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Third [CFP]: SWLBD2012: 1st Intl Workshop on Semantic Web in Literature-Based Discovery

From: Delroy Cameron <delroy@knoesis.org>
Date: Thu, 14 Jun 2012 08:14:53 -0700
Message-ID: <CAHBs5woXhSYgJcJ7i9e+hCJsRebNB_ysU_MEDcQZK0+nL5jj3w@mail.gmail.com>
To: semantic-web@w3.org, public-semweb-lifesci@w3.org, bionlp@lists.ccs.neu.edu

Apologies for cross posting



*The First International Workshop on the role of Semantic Web in
Literature-Based Discovery *

*(SWLBD 2012)* *
**http://knoesis.org/swlbd2012/* <http://knoesis.org/swlbd2012/>* *

in conjunction with

The IEEE International Conference on Bioinformatics and Biomedicine (BIBM
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):

   1. Extraction of Semantic Information from text corpora.
   2. Semantic Models and Representations for LBD.
   3. Semantic Association Identification and Extraction methods from large
   data graphs.
   4. Semantic Association Clustering, Aggregation and Analysis (i.e.,
   Subgraph Creation) for LBD.
   5. Semantic Integration of Scientific Literature and Background


*Steering Committee*

Amit P. Sheth <http://knoesis.org/amit>, Kno.e.sis Center, Wright State
University, amit@knoesis.org

Olivier Bodenreider <http://mor.nlm.nih.gov/>, National Library of
Medicine, NLM, olivier@nlm.nih.gov

* *

*Program Co-Chairs*

Thomas C. Rindflesch<http://lhncbc.nlm.nih.gov/cgsb/staff/rindflesch_thomas/>,
National Library of Medicine, NLM, tcr@nlm.nih.gov

Neil R. Smalheiser<http://www.psych.uic.edu/index.php?option=com_content&view=article&id=416%3Aneil-r-smalheiser&catid=54&Itemid=689>,
University of Illinois at Chicago, neils@uic.edu

Delroy Cameron <http://knoesis.wright.edu/researchers/delroy>, Kno.e.sis
Center, Wright State University, delroy@knoesis.org

*Program Committee*

Varun Bhagwan, IBM Research

Peter Bruza, Queensland University of Technology, Australia

Gully Burns, ISI, University of Southern California

Marcelo Fiszman, National Library of Medicine, NLM

Dimitar Hristovski, University of Ljubljana, Slovenia

Ramakanth Kavuluru, University of Kentucky

Halil Kilicoglu, Concordia University

Feifan Liu, University of Wisconsin-Milwaukee

Erik van Mulligen, ErasmusMC University Rotterdam, Netherlands

Cartic Ramakrishnan, ISI, University of Southern California

Padmini Srinivasan, University of Iowa

Krishnaprasad Thirunarayan, Wright State University

Bartlomiej Wilkowski, Statens Serum Institut, Copenhagen, Denmark

Meliha Yetisgen-Yildiz, University of Washington

*Invited Talk*

Dr. Trevor Cohen <http://www.sahs.uth.tmc.edu/tcohen/>, 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

*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:

*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
Received on Thursday, 14 June 2012 15:15:32 UTC

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