2008
DOI: 10.1016/j.eswa.2007.01.033
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Visualization of patent analysis for emerging technology

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Cited by 222 publications
(102 citation statements)
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“…Based on this, for the development of innovation, it is necessary and important to study the innovation elements in the process of technology innovation. Based on the collecting and analyzing on the relevant knowledge and information of the ontology, environment and process of innovation [11][12][13], in the way of document retrieval and patent mining and through implementing the matrix and semantic analysis for the innovative knowledge, innovative mechanism and innovative principles in multiple innovation areas, this paper finds that innovation changes with the change of innovative elements, structure, system, environment, boundary conditions, time and space changes parameters. At the same time, the new model is constantly generated and transformed into a new form.…”
Section: The Importance and Necessity Of The Research On The Innovatimentioning
confidence: 99%
“…Based on this, for the development of innovation, it is necessary and important to study the innovation elements in the process of technology innovation. Based on the collecting and analyzing on the relevant knowledge and information of the ontology, environment and process of innovation [11][12][13], in the way of document retrieval and patent mining and through implementing the matrix and semantic analysis for the innovative knowledge, innovative mechanism and innovative principles in multiple innovation areas, this paper finds that innovation changes with the change of innovative elements, structure, system, environment, boundary conditions, time and space changes parameters. At the same time, the new model is constantly generated and transformed into a new form.…”
Section: The Importance and Necessity Of The Research On The Innovatimentioning
confidence: 99%
“…Jensen and Webster (2006) used patent data to study the relationship between firm size and patent intensities in Australia. Bessen andMaskin (2009) andGeradin et al (2011) found that the number of patents is highly correlated with firm size, and larger companies tend to treat patents as a competitive niche (Kim et al 2008;Blind et al 2009;Trippl, Maier 2010).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Jun and Park [11] also defined the representative technology of the clusters as the most frequent IPC. Kim et al [13] suggested the patent map of a semantic network based on the terms' frequency and filing data. However, there are some limitations to defining technology because the definition of technology with unfiltered terms or IPC frequency could contain noise and false or unspecific terms.…”
Section: Strategy Of the Exploring Technology Clustersmentioning
confidence: 99%
“…This was followed by principle component analysis (PCA), which was adopted to reduce the high dimensionality of patent data and to map the patent documents. Kim et al [13], Jun et al [14] and Jun [11] developed the technology clusters using k-means clustering based on Euclidean distance, and Jun et al [15] formed technology clusters using k-medoids clustering. However, there are some limitations-PCA is inefficient for patent mapping in terms of visualization; k-means clustering and k-medoids clustering necessitate the determination of the number of clusters beforehand, and the results of k-means clustering are greatly influenced by the value of the initial cluster center.…”
Section: Strategy Of the Exploring Technology Clustersmentioning
confidence: 99%