What is the Premise?
InnoGraph will build a holistic knowledge graph of innovation based on Artificial Intelligence (AI), and more generally of the global “hitech” ecosystem. It is a key use case of the Horizon Europe research project enrichMyData. InnoGraph originated from a partnership between OECD and the Jožef Stefan Institute (JSI) on the OECD.AI Policy Observatory, and prior Ontotext experience with Science KGs, e.g., the Tracking of Research Results project. Unlike OECD.AI, here we want to track AI elements not just at the summary level, but also at individual level.
What Does This Paper Include?
InnoGraph aims to comprehensively cover all elements of AI. As the first key step, we have built a comprehensive taxonomy of topics: AI technical topics and application areas (verticals).
This paper describes our approach to developing such a taxonomy by integrating and coreferencing data from numerous sources. It covers:
- Introduction
- Example: Github Topics
- Topics: Wikipedia Articles
- Category Pruning
- Collaborative Patent Classification: Application Areas
- Finding All CPC AI Topics
- Conclusion and Future Work
You can also check out the short version of this research.
