Research on Intellectual Property Resource Profile and Evolution Law
This work provides a systematic review for researchers and practitioners dealing with large-scale, low-value-density intellectual property data, but it is incremental as it primarily organizes existing methods.
This paper addresses the challenge of effectively using intellectual property resources in the big data era by reviewing methods for constructing intellectual property resource profiles and analyzing their evolution, focusing on entity extraction and completion techniques.
In the era of big data, intellectual property-oriented scientific and technological resources show the trend of large data scale, high information density and low value density, which brings severe challenges to the effective use of intellectual property resources, and the demand for mining hidden information in intellectual property is increasing. This makes intellectual property-oriented science and technology resource portraits and analysis of evolution become the current research hotspot. This paper sorts out the construction method of intellectual property resource intellectual portrait and its pre-work property entity extraction and entity completion from the aspects of algorithm classification and general process, and directions for improvement of future methods.