Call for Papers & Submission

This workshop invites papers for life sciences and biomedical data processing, as well as the amalgamation with Data and c Web technologies for better data analytics, knowledge discovery and user-targeted applications.

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 visualization 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 visualization, 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.

Topics of interest include, but are not limited to Web and Data technologies in the following areas:

  1. Data Integration
    • Dataspaces, data warehouses, and database solutions in healthcare and life sciences
    • Large-scale curation, integration, processing, and analysis of heterogeneous biomedical data
    • Cleaning, quality assurance, and provenance tracking for life sciences data
    • Biomedical data quality assessment and improvement
    • Implementation, governance, and assessment of FAIR data principles in life sciences
    • Data and metadata publishing, profiling, and discovery of new biomedical datasets
    • Data streams, Internet of Things, mobile platforms, cloud environment in life sciences
  2. Knowledge Representation
    • Biomedical ontology creation, mapping/ matching/ translation and reconciliation
    • Building and maintaining knowledge graphs in healthcare and life sciences
    • Knowledge graph enrichment using text mining and natural language processing techniques
    • Visualization and exploration of linked data, ontologies, and knowledge graphs in life sciences
  3. AI/ML/Reasoning over Ontologies and Knowledge Graphs
    • ML and relational learning over biomedical knowledge graphs
    • Neurosymbolic AI and hybrid reasoning approaches for biomedical data
    • Large language models integrated with biomedical knowledge graphs
    • Explainable AI approaches leveraging semantic technologies in life sciences
  4. Applications and Use Cases
    • Semantic technologies supporting research and clinical applications in life sciences
    • Querying and federating data over heterogeneous data sources
    • Virtual and augmented reality in life sciences education and applications
    • Generative AI and conversational AI applications in life sciences
  5. Ethical, Social, and Practical Considerations
    • Risks and opportunities of using Semantic Web and AI technologies in life sciences
    • Bias and fairness in AI systems for healthcare and life sciences
    • Challenges of explainability and accountability in AI systems for healthcare and life sciences
    • Responsible development of neuro-symbolic and generative AI in clinical workflows

Types of submission

The workshop accepts the following types of submission:

  • Scientific Papers: Long or short papers presenting novel research relevant to the workshop topics. Long papers should be 10-15 pages in length, while short papers should be 8-10 pages.
  • Demo Papers: Submissions showcasing technical advances or innovative tools in the biomedical and life sciences domains. Demo papers must not exceed 4 pages.
  • Position Papers: Submissions that identify open challenges, or propose new directions relevant to the workshop topics. Position papers should be 4–6 pages in length.
  • Work-in-progress Papers: Papers reporting preliminary, ongoing, or negative results that can foster discussion and feedback. These papers should be 5–10 pages in length.
  • European/ International Project Showcase: Papers presenting and disseminating results from ongoing or recently completed projects (within the last 24 months). These submissions should be 6–8 pages in length.

Submission Instructions

  • All submissions should be made through the EasyChair System and must be written in English. We accept PDF submissions only.
  • Submissions should be formatted according to the latest CEURART style to be published with CEUR-WS. An Overleaf project is available at as template. You can also download an offline version with the style files from http://ceur-ws.org/Vol-XXX/CEURART.zip.
  • Each submission must include the Declaration on Generative AI as a dedicated section at the end of the paper. This section is mandatory, even if no generative AI tools were used.
    • Example of declaration: "During the preparation of this work, the author(s) used ChatGPT, Grammarly in order to: Grammar and spelling check, Paraphrase and reword. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the publication’s content."
  • All the 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. The Workshop Chair has all the rights to cancel the workshop (at any time) due to insufficient and/or low-quality submissions or any other reason.