ACM first International Workshop on Text Mining in Biomedical Informatics
(TMBIO) November 10, 2006
ACM First International Workshop on Text Mining in Bioinformatics (TMBIO) 2006
November 10, 2006. In conjunction with ACM Fifteenth Conference on Information
and Knowledge Management (CIKM), November 6-11, 2006, Sheraton Crystal City
Hotel, Arlington, VA 22202 USA
A fundamental issue that biological researchers encounter today is how to make
effective use of the enormous amount of biomedical data to improve their
understanding of complex biological systems. The biomedical data repositories
are formed from various ways such as bibliographic information from electronic
medical journals, gene expression data from Microarray experiments, protein
identification and quantification data from proteomics experiments, and genomic
sequences gathered by the Human Genome Project. The ability to automatically
and effectively extract, integrate, understand and make use of information
embedded in such heterogeneous unstructured data remains a challenging task.
Topic of Interests
The relevant topics include the following (but not limited to):
* Application and assessment of Text Mining (TM) algorithms,
* Information extraction from biomedical literatures,
* TM dealing with large and distributed biomedical data sets,
* Entities extraction from unstructured biomedical data sets,
* Improving and assessing data quality in TM,
* Application of ontologies to biomedical domains,
* Integration of Information Retrieval to TM in biomedical domains,
* Case studies,
* Evaluation methods for TM,
* Information integration for TM,
* Mining multi-relational data.
Goals and Intended Audience
In order to build Text Mining systems that contribute to our understanding of
biological systems, solutions to the above problems have to be assembled into
efficient and scalable systems. The workshop aims at facilitating this process,
and at enhancing the exchange of knowledge between computational biologists and
knowledge discovery researchers. Accordingly, our intended audiences are both
computational biologists and Text Mining researchers.
A Special Journal Issue
Expanded versions of the best accepted papers will be invited to appear in a
special issue of International Journal of Data Mining and Bioinformatics.
Authors are invited to submit original, unpublished research papers that are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 available at
A website with camera-ready instructions is available at
Please send your submission electronically to min.song at njit.edu by the deadline
Min Song, New Jersey Institute of Technology, U.S.A.
Zoran Obradovic, Temple University, U.S.A.
Robert B. Allen, Drexel University, U.S.A.
Steffen Bickel, Humboldt University, Germany
Christian Blaschke, Bioalma, Spain
Aaron M. Cohen, Oregon Health & Science University, U.S.A.
Milton Corn, NIH, U.S.A.
David J. Foran, The Cancer Institute of New Jersey - UMDNJ, U.S.A.
Xiaohua Tony Hu, Drexel University, U.S.A.
Tapas Kanungo, IBM Almaden Research Center, U.S.A.
Hongfang Liu, Georgetown University, U.S.A.
Martin Middendorf, University of Leipzig, Germany
Haesun Park, Georgia Tech, U.S.A.
Predrag Radivojac, Indiana University, U.S.A.
Melissa Rogers, UMDNJ - NJ Medical School, U.S.A.
Hagit Shatkay, Queen’s University, Canada
Padmini Srinivasan, University of Iowa, U.S.A.
Alfonso Valencia, Spanish National Cancer Research Centre, Spain
Slobodan Vucetic, Temple University, U.S.A.
Jason T. L. Wang, New Jersey Institute of Technology, U.S.A.
Brook Wu, New Jersey Institute of Technology, U.S.A.