8 citations · 11 across the 4 of their papers we have counts for
6 papers
KGMM -- A Maturity Model for Scholarly Knowledge Graphs based on Intertwined Human-Machine Collaboration
Hassan Hussein, Allard Oelen, Oliver Karras +1
Knowledge Graphs (KG) have gained increasing importance in science, business and society in the last years. However, most knowledge graphs were either extracted or compiled from ex…
TinyGenius: Intertwining Natural Language Processing with Microtask Crowdsourcing for Scholarly Knowledge Graph Creation
Allard Oelen, Markus Stocker, Sören Auer
As the number of published scholarly articles grows steadily each year, new methods are needed to organize scholarly knowledge so that it can be more efficiently discovered and use…
SmartReviews: Towards Human- and Machine-actionable Reviews
Allard Oelen, Markus Stocker, Sören Auer
Review articles summarize state-of-the-art work and provide a means to organize the growing number of scholarly publications. However, the current review method and publication mec…
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
Creating a Scholarly Knowledge Graph from Survey Article Tables
Allard Oelen, Markus Stocker, Sören Auer
Due to the lack of structure, scholarly knowledge remains hardly accessible for machines. Scholarly knowledge graphs have been proposed as a solution. Creating such a knowledge gra…
Generate FAIR Literature Surveys with Scholarly Knowledge Graphs
A. Oelen, M. Y. Jaradeh, M. Stocker +1
Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging a scholarly knowledge graph, we present a methodology and a system for…