TY - CHAP
T1 - Preface to the Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024)
AU - Zhang, Chengzhi
AU - Zhang, Yi
AU - Mayr, Philipp
AU - Lu, Wei
AU - Suominen, Arho
AU - Chen, Haihua
AU - Ding, Ying
N1 - not scientific article
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Informetrics
KW - Knowledge entity evaluation
KW - Knowledge entity extraction
KW - Scientific document
UR - http://www.scopus.com/inward/record.url?scp=85202875676&partnerID=8YFLogxK
M3 - Chapter or book article
AN - SCOPUS:85202875676
T3 - CEUR Workshop Proceedings
BT - 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)
T2 - Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents and the 4th AI + Informetrics, EEKE-AII 2024
Y2 - 23 April 2024 through 24 April 2024
ER -