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Research explores IP resource profiling and evolution in big data era

By PulseAugur Editorial · [2 sources] ·

Two related research papers explore the challenges and methods for profiling and analyzing intellectual property (IP) resources in the context of big data. The first paper, focusing on IP-oriented scientific and technological resources, discusses property entity extraction and completion, identifying areas for future improvement. The second paper addresses the extraction of valuable science and technology policy resources from vast amounts of mixed-content data, highlighting its social significance and introducing related technologies. AI

IMPACT These papers explore methods for extracting and analyzing valuable information from large datasets, which could inform future AI-driven knowledge discovery systems.

RANK_REASON The cluster contains two academic papers published on arXiv discussing research methodologies. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Research explores IP resource profiling and evolution in big data era

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yuhui Wang, Yingxia Shao, Ang Li ·

    Research on Intellectual Property Resource Profile and Evolution Law

    arXiv:2204.06221v2 Announce Type: replace-cross 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 effec…

  2. arXiv cs.AI TIER_1 English(EN) · Bowen Yu, Yingxia Shao, Ang Li ·

    Profiling and Evolution of Intellectual Property

    arXiv:2204.09333v3 Announce Type: replace-cross 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 …

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