2 citations · 4 across the 5 of their papers we have counts for
5 papers
Introducing ORKG ASK: an AI-driven Scholarly Literature Search and Exploration System Taking a Neuro-Symbolic Approach
Allard Oelen, Mohamad Yaser Jaradeh, Sören Auer
As the volume of published scholarly literature continues to grow, finding relevant literature becomes increasingly difficult. With the rise of generative Artificial Intelligence (…
ORKG ASK: a Neuro-symbolic Scholarly Search and Exploration System
Allard Oelen, Mohamad Yaser Jaradeh, Sören Auer
Purpose: Finding scholarly articles is a time-consuming and cumbersome activity, yet crucial for conducting science. Due to the growing number of scholarly articles, new scholarly…
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker +2
In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed. Albeit effective, these efforts are disjoint, and their collective stren…
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…
Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs
Jan Portisch, Omaima Fallatah, Sebastian Neumaier +2
Open Government Data (OGD) is being published by various public administration organizations around the globe. Within the metadata of OGD data catalogs, the publishing organization…