Abstract
The Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024; https://eeke-workshop.github.io/) and the 4th AI + Informetrics (AII2024; https://ai-informetrics.github.io/) was held in Changchun, China and online, co-located with the iConference2024. The two workshop series are designed to actively engage diverse communities in addressing open challenges related to the extraction and evaluation of knowledge entities from scientific documents and the modeling and applications of AI-empowered informetrics for broad interests in science of science, science, technology, & innovation, etc. The joint workshop features a comprehensive agenda, including keynotes from leading experts, oral presentations showcasing cutting-edge research, and poster sessions for in-depth discussions. The primary topics covered in the proceedings encompass the methodologies and applications of entity extraction, as well as the convergence of AI and informetrics, to drive advancements in these fields.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) co-located with the ( iConference2024) |
| Publisher | CEUR-WS |
| Number of pages | 8 |
| Publication status | Published - 2024 |
| MoE publication type | B2 Part of a book or another research book |
| Event | Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents and the 4th AI + Informetrics, EEKE-AII 2024 - Hybrid, Changchun, China Duration: 23 Apr 2024 → 24 Apr 2024 |
Publication series
| Series | CEUR Workshop Proceedings |
|---|---|
| Volume | 3745 |
| ISSN | 1613-0073 |
Conference
| Conference | Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents and the 4th AI + Informetrics, EEKE-AII 2024 |
|---|---|
| Country/Territory | China |
| City | Hybrid, Changchun |
| Period | 23/04/24 → 24/04/24 |
Funding
Chengzhi Zhang acknowledges the National Natural Science Foundation of China (Grant No. 72074113), and Yi Zhang was supported by the Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia, in conjunction with the National Science Foundation (NSF) of the United States, under CSIRO-NSF #2303037.
Keywords
- Artificial intelligence
- Informetrics
- Knowledge entity evaluation
- Knowledge entity extraction
- Scientific document