MEDA 2018

Fort Worth, Texas, USA, 3 - 6 June 2018

Curative Power of MEdical DAta

MEDA 2018 aims to gather innovative approaches for the exploitation of biomedical data using semantic web technologies and linked data by bringing together practitioners, researchers and scholars to share examples, use cases, theories and analysis of biomedical data. the main objective of the second edition workshop is to consolidate an internationally appreciated forum for scientific research in BioMed, with emphasis on crowdsourcing, semantic web, knowledge integration and data linking.

In an era when massive amounts of medical data became available, researchers working in biological, biomedical and clinical domains have increasingly started to require the help of language engineers to process large quantities of biomedical and molecular biology literature (such as PubMed), patient data or health records. Linking the contents of these documents to each other, as well as to specialized ontologies, could enable access to and discovery of structured clinical information and foster a major leap in natural language processing and health research.


April, 27 2018 – Submission of papers

April, 30 2018 – Notification of acceptance

May 3, 2018 – Early registration deadline

May 7, 2018 – Camera-Ready Papers

June 6, 2018 – Workshop date


  • Crowdsourcing approaches in biomedicine
  • Collaborative computational technologies for biomedical research
  • Biomedical digital libraries
  • Mining biomedical literature
  • Event-based text mining for biology and related fields
  • Event and entity extraction in medical texts
  • Conceptual graphs extracted from medical texts
  • Annotation of semantic content, with applications in medicine and biology
  • Techniques for Big Data in Healthcare
  • Medical search engines
  • Distributed communication system in biomedical applications
  • Deep learning for bioinformatics
  • Biomedical question/answering
  • Biomedical topic modeling
  • Biomedical language systems
  • Text summarization in the biomedical domain



We invite submissions of papers (up to 8 pages), representing original, previously unpublished research, innovative approaches and resource types, use cases or in-depth discussions.

Submissions must use the PDF file format and must adopt the style of the ACM Proceedings.

Submissions that exceed the page limit will be rejected without review.

All submissions must be submitted online through the EasyChair system following the submission link:

Authors of all accepted papers will be invited to provide an extended version of their MEDA submission to be included in the Data Journal. Data is an open access journal on data in science, indexed in the Emerging Sources Citation Index (ESCI) – Web of Science and Inspec (IET).

To ensure high quality, all papers will be thoroughly reviewed by the MEDA2018 Program Committee. All reviews will be double blind, and hence authors are instructed not to include their identity, affiliation(s) or contact details, and to anonymity any references that would reveal the authorship of the paper. Papers submitted to other conferences or journals must state this fact.

At least one author of each paper must register using the JCDL registration page to have the paper published in the MEDA-2018 Proceedings. All accepted papers must be presented at the workshop by one of the authors. The registration for JCDL2018 workshops (including MEDA 2018) will be managed by the JCDL organizers. Information is not updated yet, but from our experience with the last edition of JCDL, the fee ranged from 50 to 150 dollars, depending on the type of registration. Early registration is expected to end around 30 April. Please come back later or visit JCDL registration page for updated information.



Gilles Adda (LIMSI-CNRS, Orsay)

Yannis Almirantis (National Center for Scientific Research Demokritos, Athens, Greece)

Anita Burgun (Paris Descartes University, INSERM Cordeliers Research Center, AP-HP Necker Children’s Hospital and Georges Pompidou European Hospital)

Kevin Cohen (U. Colorado School of Medicine & Université Paris-Saclay, Orsay, France)

Trevor Cohen (University of Texas Health Science Center at Houston, School of Biomedical Informatics)

Edward A Fox (Virginia Tech, Blacksburg, VA, United States)

Eric Gaussier (Université Paris-Saclay, Orsay, France)

Daniela Gîfu (“Alexandru Ioan Cuza” University of Iași, Romania, Romanian Academy – Iaşi branch)

Kishaloy Halder (School of Computing. National University of Singapore)

Zhiyong Lu (National Center for Biotechnology Information, Bethesda, Maryland)

Aurélie Névéol (LIMSI, CNRS, Université Paris-Saclay, Orsay, France)

Diana Trandabăț (“Alexandru Ioan Cuza” University of Iași, Romania)

Alfonso Valencia (CNIO, Spain)

Jingbo Xia (Huazhong Agricultural University, P.R. China)

Pierre Zweigenbaum (LIMSI, CNRS, Université Paris-Saclay, Orsay, France)


Diana Trandabăț (“Alexandru Ioan Cuza” University of Iași, Romania)

Daniela Gîfu (“Alexandru Ioan Cuza” University of Iași, Romania

Romanian Academy – Iaşi branch)

Kevin Cohen (Computational Bioscience Program U. Colorado School of Medicine)

Jingbo Xia (Huazhong Agricultural University, P.R. China)


More information here.

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