Journal of Biomedical Semantics
All submitted manuscripts at workshop as well as new ones will be invited for submitting paper at "Journal of Biomedical Semantics" (JBMS).
Submission Deadline: 15th Feb 2021.
Please visit "Journal of Biomedical Semantics" for submission Guidelines. Before you submit, take some time for reading and ensuring that the submission matches the guidelines defined by the Journal. Journal follows specific submission format.
Call is open for new submissions. If you submit the extended version of already submitted/ accepted paper at (SeWeBMeDA-2017), (SeWeBMeDA-2018) , (SeWeBMeDA-2019) or (SeWeBMeDA-2020), please make sure to mention/ acknowledge in the Journal submission. Journal submission must at-least be 30% new and additional content and full article must not be less than 1000 words.
Important Notice
•If Full paper have been accepted at SeWeBMeDA (2017-19) workshop they still undergo a light-weight review.
•In case of Short/ Demo papers have been accepted at SeWeBMeDA (2017-20) workshop they undergo full / regular review.
•In case of new submissions they undergo full / regular review.
•Altogether, the review process decides on the acceptance, NOT the workshop participation. This is necessary to keep up the journal's quality considerations.
•Submissions at JBMS must be acknowledged as if this was the part of the SeWeBMeDA(2017-19) workshop.
Topics of interest
Topics of interest include, but are not limited to Semantic Web and Linked Data technologies in the following areas:
Techniques for analyzing semantic data in the life sciences, medicine and health care
The description, integration, analysis and use of data in pursuit of challenges in the life sciences, medicine and 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 and dialogues over biomedical and life science Linked Data, Ontologies and Knowledge Graphs–Querying and federating data over heterogeneous datasources
FAIR (Findable, Accessible, Interoperable and Reusable) publishing, usage and analysis of biomedical/ life science data
Scalable integration and reproducible analysis of FAIR (Findable, Accessible, Interoperable and Reusable) data
Virtual and Augmented Reality in Biomedical/ Life Science education and applications
Cleaning, quality assurance, and provenance of Semantic Web data, services, and processes in Biomedical/ Life Science
Querying and federating data over heterogeneous datasources
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
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 biomedicine and 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.
Contact
Email: ali.hasnain['@']gmail.com)