Semantic Web Solutions for Large-scale Biomedical Data analytics
When : 2017-05-28
Where : Portoroz, Slovenia
Submission Deadline : N/A
Categories : Computer Science & Information Technology , DBWorld: Database Management Systems
Semantic Web Solutions for Large-scale Biomedical Data analytics(SeWeBMeDA 2017)
28-29 May 2017,Portoroz, Slovenia
Call for Papers:
This workshop invites papers for life sciences and biomedical data processing, as well as the amalgamation with Linked Data and Semantic Web technologies for better data analytics, knowledge discovery and user-targeted applications. This research contribution should provide useful information for the Knowledge Acquisition research community as well as the working Data Scientist.
This workshop at the Extended Semantic Web Conference (ESWC) seeks original contributions describing theoretical and practical methods and techniques 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. SeWeBMeDA 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 of Interest:
1) Techniques for analysing semantic data in the life sciences, medicine and health care
2) The description, integration, analysis and use of data in pursuit of challenges in the life sciences, medicine and health
3) Tools and applications for biomedical and life sciences
4) Large scale biomedical data curation and integration
5) Processing biomedical data at scale
6) Knowledge representation and knowledge discovery for biomedical data
7) Data publishing, profiling and new datasets in biomedical and life sciences
8) Querying and federating data over heterogeneous datasources
9) Biomedical ontology creation, mapping/ matching/ translation and reconciliation
10) Biomedical Ontology and data visualisation
11) Text analysis, text mining and reasoning using semantic technologies
12) New technologies and exploitation of existing ones in Linked Data and Semantic Web
13) Social and moral issues publishing and consuming biomedical and life sciences data.
Important Dates:
- Submission deadline: Friday March 3, 2017, mid night Hawaii Time
- Notifications: Friday March 31, 2017, mid night Hawaii Time
- Camera-ready version: Thursday April 13, 2017, mid night Hawaii Time