- From: Daniel Garijo <dgarijo@isi.edu>
- Date: Thu, 28 Sep 2017 15:46:31 -0700
- To: "semantic-web@w3.org Web" <semantic-web@w3.org>, k-cap@mailman.isi.edu, is-geo@mailman.isi.edu
- Message-ID: <CAExK0DfmHKT+krXCu29PnsxiWj4ArG+hu_pXDr7xDkoAmWJsmw@mail.gmail.com>
Join us at the Second International Workshop on Capturing Scientific Knowledge, in conjunction with the 9th conference on Knowledge Capture (K-CAP 2017) December 4-6, 2017 Austin, TX, USA Workshop page: https://sciknow.github.io/sciknow2017 IMPORTANT DATES - Submission deadline: *October 7th, 2017 (last extension) * - Author notification: October 14th, 2017 - Workshop: December 4, 2017 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: - 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. - What are effective approaches that enable open sharing, dissemination, and reuse of scientific knowledge? Submissions can be made in the following categories: - Report papers: Overviews or summaries of past work on approaches to represent and capture scientific knowledge. - Research papers: Novel results of research on scientific knowledge representation or capture. - Position papers: Discussion on issues concerning the representation, capture, and dissemination of scientific knowledge, particularly to facilitate cross-disciplinary integrative science. - Challenge papers: Specific scenarios that describe the benefits to science if the limitations identified are overcome. Submissions should be *up to 6 pages* and in the format of the ACM SIG Proceedings template: http://www.acm.org/sigs/public ations/proceedings-templates. However, SciKnow 2017 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 emailed to *sciknow2017@gmail.com <sciknow2017@gmail.com>*. Accepted papers will be made available on the workshop site https://sciknow ..github.io/sciknow2017/, and published on the conference proceedings. Workshop Chairs: - Daniel Garijo, University of Southern California - Martine de Vos, Netherlands eScience center
Received on Monday, 2 October 2017 09:07:00 UTC