The 5th International Workshop
on Conceptual Modeling for Life Sciences
The recent advances in unraveling the secrets of human conditions and diseases have encouraged new
paradigms for their prevention, diagnosis, and treatment. As information is increasing at an
unprecedented rate, it directly impacts the design and future development of information and data
management pipelines; thus, new ways of processing data, information, and knowledge in healthcare
environments are strongly needed.
The fifth edition of the workshop aims to continue being a meeting point for Information Systems
(IS), Conceptual Modeling (CM), Data Management (DM), and Artificial Intelligence (AI) researchers
working on health care and life science problems. It is also an opportunity to share, discuss and
find new approaches to improve promising fields, with a special focus on Genomic Data Management
–
how to use the information from the genome to better understand biological and clinical features –
and Precision Medicine – giving to each patient an individualized treatment by understanding the
peculiar aspects of the disease.
From the precise ontological characterization of the components involved in complex biological
systems to the modeling of the operational processes and decision support methods used in the
diagnosis and prevention of diseases, the joined research communities of IS, CM, DM, and AI have
an important role to play; they must help in providing feasible solutions for high-quality and
efficient health care.
CMLS aims to become a forum for discussing the responsibility of the conceptual modeling community
in supporting the life sciences related to these new realities.
The fifth edition of the workshop focuses on Conceptual Modeling as a means for facing the challenges that emerge when designing and developing systems for life sciences, focused on genomics and precision medicine. The workshop is not restricted to specific research methods; we will consider both conceptual and empirical research, as well as novel applications.
The topics of interest include, but are not limited to:
The list of accepted papers for CMLS 2024:
We invite submissions of high quality papers describing original and unpublished results
regarding
any of the workshop’s topics of interest.
CMLS 2024 proceedings will be part of the ER 2024
Workshop volume published by Springer in the LNCS series.
The authors must submit manuscripts using the Springer-Verlag LNCS style for Lecture Notes in
Computer Science.
For style files and details, see the page https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
The page limit for workshop papers is 10 pages (plus 1-page references).
Papers must be submitted as PDF files using EasyChair at https://easychair.org/my/conference?conf=er2024,
choosing the track 'CMLS Workshop Paperes'.
To ensure high quality, all papers will be thoroughly peer reviewed by the Program Committee.
Manuscripts not submitted in the LNCS style or having more than 10 pages will not be reviewed
and thus automatically rejected.
The papers need to be original and not submitted or accepted for publication in any other
workshop, conference, or journal.
Submission to CMLS 2024 will be electronically only.
Papers will be judged on contribution, literature basis, novelty, clarity, relevance, and rigor.
The review process is double-blind. Submissions must be anonymized.
Alberto García S. obtained his Ph.D. cum laude at Universitat Politecnica de Valencia under the supervision of Prof. Oscar Pastor. He is currently a researcher at the VRAIN research institute, where he focuses on conceptual modeling, data science, and User Interface design. He has participated in multiple research projects in collaboration with clinicians and geneticists to generate knowledge from genomics data effectively and efficiently.
Anna Bernasconi is Assistant Professor at the Department of Electronics, Information, and Bioengineering at Politecnico di Milano and has been Visiting Research Fellow at Universitat Politecnica de Valencia. Her research areas are Bioinformatics, Databases, and Data Science, where she applies conceptual modeling, data integration, and knowledge engineering in several life sciences and other applied sciences domains, with a focus on building open-source tools and services. Since the COVID-19 pandemic, her research has moved to viral genomics, by building models, databases, and Web search systems for viral sequences and their variants. She co-organized and chaired the first four International Workshops on Conceptual Modeling for Life Sciences (CMLS 2020 through 2023) and the first three International Workshops on Web Applications for Life Sciences (WALS 2022 through 2024) co-located with the ICWE conference.
José F. Reyes R. is a Postdoctoral researcher and PMO at PROS Research Center at Universitat Politècnica de València (Spain). He holds a Ph.D. in Computer Sciences (2018) from Universitat Politècnica de València (UPV, Spain), a MSc in Software Engineering, Formal Methods and Information Systems (2013) from UPV (Spain), a Diplomate of Analysts and Systems Designers (2011) and a University Degree in System Engineering (2010) from Universidad Central del Este (Dominican Republic). Currently, his main research interests include Conceptual Modeling, Genomic Data Science, Explainable AI, Engineering Requirements, SE, and Information Systems Engineering. From a conceptual modeling perspective, he develops solutions in the genomic and clinical domain.
Edelweis Rohrer is a researcher and associte professor. She also serves as the head of the Software Engineering Department at the General Accounting of the Ministry of Economy of Uruguay. She holds a Ph.D. in design and foundations of ontologies with metamodelling, and a Master of Science degree in methodologies on ontology engineering, both from Universidad de la República, Uruguay. Her current lines of interest are ontological engineering and reasoning applied to the health field, particularly in detecting and preventing breast cancer.
