Preface to Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) at JCDL 2023

Zhang, C; Zhang, Y; Mayr, P; Lu, W; Suominen, A; Chen, H; Ding, Y

Preface to Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) at JCDL 2023

Zhang, C Zhang, Y

Mayr, P Lu, W Suominen, A Chen, H Ding, Y

Permalink

Publication Type:: Conference Proceeding
Citation:: CEUR Workshop Proceedings, 2023, 3451, pp. 1-5
Issue Date:: 2023-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (281.76 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, C
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301
dc.contributor.author	Mayr, P
dc.contributor.author	Lu, W
dc.contributor.author	Suominen, A
dc.contributor.author	Chen, H
dc.contributor.author	Ding, Y
dc.date.accessioned	2024-02-29T05:37:22Z
dc.date.available	2024-02-29T05:37:22Z
dc.date.issued	2023-01-01
dc.identifier.citation	CEUR Workshop Proceedings, 2023, 3451, pp. 1-5
dc.identifier.issn	1613-0073
dc.identifier.uri	http://hdl.handle.net/10453/175971
dc.description.abstract	The Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023; https://eeke-workshop.github.io/) and the 3rd AI + Informetrics (AII2023; https://ai-informetrics.github.io/) was held at Santa Fe, New Mexico, USA and online, co-located with the ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2023. The two workshop series aim to engage the communities in open problems in the extraction and evaluation of knowledge entities from scientific documents and the modeling and applications of AI + Informetrics for broad interests in science of science, science, technology, & innovation, etc. This joint workshop comprises keynote speeches, oral presentations, and poster sessions. The main topics of the proceedings include entity extraction and its applications, along with the integration of Artificial Intelligence + Informetrics.
dc.language	en
dc.relation.ispartof	CEUR Workshop Proceedings
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4609 Information systems
dc.title	Preface to Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) at JCDL 2023
dc.type	Conference Proceeding
utslib.citation.volume	3451
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-02-29T05:37:21Z
pubs.publication-status	Published
pubs.volume	3451

Abstract:

The Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023; https://eeke-workshop.github.io/) and the 3rd AI + Informetrics (AII2023; https://ai-informetrics.github.io/) was held at Santa Fe, New Mexico, USA and online, co-located with the ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2023. The two workshop series aim to engage the communities in open problems in the extraction and evaluation of knowledge entities from scientific documents and the modeling and applications of AI + Informetrics for broad interests in science of science, science, technology, & innovation, etc. This joint workshop comprises keynote speeches, oral presentations, and poster sessions. The main topics of the proceedings include entity extraction and its applications, along with the integration of Artificial Intelligence + Informetrics.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/175971