Approaches and Architectures for Web Data Integration and Mining in Life Sciences (WebDIM4LS)
December 3, 2007 Nancy, France
Today, nobody can contest that the amount and complexity of scientific
data are increasing exponentially. In life sciences, the unique
conjunction of complexity, size and importance of available data
deserves special attention in both Web Information Systems (WIS) and
data integration and mining areas. In the last few years, WIS have
become the favourite mean for offering open access to biological data.
Hundreds of data sources (DBs with either user or program interface),
numerous web sites and peer-reviewed litterature are currently covering
multiple facets of biology (genomic sequences, protein structures,
pathways, transcriptomics data, etc.).
This workshop is intended to bring together researchers and practitioners from the mentioned areas and to act as a platform for discussing experiences and visions about web technologies, methodologies and applications for data integration and mining in life sciences.
Topics covered by the workshop include at least:
Submitted papers will be evaluated by at least two reviewers on the basis of significance, originality, technical quality and should clearly establish the research contribution. Papers addressing one or more of the listed topics but in another application domain than life sciences are welcome if the authors convincingly argue the interest of the described work for life sciences. Position and survey papers are also welcome.
The ISIBio project (French ministerium ACI IMPBio) whishes to contribute to the workshop by funding an invited speaker and travel expenses for selected PhD students having an accepted paper.
Abstract submission : as soon as possible
Original papers covering one or more topics are solicited (not execeeding 12 pages in LNCS format). To facilitate the reviewing process, authors are requested to express their intent to submit a paper in the form of an abstract (about 200 words).
The proceedings of WISE 2007 workshops will be published in a Springer LNCS volume. Papers should be prepared according to the Springer Lecturer Notes in Computer Science format (formatting instructions can be found here ), and have a maximum of Twelve (12) pages.
Submissions should include an abstract, key words, the e-mail address and other contact details of the author(s), phone.
All submissions should be made in PDF or MS Word format as email attachment to the workshop chairs under the subject "WISE2007 Workshop Submission".