In the recent thousands of patent auctions of the Chinese Academy of Sciences (Jiangsu special session), artificial intelligence and big data assisted bidding became a highlight of the special auction of patent results in Jiangsu, which is the first time in the country.
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In the recent thousands of patent auctions of the Chinese Academy of Sciences (Jiangsu special session), artificial intelligence and big data assisted bidding became a highlight of the special auction of patent results in Jiangsu, which is the first time in the country.
“Web crawler system requires automatic collection of industry-related data in text format published by Internet sites (mainly news portals), WeChat public account, news app and other information sources. All crawlers should support users to start and stop spontaneously. The topic relevance is judged, and related tools such as a web page library, a URL parser, and a URL filter are provided."
Recently, an Internet company in Nanjing, which wants to purchase patents related to the website crawler system, entered the website of Jiangsu Province's technology property rights trading market and used the patent transaction artificial intelligence system “JINCO Golden Dog†to input the technical requirements for “web crawler†and quickly jumped out. 5 patents to be auctioned by the Chinese Academy of Sciences. The system displays different values ​​according to the matching degree. The larger the value, the higher the matching degree.
At the beginning of this year, the Chinese Academy of Sciences announced that it will hold auctions of patent results in Shandong, Jiangsu, Zhejiang, Shanghai, Fuzhou and Shenzhen. The 932 patents provided by 57 institutions of the Chinese Academy of Sciences will become the target of major enterprises. However, in the face of nearly a thousand high-end patents, how to find the patent with the highest matching degree has become a headache for the R&D supervisors of various enterprises.
To this end, Jiangsu Province's technology property rights trading market, in conjunction with Incopat's technology innovation intelligence platform, uses patent value analysis to analyze and compare 932 patents from patent technical stability, technological advancement, and protection scope, and gives patent value. score.
“In the process of docking, we carried out a combination of manual and machine based on the requirements in the existing technology requirements library, which is to match the patent by keyword.†Jiangsu Province Technology Property Exchange Market Execution General Manager Jia Yanxi said.
The reporter learned that the industries selected by Jiangsu specialties are distributed in new materials, new generation information technology, intelligent manufacturing, advanced biology, and modern agricultural industries. Among them, three dimensions of data become the criteria for locking: price, frequency of demand (heat), and patent value score. The so-called demand frequency (heat), that is, in the demand data of the Jiangsu University and the provincial platform, for the key factors, patent layout and other related factors, through the intelligent matching of big data, the 932 patents provided by the Chinese Academy of Sciences and more than 2000 The demand data is matched according to each demand, and 20 related patents corresponding to each demand are selected according to the matching degree, and then sorted according to the frequency of patent occurrence, that is, the heat of patent demand.
At the same time, Jiangsu Province's technology property rights trading market and Hehui Huizhi Information Technology Group Co., Ltd. jointly launched the patent transaction artificial intelligence system "JINCO Golden Dog" to establish a globally unique "DNA fingerprint" for the 932 auction patents. The machine algorithm is optimized to provide enterprises with the best industrial integration and the most promising patent results.
Jia Yanxi introduced that “JINCO Golden Dog†uses deep learning technology to extract 100 million high-dimensional features from 932 patented technologies to be auctioned, and combines these features to establish a globally unique “DNA fingerprint†for each patented technology. At the same time, through the big data to establish technical demand "DNA fingerprint" for enterprises in Jiangsu Province, similar fingerprints are intelligently matched and recommended. To help companies find patented technologies that match their needs, the intelligent matching system also supports reverse retrieval. The sponsors provide relevant patent matching application areas based on big data and algorithm models for enterprise reference that does not submit requirements to the system.
It is reported that in the previous docking, more than 100 patents from the fields of biology, new materials, and intelligent manufacturing have been initially locked in Jiangsu.
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