Call for papers for Sepublica 2014 (May 25th afternoon session), an
ESWC workshop.
http://sepublica.info
Dates:

Submission Deadline: March 23, 2014

Acceptance Notification: April 5, 2014

Camera-Ready: April 15, 2014


Semantic publishing should be central to the openness that has been
embraced by scholarly
communication, e-science, data journalism, e-government and across
many other domains. This openness implies deep changes in making the
semantics of the data available for integration, consumption and
analysis. Researchers are moving from a purely narrative based
communication into a narrative supported by data; this support will be
enhanced by semantic descriptions. Such a shift makes an impact on all
layers of scholarly publishing;  data needs to be archived and kept
readily available and interoperable. Scholars across many disciplines
are involved in an important shift in their communication practices;
reproducibility, smart data storage, intelligent use of the Web as a
platform and not solely as a dissemination channel, business
intelligence for e-science content and many others are currently a
matter of debate in the academic community. Experimental data in
scientific disciplines is a Big Data problem; how can we make
effective use of scientific data, how should it be semantically
represented, interlinked, reused, how can experiments in scientific
publications be represented effectively? How can the gap between
publications and data repositories be bridged?


We are interested, but not limited to, in addressing issues such as:

 How could we realize a paper with an API?  How could we have a paper
as a database, as a knowledge base?

○      How is the paper an interface, gateway, to the web of data? How
could such an interface be delivered in a contextual manner?

○      How are news agencies adopting technologies in support of their
publications? Has the delivered technology been adopted? What are the
experiences from news agencies been so far? Lessons learnt.

○      How could RDF(a) and ontologies be used to represent the
knowledge encoded in scientific documents and in general-interest
media publications?

○      Connecting scientific publications with underlying research data sets

○      Shouldn't we move from the bibliographic reference to the full
content within a linked environment?

○      Ontology-based visualization of scientific data

○      Provenance, quality, privacy and trust of scientific information

○      Linked Data for dissemination and archiving of research
results, for collaboration and research networks, and for research
assessment

○      Formal representations of scientific data; ontologies for
scientific information

○      What ontologies do we need for representing structural elements
in a document?

○      How can we capture the semantics of rhetorical structures in
scholarly communication, and of hypotheses and scientific evidence?

○      Integration of quantitative and qualitative scientific information

○      Case studies on linked science, i.e., astronomy, biology,
environmental and socio-economic impacts of global warming,
statistics, environmental monitoring, cultural heritage, etc.


Submission

 https://www.easychair.org/conferences/?conf=sepublica2014


Research papers are limited to 12 pages and position papers to 5 pages.
For system/demo descriptions, a paper of minimum 2 pages, maximum 5
pages should be submitted.
Late-breaking news should be one page maximum; the deadline for late
breaking news is the 5th of April.

All papers and system descriptions should be formatted according to
the LNCS format. For submissions that are not in the LNCS PDF format,
400 words count as one page. Submissions that exceed the page limit
will be in risk of being rejected

-- 
Alexander Garcia
http://www.alexandergarcia.name/
http://www.usefilm.com/photographer/75943.html
http://www.linkedin.com/in/alexgarciac

------------------------------------------------------------------------------
Learn Graph Databases - Download FREE O'Reilly Book
"Graph Databases" is the definitive new guide to graph databases and their
applications. Written by three acclaimed leaders in the field,
this first edition is now available. Download your free book today!
http://p.sf.net/sfu/13534_NeoTech
_______________________________________________
Dbpedia-discussion mailing list
Dbpedia-discussion@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion

Reply via email to