This workshop invites papers for life sciences and biomedical data processing, as well as the amalgamation with Linked Data and Semantic Web technologies for better data analytics, knowledge discovery and user-targeted applications. This research contribution should provide useful information for the Knowledge Acquisition research community as well as the working Data Scientist.

This workshop seeks original contributions describing theoretical and practical methods and techniques 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. SeWeBMeDA 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.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers (up to 15 pages): Presenting novel scientific research pertaining to topics relevant to the 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 the last 24 months of this workshop) finished project.

• Work-in-progress (up to 5-10 pages): Ideal opportunity to submit incomplete results/ trends and receive feedback from experts in the area

List of Topics

Topics of interest include, but are not limited to Web and 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

Committees

Program Committee

Following is the list of (confirmed/possible/TBC) program committee members not in any particular order:

• Michel Dumontier - Maastricht University, Netherlands

• Qurratal Ain Fatimah - University Hospital Galway, Ireland

• Maria-Esther Vidal - Universidad Simón Bolívar, Caracas, Venezuela

• M Scott Marshall - Netherlands Cancer Institute, Netherlands 

• Pierre-Yves.Vandenbussche - Elsevier Labs, Amsterdam Area, Netherlands.

• Holger Stenzhorn Saarland University Hospital, Germany

• Antoine Zimmermann -  ENSIMAG, France 

• Vit Novacek - Insight Centre, NUI Galway, Ireland 

• Muhammad Saleem - AKSW- University of Leipzig, Germany

• Mikel Egaña Aranguren - University of Basque Country, Spain

• Helena F. Deus - Disruptive Technologies, Elsevier Labs

• Adrien Coulet - LORIA - INRIA Nancy-Grand Est, France

• Ratnesh Sahay - Novartis, UK  

• Dietrich Rebholz-Schuhmann - Information Centre for Life Sciences, Cologne University

• Sujan Perera - IBM Watson USA

• Claudia d'Amato - Università degli Studi di Bari

• Robert Hoehndorf - King Abdullah University of Science and Technology

• Jodi Schneider - University of Illinois Urbana Champaign

• Alasdair Gray - Heriot-Watt University

• Alba Morales Tirado - The Open University

Organizing committee

• Assit Professor Dr. Ali Hasnain (Chair)
• Prof Dr. Michel Dumontier
• Prof Dr. Dietrich Rebholz-Schuhmann 

Invited Speakers

• TCB

Publication

Proceedings: The Proceedings of SeWeBMeDA-2024 are planned to be published at CEUR Workshop Proceedings

Journal submissions: Top selected manuscripts will be invited to submit their paper for the special call at "Journal of Biomedical Semantics"

Venue

Grand hotel Bernardin 5*

Obala 2

6320 Portorož, Slovenia

P: +386 (0)5 690 70 00

F: +386 (0)5 690 70 10

http://www.bernardingroup.si/en/

GPS coordinates: N 13° 34' 9", E 45° 31' 1"

Contact

All questions about submissions should be emailed to: (sewebmeda['@']gmail.com)