IRAIApr 20, 2022

Profiling and Evolution of Intellectual Property

arXiv:2204.09333v2h-index: 31
Originality Synthesis-oriented
AI Analysis

This work aims to help technology-based enterprises and users by breaking down information barriers, but it appears incremental as it reviews existing technologies without introducing new methods.

The paper addresses the challenge of extracting valuable science and technology policy resources from vast, mixed data to reduce information acquisition costs, but does not report specific results or numbers.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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