[CfP] [Deadline Extension] Third International Workshop on Capturing Scientific Knowledge (co-located with K-CAP 2019)

Due to several requests, we have extended the deadline for SciKnow until 
October 6th. We are looking forward to discussing your contributions at 
K-CAP2019!
Third International Workshop on Capturing Scientific Knowledge,
in conjunction with the 10th conference on Knowledge Capture (K-CAP 2019)
*November 19-21, 2019*
Marina del Rey, Los Angeles, USA
Workshop page: https://sciknow.github.io/sciknow2019 
<https://sciknow.github.io/sciknow2019>
IMPORTANT DATES
 Submission deadline (*final extension!*): *October 6, 2019. *
 Author notification: October 18, 2019.
 Workshop: November 19, 2019.
CALL FOR PAPERS
 From the early days of Artificial Intelligence, researchers have been 
interested in capturing scientific knowledge to develop intelligent 
systems. There are a variety of formalisms used today in different areas 
of science. Ontologies are widely used for organizing knowledge, 
particularly in biology and medicine. Process representations are used 
to do qualitative reasoning in areas such as physics and chemistry. 
Probabilistic graphical models are used by machine learning researchers, 
e.g., in climate modeling.
In addition to enabling more advanced capabilities for intelligent 
systems in science, capturing scientific knowledge enables knowledge 
dissemination and open science practices. This is increasingly more 
important to enable the reuse of scientific knowledge across scientific 
disciplines, businesses and the public.
Although great advances have been made, scientific knowledge is complex 
and poses great challenges for knowledge capture. This workshop will 
provide a forum to discuss existing forms of scientific knowledge 
representation and existing systems that use them, and to envision major 
areas to augment and expand this important field of research.
The increasing emphasis in open science has had a major focus on data 
sharing but it needs to encompass knowledge as well. There are many 
research challenges in open sharing and reuse of scientific knowledge 
that need to be addressed in future research.
SUBMISSIONS
Major topics of interest for this workshop include:
 * Capture of scientific knowledge:
 o Successful knowledge capture and representation formalisms are
 used in a variety of scientific domains, what are their key
 features and merits?
 o Scientific knowledge is inherently complex and requires
 significant effort to capture. What are effective approaches to
 model and to acquire scientific knowledge?
 * Representation of scientific knowledge:
 o Given the variety of representation formalisms for scientific
 knowledge, how can they be combined to enable more advanced
 capabilities?
 o What approaches can support the uncertainty and evolution
 inherent in scientific models?
 * (Re)use of scientific knowledge:
 o Imagine what scientific breakthroughs might be enabled with
 improved representational schema of existing scientific
 knowledge, and of course the subsequent capture of additional
 scientific knowledge.
 o What are effective approaches that enable open sharing,
 dissemination, and reuse of scientific knowledge?
Submissions can be made in the following categories:
 * Report papers (up to 6 pages): Overviews or summaries of past work
 on approaches to represent and capture scientific knowledge.
 * Research papers (up to 6 pages): Novel results of research on
 scientific knowledge representation or capture.
 * Position papers (up to 4 pages): Discussion on issues concerning the
 representation, capture, and dissemination of scientific knowledge,
 particularly to facilitate cross-disciplinary integrative science.
 * Challenge papers (up to 4 pages): Specific scenarios that describe
 the benefits to science if the limitations identified are overcome.
Submissions should follow the Standard ACM SIG Conference Proceedings 
template: https://www.acm.org/publications/proceedings-template 
<https://www.acm.org/publications/proceedings-template>. However, 
SciKnow 2019 *explicitly welcomes alternative and enhanced submission 
formats, such as HTML submissions*. Authors who are preparing such a 
submission should contact the workshop organizers in advance to make 
sure we can accommodate for them in the submission and review process.
Submissions should be managed through Easychair 
(https://easychair.org/conferences/?conf=sciknow2019 
<https://easychair.org/conferences/?conf=sciknow2019>)
. At least one author of each accepted paper is expected to attend the 
workshop.
Accepted papers will be published with the CEUR Workshop Proceedings 
(CEUR-WS.org), listed by DBLP.
Workshop Chairs:
 Daniel Garijo, Information Sciences Institute, University of Southern 
California
 Milan Markovic, University of Aberdeen
 Paul Groth, University of Amsterdam
 Idafen Santana, Instituto Canario de Estadistica
 Khalid Belhajjame, University Paris-Dauphine