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About PNM(DandyLion Map)
We(humans) only present the range, and AI extracts/analyzes the keywords.
We look at how patents within the scope are related through AI extracted/analyzed keywords.
Through the placement relationship of each patent and the keywords connecting them, the relationship between patents in the corresponding range is found.
We will call this the **‘Patent Networking Map’.** The **‘Patent Networking Map’** is created as follows.Multiple keywords are extracted from each patent, and the relevance of the extracted multiple keywords to individual patents is calculated. Create highly relevant keywords and patents by simultaneously plotting them on a 3D plane. Patents that share many highly related keywords are placed relatively close together, patents that share few keywords are placed relatively far away, and patents that share no keywords are placed far away.
We look at how patents within the scope are related through AI extracted/analyzed keywords.
Through the placement relationship of each patent and the keywords connecting them, the relationship between patents in the corresponding range is found.
We will call this the **‘Patent Networking Map’.** The **‘Patent Networking Map’** is created as follows.Multiple keywords are extracted from each patent, and the relevance of the extracted multiple keywords to individual patents is calculated. Create highly relevant keywords and patents by simultaneously plotting them on a 3D plane. Patents that share many highly related keywords are placed relatively close together, patents that share few keywords are placed relatively far away, and patents that share no keywords are placed far away.
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