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Apologies for cross posting
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The First International
Workshop on the role of Semantic Web in Literature-Based Discovery
http://knoesis.org/swlbd2012/
(SWLBD 2012)
in conjunction with
The IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012)
http://www.ischool.drexel.edu/ieeebibm/bibm12/
October 4-7, 2012, Philadelphia PA, USA
Call
For Papers
Literature-Based
Discovery (LBD) is characterized by uncovering hidden but novel information
implicit in non-interacting literatures. The notion of LBD was first proposed
by Don R. Swanson over two decades ago when he postulated that two concepts (A,
C) may be logically related through some intermediate concept (B), common to
seemingly disjoint literatures. This seminal idea has largely influenced
efforts towards LBD automation in the biomedical domain and LBD continues to be
an integral part of the evolution of biomedical science. Primarily, LBD has
been instrumental in supplementing and guiding scientific experiments that lead
to innovations in diagnosis, treatment and preventions mechanisms.
Much of
the early LBD research however, relied almost entirely on Information Retrieval
(IR) techniques, such as term and concept co-occurrence, to uncover unknown
associations in the large volume of scientific literature now publicly
available. Only recently has significant attention been devoted to
semantics-based techniques that leverage Semantic Web technologies to exploit
the meaning of associations between concepts to facilitate LBD. While generally
more intuitive than IR techniques, the feasibility of semantics-based
approaches has not been fully demonstrated. Many challenges still exist. Some
of these include:
-
Fine-grained extraction
of semantic information (called semantic
predications) from text corpora
- Extraction and
identification of meaningful (semantic) associations between concepts. Such
associations are typically represented by paths in large data graphs.
-
Achieving scalability
given the combinatorial explosion that arises when traversing large graphs. The
overwhelming number of edges between concepts increases the complexity of graph
traversal and compounds the difficulty of finding relevant associations.
- Developing techniques
for clustering, aggregating, and analyzing extracted semantic associations for
sense making, question answering and ultimately LBD.
- The semantic integration
of information expressed in text corpora with background knowledge.
By
engaging researchers from both the Semantic Web and LBD communities, we
anticipate an exchange that will facilitate the advancement of LBD by exploiting
available Semantic Web resources. Researchers are encouraged to submit original
manuscripts on the application of Semantic Web technologies, representations
and techniques to Literature-Based Discovery.
Some
specific research topics include (but are not limited to):
- Extraction
of Semantic Information from text corpora.
- Semantic
Models and Representations for LBD.
- Semantic
Association Identification and Extraction methods from large data graphs.
- Semantic
Association Clustering, Aggregation and Analysis (i.e., Subgraph Creation)
for LBD.
- Semantic
Integration of Scientific Literature and Background Knowledge.
Steering
Committee:
Amit
P. Sheth, Kno.e.sis
Center, Wright State University, amit <at> knoesis.org
Olivier
Bodenreider, National
Library of Medicine, NLM, olivier <at> nlm.nih.gov
Program
Co-Chairs:
Thomas C. Rindflesch, National Library of
Medicine, NLM, tcr <at> nlm.nih.gov
Neil R. Smalheiser, University of Illinois at Chicago, neils <at> uic.edu
Delroy Cameron,
Kno.e.sis Center, Wright State University, delroy <at> knoesis.org
Program
Committee
Varun Bhagwan, IBM Research
Peter Bruza, Queensland University of
Technology, Australia
Marcelo Fiszman, National Library of
Medicine, NLM
Dimitar Hristovski, University of
Ljubljana, Slovenia
Ramakanth Kavuluru, University of Kentucky
Halil Kilicoglu, Concordia University
Cartic Ramakrishnan, ISI, University of
Southern California
Padmini Srinivasan, University of Iowa
Krishnaprasad Thirunarayan, Wright State
University
Invited Talk
Dr. Trevor Cohen, University of Texas, Houston
Paper
Submission:
The workshop will solicit the submission of
original research papers (4-6 pages) addressing analytical, theoretical and/or
practical aspects of the role of Semantic Web techniques and technologies in
Literature-based Discovery.
Online
Submissions:
Electronic submissions (in PDF or Postscript
format) are required. Selected participants will be asked to submit their
revised papers in a format to be specified at the time of acceptance. Please
make submissions using the online submission system:
http://wi-lab.com/cyberchair/2012/bibm12/cbc_index.html
Important
Dates:
Due
date for full workshop papers submission: July 30, 2012
Notification of paper acceptance to authors: August 20, 2012
Camera-ready version of accepted papers: September 4, 2012
Workshops: October 4-7, 2012
--
- cheers
Delroy
http://knoesis.wright.edu/researchers/delroy/
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