CFP: SeWeBMeDA-18 (Submission Deadline Extended March 12): SEMANTIC WEB SOLUTIONS FOR LARGE-SCALE BIOMEDICAL DATA ANALYTICS

Dear all,

the analysis of biomedical data with semantics technologies, also the 
representation of biomedical knowledge and the use of this knowledge in 
data analytics, all form key challenges in the current ICT world. 
Increasingly these solutions feed into and profit from large-scale 
infrastructure programs (such as Elixir).

Please join in for the workshop and submit your contributions (in 
biomedical semantics and data analytics) for a fruitful workshop (like 
last year). One more week to submit (12th of March deadline).

The workshop is co-localized with the ESWC 2018 in Crete (beginning of 
June).

Hope to see you there,
Dietrich

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Dr. Dietrich Rebholz-Schuhmann, MD, MSc, DSc, Prof, Director
Insight Centre for Data Analytics , Galway, Ireland


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

  Call for Papers to the International Workshop on

  "*SEMANTIC WEB SOLUTIONS FOR LARGE-SCALE BIOMEDICAL DATA 
ANALYTICS* (SeWeBMeDA)"-  co-located with *ESWC 2018*.

website: 
*/_https://sites.google.com/insight-centre.org/sewebmeda-2018/home 
<https://sites.google.com/insight-centre.org/sewebmeda-2018/home>_/*

*IMPORTANT DATES*

*Submission deadline (EXTENDED): Monday March 12, 2018, mid night Hawaii 
Time *

*Notifications: Friday March 30, 2018, mid night Hawaii Time*

*Camera-ready version: Friday April 13, 2018, mid night Hawaii Time*

Workshop Date: 3rd or 4th June 2018


*MOTIVATION*

A study from EMC in 2014 predicts the doubling of the available data in 
the “Digital Universe” every two years between now and 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 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 publishing, profiling and new datasets in biomedical and life
    sciences
  * Querying and federating data over heterogeneous datasources
  * Biomedical ontology creation, mapping/ matching/ translation and
    reconciliation
  * Biomedical Ontology and data visualisation
  * Text analysis, text mining and reasoning using semantic technologies
  * New technologies and exploitation of existing ones in Linked Data
    and Semantic Web
  * Social 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 querying the Web of Data
 2. Short papers (up to 8 pages):  Position papers, System 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 (4-8 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=sewebmeda18 
<https://easychair.org/conferences/?conf=sewebmeda18>) no later than 
midnight *Monday March 12, 2018, Hawaii Time (extended deadline)*. 
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.


*PROGRAM COMMITTEE*

Following is the list of (confirmed) program committee members not in 
any particular order:

  * Oscar Corcho - Universidad Politécnica de Madrid, Spain
  * Michel Dumontier - Maastricht University, Netherlands
  * Qurratal Ain Fatimah - University Hospital Galway, Ireland
  * Scott Marshall - Netherlands Cancer Institute, Netherlands
  * Holger Stenzhorn Saarland University Hospital, Germany
  * Vit Novacek - Insight Centre, NUI Galway, Ireland
  * Muhammad Saleem - AKSW- University of Leipzig, Germany
  * Mikel Egaña Aranguren - Eurohelp Consulting , Spain
  * Adrien Coulet - LORIA - INRIA Nancy-Grand Est, France
  * Ratnesh Sahay - Insight Centre, NUI Galway, Ireland
  * Dietrich Rebholz-Schuhmann - Insight Centre, NUI Galway, Ireland
  * Claudia d'Amato - Università degli Studi di Bari
  * Robert  Hoehndorf - King Abdullah University of Science and Technology
  * Oya Beyan - RWTH Aachen University
  * Jodi Schneider - University of Illinois
  * Alasdair Gray - Heriot-Watt University

*ORGANISERS & CONTACT INFORMATION*

  * Dr. Ali Hasnain, *(ali.hasnain['at']insight-centre.org
    <http://insight-centre.org/>)* Insight Centre for Data Analytics,
    National University of Ireland, Galway
  * Dr Oya Beyan - Fraunhofer FIT, RWTH Aachen University
  * Prof. Dr Stefan Decker - RWTH Aachen University, Fraunhofer FIT
  * Prof Dr. Dietrich Rebholz-Schuhmann (chair), Insight Centre, NUI
    Galway, Ireland


-- 
Dr. Dietrich Rebholz-Schuhmann, MD, MSc, DSc, Prof, Director
Insight Centre for Data Analytics , Galway, Ireland
Insight Research Institute, Natl Univ Ireland, Galway
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Twitter: jbiomedsem

Received on Tuesday, 6 March 2018 08:35:07 UTC