Research on Intellectual Property Resource Profile and Evolution Law

TL;DR

This paper explores the construction and analysis of intellectual property resource profiles, focusing on entity extraction and completion methods to better utilize large-scale IP data in the context of big data challenges.

Contribution

It systematically reviews methods for building IP resource portraits, including entity extraction and completion, and discusses future improvements in algorithms and processes.

Findings

Proposes a framework for IP resource profiling

Analyzes existing entity extraction methods

Identifies future research directions

Abstract

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.