Call for Abstracts for the Scientific Literature Knowledge Bases (SLKB) Workshop at AKBC https://sites.google.com/view/akbc-sci/home
Abstract submission deadline: April 07, 2019, 11:59pm EST Workshop: May 22, 2019, 8:30am - 12pm at U. Mass Amherst, MA, USA We are soliciting 1-page abstracts for the Scientific Literature Knowledge Bases (SLKB) Workshop at the Automated Knowledge Base Construction (AKBC) conference. Submissions may include previously published results, late-breaking results, work in progress, datasets, among other types of scholarly work. All relevant abstracts will be accepted for a short oral presentation at the workshop in spotlight format. The submitted abstracts will be available for download on the workshop website upon request. To submit an abstract, please send an email to mailto:slkb-akbc-2...@googlegroups.com with the subject line "SLKB submission: [TITLE]". Please see further details on the website. Knowledge bases provide a natural representation for scientific hypotheses in many domains. Manually curated ontologies and knowledge graphs are central to many scientific processes in domains such as biomedical research. The existing knowledge bases cover just a small fraction of the findings that are reported in the scientific literature. Automatic and semi-automatic approaches offer a means to accelerate the development of these resources. This half-day workshop will focus on the development and use of knowledge bases which capture important findings found in the scientific literature. The primary goal of the workshop is to bring together researchers from the diverse fields who are interested in the development of Scientific Literature KBs. The workshop will feature presentations from several experienced researchers actively working in this area, as well as an interactive panel discussion to explore synergies between diverse applications and identify key open challenges. The workshop will immediately follow the Automated Knowledge Base Construction (AKBC) conference, to be held May 20-21, 2019 at U Mass Amherst. Confirmed speakers are: * Dina Demner-Fushman, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health (NIH) * Julia Lane, Professor, Wagner School and Center for Urban Science and Progress, New York University (NYU) * Iris Shen, Principal Data Scientist, Microsoft Research Redmond * Lucy Lu Wang, Department of Biomedical Informatics and Medical Education at the University of Washington We look forward to receiving your submission! Organizers: Waleed Ammar, Allen Institute for Artificial Intelligence and University of Washington (Seattle, USA) Keith Hall, Google Research Zach Ives, University of Pennsylvania (USA) Hoifung Poon, Microsoft Research Karin Verspoor, University of Melbourne (Australia) https://sites.google.com/view/akbc-sci/home _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
