Call for Papers: Knowledge Graph and Semantic Web Conference LNCS Indexed, The Fifth edition of the iberoamerican conference KGSWC 2023

The Fourth edition of the Indo-American Conference KGSWC 2023, Zaragoza,
Spain. - November 13 - 15, 2023, http://kgswc.org/

Background
============

The Knowledge Graph and Semantic Web Conference is an international
scientific conference series devoted to knowledge graph and semantic web
research. Due to COVID-19 pandemic, this edition of the conference will be
online. The prime goals of the conference are:

(i) to provide a forum for the semantic web community, bringing together
researchers and practitioners in industry to share ideas about R&D projects
and

(ii) to increase the adoption of semantic web technologies in the region.

Topics
========
Topics of interest include, but not limited to:

Combining Semantic Graphs with Property Graphs

Deep Learning on Knowledge Graphs

Probabilistic Knowledge Graphs

Text Mining and Natural Language Processing

Linked Data

Social Web & Web Science

Mobile Web, Sensors and Semantic Streams

Services, APIs, Processes and Cloud Computing

Vocabularies, Schemas, Ontologies

Reasoning

Benchmarking and Empirical Evaluation

Scientific Semantic Web

Knowledge Graph into LLMs


Submissions and Proceedings
==============================

KGSWC 2023 invites to submit high-quality unpublished research papers on
the topics of the conference. The submissions cannot be under review or
acceptance for publication in a journal or another conference. The papers
will be reviewed by at least three independent reviewers and submitted for
plagiarism detection check.

The submissions must be written in English using the guidelines resources
(Springer Guide). We receive full papers (12-15 pages) and short papers
(6-8 pages) and may be submitted in PDF via the Easychair system below:

https://easychair.org/conferences/?conf=kgswc2023

It is planned to publish the proceedings of KGSWC 2023 with Springer in
their* Lecture Notes in Computer Science* (LNCS) series.

-- 
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"