arXiv:2204.04883v2 Announce Type: replace-cross Abstract: With the advent of the cloud computing era, the cost of creating, capturing, and managing information has gradually decreased. The amount of data on the Internet is showing explosive growth, and more scientific and technological resources are being uploaded to the network. Different from news and social media data, scientific and technological resources are mainly composed of academic-style resources or entities, such as papers, patents, authors, and research institutions. There is a rich relationship network between these resources, fr
The explosion of digital scientific data and the decreasing cost of information management in the cloud computing era necessitate better methods for organizing and accessing this knowledge.
Improved classification and knowledge modeling of scientific resources can significantly enhance research and development efficiency, impacting innovation cycles and competitive advantage.
The ability to accurately map and manage scientific resources like papers, patents, and institutions evolves, leading to more efficient knowledge discovery and utilization.
- · Research institutions
- · Data scientists
- · AI/ML developers
- · Scientific publishers
- · Inefficient knowledge management systems
- · Manual data curators
More sophisticated and interconnected scientific knowledge graphs will emerge.
AI-powered research assistants will become significantly more capable in identifying trends and connections across disciplines.
The acceleration of scientific discovery could lead to unexpected breakthroughs and the emergence of entirely new fields of study.
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