Second International Workshop on KNOWLEDGE GRAPH GENERATION FROM TEXT (TEXT2KG 2023)

  Context
=======
This workshop aims to bring together researchers from multiple focus areas
such as Natural Language Processing (NLP), Entity Linking (EL), Relation
Extraction (RE), Knowledge Representation and Reasoning (KRR), Deep
Learning (DL), Knowledge Base Construction (KBC), Semantic Web, Linked
Data, and other related fields to foster a discussion and enhance the state
of-the-art in knowledge graph generation from text. The participants will
find opportunities to present and hear about other emerging research and
applications, to exchange ideas and experiences, and to identify new
opportunities for collaborations across disciplines. We plan to involve the
many prominent research groups in the Semantic Web community which in the
last years focused on the generation of knowledge graphs from textual
sources in different fields, such as research data (ORKG,
AI-KG, Nanopublications), question answering (ParaQA, NSQA), common sense
(CSKG), automotive (CoSI,
ASKG), biomedical (Hetionet), and many others. This year, we are also
organizing the First International Biochemical Knowledge Extraction
Challenge
in TEXT2KG Workshop.
*Co-located event First International Biochemical Knowledge Extraction
Challenge (BiKE-2023)*
Most of the structured biochemical information available on the Web today
is manually curated, and it is practically impossible to keep pace with the
research being constantly published in scientific articles. Within this
challenge, we want to speed up and promote research on automatic
biochemical knowledge extraction mechanisms with the aim of increasing the
information available on natural
products to promote the development of environmental-friendly products
while increasing awareness of the biodiversity value.Awards: The first,
second and third best biochemical knowledge extraction methods are going to
be awarded as follows:
*First Place*: EUR 1000
*Second Place*: EUR 500
*Third Place*: EUR 250
For further information please visit: https://aksw.github.io/bike/

*TEXT2KG THEMES & TOPICS*
We are interested in (including but not limited to) the following themes
and topics that study the generation of Knowledge Graphs from text, based
on quantitative, qualitative, and mixed research methods.

∙ Approaches for generating Knowledge Graphs from text
∙ Ontologies for representing provenance/metadata of generated Knowledge
Graphs
∙ Benchmarks for KG generation from text
∙ Evaluation methods for KGs generated from text
∙ Industrial applications involving KGs generation from text
∙ Entity and relation extraction
∙ Entity and relation linking
∙ Semantic Parsing
∙ Open Information Extraction
∙ Deep Learning and Generative approaches
∙ Human-in-the-loop methods

*IMPORTANT DATES*
Paper submissions due: February 28th, 2023
Final decision notification: March 28th, 2023
Camera-ready submissions due: April 11th, 2023

*Submission Instructions *We invite full research papers, negative results,
position papers, dataset and system demo papers. Submissions must be
original and should not have been published previously or be under
consideration for publication while being evaluated for this workshop.
Submissions will be evaluated by the program committee based on the quality
of the work and its fit to the workshop themes. All submissions are
double-blind and a high-resolution PDF of the paper should be uploaded to
the EasyChair submission site before the paper submission deadline. The
accepted papers will be presented at the Text2KG workshop integrated with
the conference, and they will be published as CEUR proceedings. All must be
submitted and formatted in the style of the CEUR proceedings format. For
details on CEUR style, see CEUR’s Author Instruction. Overleaf Template:
https://www.overleaf.com/latex/templates/template-for-submissions-to-ceurworkshop-proceedings-ce
ur-ws-dot-org/wqyfdgftmcfw

*Submission Link*: https://easychair.org/conferences/?conf=text2kg0
*Workshop Link*: https://aiisc.ai/text2kg2023/
*Contact Person*: Sanju Tiwari (tiwarisanju18@ieee.org)

*Organizing Chairs:*
Sanju Tiwari, UAT Mexico,
Nandana Mihindukulasooriya, MIT-IBM Watson AI Lab, USA
Francesco Osborne, KMi, The Open University Dimitris Kontokostas, Diffbot,
Greece Jennifer D’Souza, TIB, Germany,
Mayank Kejriwal, University of Southern California, USA,
Dimitris Kontokostas, Diffbot, Greece

*Publicity Chair:*
Joey Yip, University of South Carolina, USA, joey@knoesis.org

*Advisory Committee*
 Edlira Vakaj, Birmigham City University, UK
 Anna Fensel, Wageningen University & Research & University of Innsbruck,
Austria
 Maria Esther Vidal, Leibniz University of Hannover and TIB, Germany
∙ Amit Sheth, University of South Carolina, USA
 Sören Auer, Leibniz University of Hannover and TIB, Germany
Enrico Motta, The Open University, United Kingdom
Fernando Ortiz-Rodriguez, Universidad Autonoma de Tamaulipas, Mexico
Sven Groppe, University of Lubeck, Germany


-- 
Regards
Dr. Sanju Tiwari (PhD, Post-Doc), SMIEEE
Sr. Researcher, Universidad Autonoma de Tamaulipas, Mexico
Visiting Researcher, InfAI, Leipzig University, Germany
DAAD Post-Doc-Net AI Fellow
General Chair *KGSWC-2022* (Third Indo-American Conference)
http://www.kgswc.org <http://www.kgswc.org/indo-american/>/
"Do what you love, Love what you do"