Journal of Biomedical Semantics

Journal of Biomedical Semantics

All submitted manuscripts at workshop as well as new ones are invited for submitting paper at "Journal of Biomedical Semantics" (JBMS).

The submissions are open. Extended Deadline is Tuesday 10th December 2019. Friday 17th of January 2020.

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) or (SeWeBMeDA-2019), 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 (2017-19) 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 analysing 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
• 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
• Querying and federating data over heterogeneous datasources
• Biomedical ontology creation, mapping/ matching/ translation and reconciliation
• Biomedical Ontology and data visualisation
• Building and maintaining biomedical knowledge graphs
• Machine learning with biomedical knowledge graphs
• Knowledge Graphs and Relational Learning for Life Sciences
• Intelligent Visualisations 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

Ali Hasnain

Email: ali.hasnain['@']gmail.com)

National University of Ireland, Galway

Insight Centre for Data Analytics,

IDA Business Park,

Lower Dangan,

Galway, Ireland

Phone: +353 91 495150