SeWeBMeDA-2020: Call for papers

***** Apologies if you receive multiple copies of this CFP  announcement
*****

 Call for Papers to the International Workshop on
 "*4th (virtual) Workshop on SEMANTIC WEB SOLUTIONS FOR LARGE-SCALE
BIOMEDICAL DATA ANALYTICS* (SeWeBMeDA-2020)"-
website:  https://sites.google.com/view/sewebmeda-2020/home


*IMPORTANT DATES*
(all dates mid night Hawaii Time)

Abstract: July 10, 2020
Submission: July 20, 2020
Notification: August 20, 2020
Camera-ready: September 10, 2020
Workshop(Virtual/ Online): 7th November 2020

*MOTIVATION*

A study from EMC in 2014 predicts the doubling of the available data in the
“Digital Universe” every two years by 2020. This rapid growth is a
challenge for society – how to put the available data to use effectively?
This is a challenge in many areas including Medicine and Life Sciences.
Advanced technologies and the emerging Open Data phenomenon produce an
ever-increasing amount of data, which needs to be interpreted and examined.
To turn data into knowledge, data scientists need to effectively process,
filter, interpret cluster and learn from the available data. This process
currently is largely unsupported – data scientists are spending time and
money on processing data, configuring infrastructure, writing code etc.,
which is a large loss of productivity and unexploited opportunities, if
data scientists with the necessarily skills are available at all.

To meet these challenges technologies from different areas need to be
combined which help to execute computationally demanding tasks. Linked Data
and Semantic Web technologies, coming from a different direction, help to
bring heterogeneous data sources together to exploit and make sense of
different datasets and making it easier to process semantically
heterogeneous data.

This workshop aims to accept papers 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 visualisation 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 visualisation, applications / tools /
technologies / techniques for life sciences and biomedical domain. Workshop
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*

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.

*JOURNAL OF BIOMEDICAL SEMANTICS*

*Top selected manuscripts will be invited for submitting paper for the
special call at "Journal of Biomedical Semantics"*

*SUBMISSIONS*

Workshop accepts three types of submissions:

   1. Full papers (up to 15 pages): Presenting novel scientific research
   pertaining to topics relevant for workshop topics.
   2. Short papers (up to 8 pages):  New System, innovative idea and
   Dataset descriptions, relevant to the topics of interest.
   3. Demo/Poster papers (up to 4 pages): Describe a demo or poster of a
   tool on the workshop topics.
   4. Position Paper (up to 6 - 8 pages).

Submissions must be in English formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.

*Workshop accepts PDF submissions only.*

Papers should be submitted through the EasyChair system (
https://easychair.org/conferences/?conf=sewebmeda2020) no later than
midnight  *July 20, 2020, mid night Hawaii Time*  . 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.

*ORGANISERS & CONTACT INFORMATION*

   - Dr. Ali Hasnain, *(ali.hasnain['at']**gmail.com <http://gmail.com>*
   *).  *
   - Dr Vit Novacek
   - Prof Dr. Michel Dumontier
   - Prof Dr. Dietrich Rebholz-Schuhmann