- From: Jiang, Guoqian, M.D., Ph.D. <Jiang.Guoqian@mayo.edu>
- Date: Mon, 13 Jun 2016 14:30:09 +0000
- To: w3c semweb HCLS <public-semweb-lifesci@w3.org>, "its@lists.hl7.org" <its@lists.HL7.org>
- Cc: "Cui edu>" <Cui.Tao@uth.tmc.edu>, "songdezhao@gmail.com" <songdezhao@gmail.com>
- Message-Id: <519743$3bj4u8@ironport10.mayo.edu>
Apologies for cross postings. THE FIRST INTERNATIONAL WORKSHOP ON BIOMEDICAL DATA INTEGRATION AND DISCOVERY (BMDID 2016) ISWC2016 Workshop October 17-21,2016 Kobe, Japan https://bmdid2016.github.io/ Introduction Addressing healthcare needs of patients around the world requires a diverse approach and collaborative effort as awareness, costs and benefits are quite ambiguous. Driving an awareness to link what treatments drive and optimize patient health and safety is paramount and difficult - unless you are approaching it semantically. Many of the social tools used today are global such that data collection through social media is quite popular. The linking of such broad information to gather and unveil the ambiguity of costs and benefits is the first step towards awareness - the first step. The next step is the hard and costly part of the problem - the design of a medicinal treatment that will positively impact the patients and their families lives in a cost effective manner. We are fortunate to live in 2016 - where science, technology, engineering and mathematics (STEM) is advancing quite rapidly. The problems that society has tackled are impressive indeed - however the challenge of data overload is paramount. Important Dates July 7th, 2016: paper submission deadline July 31st 2016: Notifications send to authors August 15th 2016: Camera ready version submission August 21st 2016: Workshop proceedings available online Topics of Interest Topics include, but are not limited to, the following: Biomedical Data Integration Integration of heterogeneous data sources Data integration using crowd-sourcing techniques Large-scale data integration Data Model Schema and Ontology matching Biomedical Knowledge Representation and Reasoning Biomedical data quality, standardization and normalization Biomedical Knowledge Discovery Machine learning and statistical approaches for biomedical data mining Rule-based systems for analyzing and mining biomedical text Semantic annotation of biomedical text Named Entity Recognition and Relation Extraction for biomedical text Entity Linking for/between Free Text and Structured Data Data mining and Machine Learning for social media and their application to the biomedical and clinical domain Applications Drug design and manufacturing based on Semantic Data Integration and Discovery Drug repurposing using semantic web technologies Pharmacovigilance and drug/vaccine safety signal identification Novel tools for biomedical data visualization Novel tools for visualizing ontologies, models and reasoning paths to biomedical domain experts Precision medicine and cancer informatics Biomedical data discovery index Big data applications in biomedical domains Submission Format We seek the following types of submissions: Full scientific papers: up to 12 pages Short scientific papers: up to 6 pages All submissions must be in PDF and formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). Submissions must be made through the following website:easychair.org/conferences/?conf=bmdid2016.<https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dbmdid2016.&d=CwMGAg&c=6vgNTiRn9_pqCD9hKx9JgXN1VapJQ8JVoF8oWH1AgfQ&r=rU0xbuUUZBApOE6jIK_XrMfYY0v8xTkoHsG04jzCC9Q&m=WY4EDp7CgCp9l850vWzXM_Vj4IsexuA8HNwnu-q8Sbc&s=ac9T71UTDoLmm1t83I53bVeekUDHPgEakBuk_xnPqRc&e=> Proceedings The workshop proceedings will be published in CEUR We are planning to invite best selected papers to submit an extended version to a journal special issue. Organizing Committee Cui Tao, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, USA Dezhao Song, Research and Development, Thomson Reuters, USA Guoqian Jiang, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA Frank Schilder, Research and Development, Thomson Reuters, USA Jeff Heflin, Dept. of Computer Science and Engineering, Lehigh University, USA Guoqian Jiang, M.D., Ph.D. =============================================================== Associate Professor of Biomedical Informatics Associate Consultant in Department of Health Sciences Research, Division of Biomedical Statistics & Informatics, Mayo Clinic College of Medicine 200 First Street, SW, Rochester, MN, 55905 Tel: 1-507-266-1327 Fax: 1-507-284-1516 Email: jiang.guoqian@mayo.edu<mailto:jiang.guoqian@mayo.edu> =================================================================
Received on Monday, 13 June 2016 14:30:35 UTC