Invited Talk: Dr. Jennifer d'Souza - "Semantic Publishing of Scientific Contributions in the Open Research Knowledge Graph"

We like to invite you to our upcoming invited talk by Dr. Jennifer d'Souza from Leibniz Information Centre for Science and Technology. The talk will take place on Thursday, April 20, 2023 at 16:00, as part of our graduate seminar in Room 1630 at Appelstraße 9A:

Speaker

Dr. Jennifer D'Souza

Leibniz Information Centre for Science and Technology University Library

https://www.tib.eu/en/research-development/research-groups-and-labs/data-science-digital-libraries/staff/jennifer-dsouza

Time and location

April 20, 16:00, 3408-1630 (Appelstr. 9A)

Title

Semantic Publishing of Scientific Contributions in the Open Research Knowledge Graph

Abstract

The transfer of knowledge has not changed fundamentally for many hundreds of years: It is usually document-based - formerly printed on paper as a classic essay and nowadays as PDF. With around 2.5 million new research contributions every year, researchers drown in a flood of pseudo-digitized PDF publications. As a result research is seriously weakened. In this talk, we argue for representing scholarly contributions in a structured and semantic way as a knowledge graph. The advantage is that information represented in a knowledge graph is readable by machines and humans. As an example, we give an overview on the Open Research Knowledge Graph (ORKG), a service implementing this approach. For creating the knowledge graph representation, we rely on a mixture of manual (crowd/expert sourcing) and (semi-)automated techniques. Only with such a combination of human and machine intelligence, we can achieve the required quality of the representation to allow for novel exploration and assistance services for researchers. As a result, a scholarly knowledge graph such as the ORKG can be used to give a condensed overview on the state-of-the-art addressing a particular research quest, for example as a tabular comparison of contributions according to various characteristics of the approaches. Further possible intuitive access interfaces to such scholarly knowledge graphs include domain-specific (chart) visualizations or answering of natural language questions.

External participants (i.e. neither students nor employees of LUH) are kindly requested to send a short, informal email to office@ai.uni-hannover.de to register.