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DTMBio 2015 : Data and Text Mining in Bioinformatics


Conference Series : Data and Text Mining in Bioinformatics
When Oct 23, 2015 - Oct 23, 2015
Where Melbourne, Australia
Submission Deadline Jul 5, 2015
Notification Due Jul 23, 2015
Final Version Due Aug 7, 2015
Categories    bioinformatics   text mining   systems biology   data mining

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:

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.


All papers (in PDF format) should be submitted to:

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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