobility Technology and Information Communication Technology (ICT) Using Patent Analysis

  • Received : 2019.05.09
  • Accepted : 2019.06.10
  • Published : 2019.06.28

Abstract

This study proposes a method for investigating current patents related to information communication technology and smart mobility to provide insights into future technology trends. The method is based on text mining clustering analysis. The method consists of two stages, which are data preparation and clustering analysis, respectively. In the first stage, tokenizing, filtering, stemming, and feature selection are implemented to transform the data into a usable format (structured data) and to extract useful information for the next stage. In the second stage, the structured data is partitioned into groups. The K-medoids algorithm is selected over the K-means algorithm for this analysis owing to its advantages in dealing with noise and outliers. The results of the analysis indicate that most current patents focus mainly on smart connectivity and smart guide systems, which play a major role in the development of smart mobility.

Keywords

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Fig. 1. Methodology

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Fig. 2. The optimal number of clusters based on Silhouette width

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Fig. 3. Percentage of patents related to smart connectivity systems

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Fig. 4. Percentage of patents related to smartguide systems

Table 1. An example of the results obtained by applying text mining techniques

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Table 2. Keywords for each cluster.

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Table 3. The countries contributing to the US market

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