- From: Mikel Egaña Aranguren <megana@fi.upm.es>
- Date: Fri, 13 Jan 2012 22:41:09 +0100
- To: semantic-web@w3.org
Apologies for cross-posting, please recirculate as appropriate. ======================================================================== CALL FOR PAPERS Semantic Web Journal Linked Data for Health Care and the Life Sciences http://semantic-web-journal.net/blog/special-issue-linked-data-health-care-and-life-sciences ======================================================================== ============ Introduction ============ Due to their descriptive nature and ongoing need to integrate large amounts of heterogeneous data, the areas of health care and the life sciences have long been used as a test-bed for the feasibility of Semantic Web technologies. Large scale integration projects like Bio2RDF, Chem2Bio2RDF, and the W3C HCLS’s (Health Care and Life Sciences) Linked Open Drug Data (LODD) have not only significantly contributed to the development of the Semantic Web’s Linked Data effort, but have also made social and technical contributions towards data integration, knowledge management, and knowledge discovery. As efforts are now being made towards exposing and integrating biomedically relevant data with standardized vocabularies and ontologies, new challenges have arisen towards creating applications for clinical research and ultimately improved delivery of health care. Towards the goal of semantic interoperability of data and vocabularies in and across health care in the life sciences and the development of new functionality that this infrastructure provides, we invite high-quality original papers for a special issue on Linked Data for Health Care and the Life Sciences. The following types of papers will be accepted: full research papers, methodology papers, review papers, descriptions of ontologies, and application reports. ====== Topics ====== Topics include but are not limited to: Identifier schemes and systems Biomedical ontologies, vocabularies, design patterns and datasets Linked Data for the Life Sciences Linked Data for Clinical Research Linked Data for Health Care Linked Data for Electronic Health Care records Linked Data for Decision Support Systems Linked Data for Semantic Interoperability in Health Care Linked Data for Translational Medicine Data consistency checking and validation Provenance for biomedical data and scientific discourse Quality and evaluation metrics Hypothesis formulation and testing Knowledge discovery Scientific analyses over Linked Data Query interfaces for scientists Visualization of biomedical datasets Large scale and real time reasoning =============== Important Dates =============== Manuscript submission: April 1st, 2012. Author notification: June 1st, 2012. =========== Submissions =========== The special issue on Linked Data for Health Care and the Life Sciences calls for high quality original articles on any of the above mentioned topics. Authors are requested to follow the author guidelines for the Semantic Web Journal, submit online as detailed in the author guidelines, and include the name of the call within the submission letter. All manuscripts will be reviewed based on the Semantic Web Journal open and transparent review policy and will be made available online during the review process. ============= Guest editors ============= Mikel Egaña Aranguren (megana@fi.upm.es), School of Computer Science, Technical University of Madrid (UPM), Spain. Michel Dumontier (michel.dumontier@gmail.com), Department of Biology, Institute of Biochemistry and School of Computer Science, Carleton University, Ottawa, Canada. Jesualdo Tomás Fernández Breis (jfernand@um.es), Faculty of Computer Science, University of Murcia (UM), Spain. ======================================================== Confirmed guest editorial board members (To be extended) ======================================================== Scott M. Marshall, University of Amsterdam Eric Prud'hommeaux, W3C Mark Wilkinson, University of British Columbia Andrea Splendiani, Rothamsted Research Erick Antezana, Norwegian University of Science and Technology Helena Deus, DERI Richard Boyce, University of Washington Nigam Shah, Stanford University Oscar Corcho, Technical University of Madrid Robert Stevens, University of Manchester Barry Bishop, Ontotext Stefan Schulz, Medical University of Graz Jyotishman Pathak, Mayo Clinic College of Medicine Damon Berry, Dublin Institute of Technology Boris Villazón Terrazas, Technical University of Madrid Raúl García Castro, Technical University of Madrid Iker Huerga, Elsevier -- Mikel Egaña Aranguren, PhD http://mikeleganaaranguren.com Marie Curie post-doc at Ontology Engineering Group, UPM http://www.oeg-upm.net/
Received on Friday, 13 January 2012 22:25:43 UTC