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DTMBio 2015 : Data and Text Mining in BioinformaticsConference Series : Data and Text Mining in Bioinformatics | |||||||||||||||
Link: http://www.dtmbio.net/dtmbio2015/ | |||||||||||||||
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Call For Papers | |||||||||||||||
ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO) October 23, 2015 In conjunction with ACM 24th Conference on Information and Knowledge Management (CIKM) Melbourne, Australia October 19 -October 23, 2015 Conference Website: http://informatics.yonsei.ac.kr/dtmbio2015/ DTMBIO 15 organizers are pleased to announce that the sixth DTMBIO will be held in conjunction with CIKM, one of the largest data and text mining conferences. While CIKM presents the state-of-the-art research in informatics with the primary focus on data and text mining, the main focus of DTMBIO is on biomedical and health informatics. DTMBIO delegates will bring forth interesting applications of up-to-date informatics in the context of biomedical research. Biological researchers face the current challenge of making effective use of the enormous amount of electronic biomedical data in order to better understand and explain complex biological systems. The biomedical data repositories include data in a wide variety of forms, including bibliographic information from electronic medical journals, gene expression data from microarray experiments, protein identification and quantification data from proteomics experiments, genomic sequences gathered by the Human Genome Project, and patient healthcare records. The ability to automatically and effectively extract, integrate, understand and make use of information embedded in such heterogeneous – structured and unstructured – data remains a challenging task. We invite the submission of papers that propose ways to address the variety of aspects involved in meeting this challenge. Topic of Interest The relevant topics include the following (but not limited to): - Biomedical and Clinical text mining applications - Integration of structured and unstructured resources for biomedical applications - Information extraction from biomedical and clinical corpora (published literature, grey literature, EHRs, clinical trials, etc.) - Information retrieval from large biomedical data collections - Gene sequence annotation - Protein/RNA structure prediction - Medical Ontologies and Text Mining - Entity or Concept recognition in text with ontologies - Sequence and structural motifs - Modeling of biochemical pathways and biological networks - Image Mining in Medical and healthcare informatics - Data and Text Mining solutions in biomedical informatics, for applications such as drug development, system biology, biomedical working processes - Information integration for Data and Text Mining - Mining multi-relational data - Proposal and assessment of novel Text Mining (TM) evaluation startegies - Evaluation methods of biomedical applications, shared tasks Submission Guidelines Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted electronically, in PDF format and formatted using the ACM camera-ready templates. Full papers: Submissions must describe substantial, original, completed and unpublished work. Full papers may consist of up to eight pages. Full papers will be presented at the workshop. Short papers: DTMBIO 15 solicits short papers as well. Short paper submissions must describe original and unpublished work. Short papers will be presented at the workshop, and will be given four pages in the proceedings. Demos: All papers (in PDF format) should be submitted to: http://www.easychair.org/conferences/?conf=dtmbio15 Selected full papers will be invited for a special issue of BMC Medical Informatics and Decision Making. Important Dates (tentative) ------------------------------ 07/05/15 Deadline for submission of papers 07/23/15 Notification of Acceptance 08/07/15 Camera Ready Papers 10/23/15 Workshop Workshop Chairs General Co-Chair: Doheon Lee, KAIST, Korea Program Co-Chairs: Min Song, Yonsei University, Korea Karin Verspoor, University of Melbourne, Australia Publicity Chair: Sangwoo Kim, Yonsei University, Korea Program Committee: Tatsuya Akutsu Kyoto University, Japan Sophia Ananiadou, University of Manchester, England Olivier Bodenreider, US National Library of Medicine, USA Tudor Groza, The Garvan Institute of Medical Research, Australia Wook-Shin Han, POSTECH, Korea Lynette Hirschman, MITRE, USA Doheon Lee, KAIST, Korea Eunjun Lee, KAIST, Korea Hyunju Lee, GIST, Korea Sejoon Lee, KAIST, Korea Ulf Leser, Institut für Informatik, Humboldt-Universität zu Berlin Li Liao, University of Delaware, USA Feifan Liu, University of Wisconsin-Milwaukee, USA Meenakshi Mishra, University of Kansas, USA Makoto Miwa, University of Manchester, UK Claire Nédellec, Institut National de Recherché Agronomique, France Zoran Obradovic, Temple University, USA Sampo Pyysalo, University of Tokyo, Japan Andrey Rzhetsky, University of Chicago, USA Sourav S Bhowmick, Nanyang Technological University, Singapore Lee Sael, State University of New York Korea, Korea Vijay Shanker, University of Delaware, USA Hagit Shatkay, University of Delaware, USA Min Song, Yonsei University, Korea Manabu Torii, Kaiser Permanente, USA Jay Urbain, Milwaukee School of Engineering, USA Karin Verspoor, The University of Melbourne, Australia W. John Wilbur, NIH, USA Wei Xiong, Northwest Missouri State University Hwanjo Yu, POSTECH |
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