CS SEMINAR

The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data

Speaker
Michael Farber, Postdoctoral Researcher, Karlsruhe Institute of Technology
Chaired by
Dr KAN Min Yen, Associate Professor, School of Computing
kanmy@comp.nus.edu.sg

07 Nov 2019 Thursday, 10:00 AM to 10:45 AM

MR3, COM2-02-26

Abstract:

In this talk, I present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. By providing the data as RDF dump files as well as a data source in the Linked Open Data cloud with resolvable URIs and links to other data sources, I bring a vast amount of scholarly data to the Web of Data. Furthermore, I provide entity embeddings for all 210 million represented publications. I facilitate a number of use case scenarios, particularly in the field of digital libraries, such as (1) entity-centric exploration of papers, researchers, affiliations, etc.; (2) data integration tasks using RDF as a common data model and links to other data sources; and (3) data analysis and knowledge discovery of scholarly data.


Biodata:

Michael Farber is a postdoctoral researcher in Prof. Dr. York Sure-Vetter's Web Science group at the Institute AIFB of the Karlsruhe Institute of Technology (KIT), Germany, since April 2019. From 2017 until 2019, Michael worked in Prof. Dr. Georg Lausen's group at the University of Freiburg, Germany, and at Kyoto University, Japan, as JSPS fellow. From 2012 until 2017, Michael was a PhD student and research associate in Prof. Dr. Rudi Studer's group "Knowledge Management and Web Science" at the Institute AIFB of the Karlsruhe Institute of Technology (KIT), Germany. The title of his PhD thesis is "Semantic Search of Novel Information." Michael's research interests are in natural language processing, machine learning, and the semantic web. His current main focus is on scholarly data mining. Michael has served as reviewer and PC member for various conferences and journals. More information can be found at https://sites.google.com/view/michaelfaerber and https://scholar.google.de/citations?hl=en&user=Jb7JUOsAAAAJ