The 1st International Workshop on Semantics-Powered Data Analytics
When : 2016-12-15
Where : Shenzhen, China
Submission Deadline : 2016-10-15
Categories : DBWorld: Database Management Systems , Biomedical Engineering
The 1st International Workshop on Semantics-Powered Data Analytics
(SEPDA 2016)
December 15, 2016
Shenzhen, China
Call For Papers
Biomedical ontologies and controlled terminologies provide structured domain knowledge to a variety of health information systems. The rich thesaurus with concepts linked by semantic relationships has been widely used in natural language processing, data mining, machine learning, semantic annotation, and automated reasoning. The dramatically increasing amount of health-related data poses unprecedented opportunities for mining previously unknown knowledge with semantics-powered data analytics methods. However, due to the heterogeneity of different data sources, it is a challenging problem to leverage multiple sources to solve real-world problems, such as designing cost-effective treatment plan for patients, designing generalizable clinical trials, drug repurposing, and clinical phenotyping. The goal of this workshop is to bring people in the field of knowledge representation, knowledge management, and health data analytics to discuss innovative semantic methods, applications, and data analytics to address problems in healthcare, biomedicine, public health, and clinical research with biomedical, clinical, behavioral, and social web data.
Topics
Topics of interest include but not limited to:
Ontologies and Controlled Terminologies
- Ontology development and enrichment
- Quality assurance of ontologies and controlled terminologies
- Semantic harmonization and ontology alignment
- Knowledge representation and reasoning
Semantics-based Data Analytics
- Ontology-based literature mining
- Ontology-based analysis on biomedical, clinical, or social web data
- Named entity recognition and relation extraction on biomedical, clinical, or social web data
- Data mining or machine learning on biomedical, clinical or social web data
- Semantic annotation on biomedical, clinical or social web data
Data Integration
- Linked open data
- Novel approaches for data integration of heterogenous data sources
- Large scale data integration
Application
- Novel tools and ontologies for data interpretation and visualization
- Drug repurposing using semantic web technologies
- Clinical trial generalizability assessment using semantic web technologies
- Algorithmic phenotyping and cohort identification using ontologies
- Improving the literacy of health information consumers
