A new wave of knowledge technologies is sparking innovation in eScience, including the emergence of large knowledge graphs created from text extraction and crowdsourcing, the rise of Wikidata as a nexus for core entities and resources in science, the proposed open knowledge networks of scientific content that include provenance and natural interfaces, and the advent of web-scale semantic dataset search using standard schemas. Given that semantics and ontologies have enabled many scientific advances, these new knowledge technologies offer exciting possibilities that will be discussed at this workshop.
There is also renewed interest in semantics and metadata to support the FAIR principles (findability, accessibility, interoperability, and reusability). Although most of the work has focused on FAIR data, there are many other scientific resources that need to be considered and appropriate metadata developed to support FAIR principles. This includes software, workflows, sensors and instruments, and other scientific research products. Moreover, FAIR principles would be better supported with interlinked scientific resources that connect data, software, people, results, papers, and all other research products as a network of interrelated entities.
This workshop will offer a forum to exchange ideas about advanced knowledge technologies for eScience. Topics of interest include:
In addition to traditional workshop submissions that focus on reporting novel research, we encourage the submission of vision papers that reimagine science through the use of emerging knowledge technologies, discuss challenges in adoption of these technologies, or put forward novel ideas for reconsidering FAIR principles in light of new knowledge approaches.
The workshop will include two 1-hr sessions with presentations of research papers, two 1-hr panels, a 1-hr session for vision papers, and a 1-hr session for an invited talk.
|8:30-9:00||Welcome and workshop overview (Yolanda Gil)|
Research paper presentations (I)
Describing datasets in WikidataDenny Vrandecic
WDPlus: Leveraging Wikidata to Link and Extend Tabular DataDaniel Garijo and Pedro Szekely
Wikidata as a Community Curation Platform for Ontology DevelopmentGregory S. Stupp, Andra Waagmeester, Sebastian Burgstaller-Muehlbacher, Núria Queralt-Rosinach, Lynn M. Schriml and Andrew I. Su
Research paper presentations (II)
A FAIR Resource Information NetworkJeffrey S. Grethe, Ko-Wei Lin, Xiaohui “Vicky” Guo, James Go, I. Burak Ozyurt, Anita Bandrowski, Maryann E. Martone
Making Data FAIR Requires More Than Just Principles: We Need Knowledge TechnologiesMark A. Musen
Creating a FAIR Data Catalog to Support Scientific ModelingBasel Shbita, Binh Vu, Dan Feldman, Minh Pham, Arunkumar Rajendran, Craig Knoblock, Jay Pujara, and Yao-Yi Chiang
Bioschemas: exploiting schema.org for FAIRer Life Sciences resourcesCarole Goble
Research paper presentations (III)
Increasing the findability of datasets withSchema.org annotationsKrzysztof J. Gorgolewski
Challenges in Software Usability: Towards Computational Knowledge NetworksDaniel Garijo
Research paper presentations (IV)
Iterative Document Retrieval via Deep Learning Approaches for Biomedical Question AnsweringIbrahim Burak Ozyurt and Jeffery S. Grethe
Incorporating New Concepts into the Scientific Variables OntologyMaria Stoica and Scott D. Peckham
Ontology-Powered Automatic Labeling of Earth Science ArticlesJia Zhang, Ming shuai Zhang, Rahul Ramachandran, Derek Koehl, Jeffrey J. Miller, Andrea Word and Tsengdar J. Lee
Panel and discussion
Mark Musen, Natasha Noy, Denny Vrandecic, Pedro Szekely
|4:45-5:00||Summary and wrap up (Andrew Su)|
We accept submissions in the following formats
Submissions can be as short as a 1-page abstract and should be at most 6 pages, using the IEEE eScience conference format. Submissions should be sent by email to email@example.com
|July 20||Submissions due|
|July 25||Notifications sent to authors|
|August 31||Final electronic version of papers due|
|September 24||Workshop held at eScience 2019|