About CSHALS 2013
Linked Data and Semantic Web technologies have now burst out of the research
labs and are becoming effective, cost-saving technologies that are an integral
part of the academic and industrial Big Data infrastructure.
CSHALS 2013 offers a singular opportunity for academic and industry partners
involved in developing and implementing semantically-interoperable technologies
to share their insights and experience and learn about the state-of-the-art
pertaining to Healthcare and Life Sciences.
Topics covered by CSHALS 2013 span the continuum between standards development and big data workflows - from Life Science data representation to its analysis. We are inviting submissions for poster and oral presentations in the following topic areas:
- Linked Data - generation, representation, and management of data using the W3C’s Resource Description Framework (RDF) and Linked Data principles.
- Data Modeling - Ontologies, Taxonomies - practical application of knowledge engineering principles and techniques to data modeling.
- Text Analysis, NLP, Question Answering - use of semantic technologies for processing natural language.
- Cloud, Parallel, and Distributed Computing - use of semantic technologies for representation and management of distributed computational resources and workflows.
- Healthcare eScience - Translational Medicine, Pharmacogenomics, personal health records (PHR) - patient-centric use of semantic web technologies to handle the integration of clinical and biomolecular data.
- Business Intelligence, Machine Learning, and Analytics - semantic applications for data analysis, inference, and decision-making.
- Human Computer Interfaces - development of interfaces or design criteria that involve humans in the process of knowledge creation.
- Clinical Applications - Use of semantic web technology or architectures, including the orchestration of webApp ecosystems, as part of medical care delivery.
- Molecular Applications - Deployments of semantic web technology in biomolecular and biochemical domains.
- Applications to Emerging Health Disciplines - Use of
the semantic web’s integrative and distributed nature to support emergence
of novel applications in health care.