Profiling and Evolution of Intellectual Property

TL;DR

This paper discusses the challenges in extracting and retrieving science and technology policy resources from large, mixed-content data to reduce information acquisition costs and facilitate access for enterprises and users.

Contribution

It introduces related technologies and developments for extracting valuable policy resources from complex data sources, addressing key difficulties in the field.

Findings

Identifies key challenges in policy data extraction

Proposes methods to improve retrieval accuracy and speed

Highlights social utility of efficient information access

Abstract

In recent years, with the rapid growth of Internet data, the number and types of scientific and technological resources are also rapidly expanding. However, the increase in the number and category of information data will also increase the cost of information acquisition. For technology-based enterprises or users, in addition to general papers, patents, etc., policies related to technology or the development of their industries should also belong to a type of scientific and technological resources. The cost and difficulty of acquiring users. Extracting valuable science and technology policy resources from a huge amount of data with mixed contents and providing accurate and fast retrieval will help to break down information barriers and reduce the cost of information acquisition, which has profound social significance and social utility. This article focuses on the difficulties and problems in the field of science and technology policy, and introduces related technologies and developments.