[DL] Fwd: CFP: 8th International Workshop on SEMANTIC WEB SOLUTIONS FOR LARGE-SCALE BIOMEDICAL DATA ANALYTICS (SeWeBMeDA-2025)

[SeWeBMeDA Workshop]

Apologies if you receive multiple copies. The following Call for Paper
might be interesting for you.

*Please feel free to forward/ share with the ones/ in your Teams for who
might be interested.*





 Call for Papers to the International Workshop on

 "*8th International Workshop on SEMANTIC WEB SOLUTIONS FOR LARGE-SCALE
BIOMEDICAL DATA ANALYTICS* (*SeWeBMeDA-2025*)"

co- event with Extended Semantic Web Conference 2025

website:  https://sites.google.com/view/sewebmeda-2025/home



*IMPORTANT DATES*
(All dates midnight Hawaii Time)

Submission deadline: March 6, 2025

Notifications: April 3, 2025

Camera-ready version: April 17, 2025

Workshop days: 1st or 2nd of June 2025





*MOTIVATION: *This workshop aims to accept papers that present the anatomy
of large scale linked data infrastructure, which covers: the distributed
infrastructure to consume, store and query large volumes of heterogeneous
linked data; using indexes and graph aggregation to better understand
large, linked data graphs, query federation to mix internal and external
data-sources, and linked data visualisation tools for health care and life
sciences. It will further cover topics around data integration, data
profiling, data curation, querying, knowledge discovery, ontology mapping /
matching / reconciliation and data / ontology visualisation, applications /
tools / technologies / techniques for life sciences and biomedical domain.
Workshop aims to provide researchers in biomedical and life science an
insight and awareness about large scale data technologies for linked data,
which are becoming increasingly important for knowledge discovery in the
life sciences domain.



*TOPICS* of interest include, but are not limited to Semantic Web and
Linked Data technologies in the following areas:

   -

   Generative AI and conversational AI applications in healthcare and life
   sciences
   -

   New technologies and exploitation of existing ones in Linked Data,
   Semantic Web and Large Language Models (LLMs).
   -

   Artificial intelligence including Neurosymbolic AI in health care and
   life science.
   -

    Dataspaces, Datawarehouse and Database Solutions and applications in
   Healthcare and life sciences.
   -

   Techniques for analyzing data in the life sciences, medicine and health
   care
   -

   Integration, analysis & data use in pursuit of challenges in the life
   sciences, medicine & health
   -

   Tools and applications for biomedical and life sciences
   -

   Large scale biomedical data curation and integration
   -

   Processing biomedical data at scale
   -

   Knowledge representation and knowledge discovery for biomedical data
   -

   Data and metadata publishing, profiling and new datasets in biomedical
   and life sciences
   -

   Question answering over biomedical & life science Linked Data,
   Ontologies and Knowledge Graphs
   -

   Querying and federating data over heterogeneous data sources
   -

   Biomedical ontology creation, mapping/ matching/ translation and
   reconciliation
   -

   Biomedical Ontology and data visualization
   -

   Building and maintaining biomedical knowledge graphs
   -

   Machine learning with biomedical knowledge graphs
   -

   Virtual and Augmented Reality in Biomedical/ Life Science education and
   applications
   -

   Risks and opportunities of using Semantic Web technologies in Healthcare
   and Life science
   -

   Data resources, tools and technologies relevant for research in ongoing
   Covid19 pandemic
   -

   Cleaning, quality assurance & provenance of data, services & processes
   in Biomedical/ Life Science
   -

   Knowledge Graphs and Relational Learning for Life Sciences
   -

   Intelligent Visualizations of Linked Life Science Data
   -

   Biomedical data quality assessment and improvement
   -

   From Semantics to Explanations in bio medicine and life science
   -

   Data streams, Internet of Things, mobile platforms, cloud environment in
   life science
   -

   Text analysis, text mining and reasoning using semantic technologies
   -

   New technologies and exploitation of existing ones in Linked Data and
   Semantic Web
   -

   Social, ethical and moral issues publishing and consuming biomedical and
   life sciences data


 *JOURNAL OF BIOMEDICAL SEMANTICS*

*Top selected manuscripts will be invited for submitting paper for the
special call at "Journal of Biomedical Semantics"*

*SUBMISSIONS**: *Workshop accepts following types of submissions:

·       *Full papers (up to 15 pages)*: Presenting novel scientific
research pertaining to topics relevant for workshop topics.
·       *Short papers (up to 8-10 pages):* New system and Dataset
descriptions, relevant to the topics of interest.
·       *Demo/Poster papers (up to 4 pages):* Describe a demo or poster of
a tool on the workshop topics.
·       *Position Paper (up to 6 - 8 pages)*.
·       *European/ International Project Showcase (up to 6-8 pages)*:
Introduce and disseminate the findings from ongoing and/or recently (within
last12 months of this workshop) finished project.
·       *Work-In progress (up to 5-10 pages)*: Ideal opportunity to submit
the incomplete results/ trends and receive feedback from experts in the
area.

*Submissions* must be in English formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS)
instructions available at:
https://sites.google.com/view/sewebmeda-2025/submission-information
*Workshop accepts PDF submissions only.*

Papers should be submitted through the EasyChair system (
https://easychair.org/my/conference?conf=sewebmeda2025) no later than
midnight *March 6, 2025, midnight Hawaii Time* . Submissions will be
reviewed by members of the workshop program committee. Papers will be
evaluated according to their significance, originality, technical content,
style, clarity, and relevance to the workshop.



*ORGANISERS & CONTACT INFORMATION : * *(* sewebmeda at gmail.com  *)*

·       Dr. Ali Hasnain

·       Prof Dr. Michel Dumontier

·       Prof Dr. Dietrich Rebholz-Schuhmann
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.zih.tu-dresden.de/pipermail/dl/attachments/20250121/d1fbdff4/attachment-0001.htm>