Dear All
We are glad to inform you, KGSWC-2023 proceedings are indexed in *LNCS*. It
is a pleasure to invite you to contribute your current research.
Here is our previous proceedings:
https://link.springer.com/conference/kgswc
Submissions are open for 2023, kindly submit your contribution in KGSWC
2023 at 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KGSWC 2023 invites to submit high-quality unpublished research papers on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
Adjunct Professor, Vardhaman College of Engineering, Hyderabad, India
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"
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