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.
@article{arxiv.2204.06221,
title = {Research on Intellectual Property Resource Profile and Evolution Law},
author = {Yuhui Wang and Yingxia Shao and Ang Li},
journal= {arXiv preprint arXiv:2204.06221},
year = {2022}
}