30 citations · 75 across the 17 of their papers we have counts for
22 papers
SWARM-SLR AIssistant: A Unified Framework for Scalable Systematic Literature Review Automation
Tim Wittenborg, Allard Oelen, Manuel Prinz
Despite a growing ecosystem of tools supporting Systematic Literature Reviews (SLRs), integrating them into user-friendly workflows remains challenging. The Streamlined Workflow fo…
Towards AI-Supported Research: a Vision of the TIB AIssistant
Sören Auer, Allard Oelen, Mohamad Yaser Jaradeh +9
The rapid advancements in Generative AI and Large Language Models promise to transform the way research is conducted, potentially offering unprecedented opportunities to augment sc…
TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cycles
Allard Oelen, Sören Auer
The rapidly growing popularity of adopting Artificial Intelligence (AI), and specifically Large Language Models (LLMs), is having a widespread impact throughout society, including…
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 (…
Charting the Future of Scholarly Knowledge with AI: A Community Perspective
Azanzi Jiomekong, Hande Küçük McGinty, Keith G. Mills +13
Despite the growing availability of tools designed to support scholarly knowledge extraction and organization, many researchers still rely on manual methods, sometimes due to unfam…
Research Knowledge Graphs in NFDI4DataScience: Key Activities, Achievements, and Future Directions
Kanishka Silva, Marcel R. Ackermann, Heike Fliegl +10
As research in Artificial Intelligence and Data Science continues to grow in volume and complexity, it becomes increasingly difficult to ensure transparency, reproducibility, and d…
Leveraging Large Language Models for Realizing Truly Intelligent User Interfaces
Allard Oelen, Sören Auer
The number of published scholarly articles is growing at a significant rate, making scholarly knowledge organization increasingly important. Various approaches have been proposed t…
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…
Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization
Gollam Rabby, Sören Auer, Jennifer D'Souza +1
The increasing amount of published scholarly articles, exceeding 2.5 million yearly, raises the challenge for researchers in following scientific progress. Integrating the contribu…
Rosetta Statements: Simplifying FAIR Knowledge Graph Construction with a User-Centered Approach
Lars Vogt, Kheir Eddine Farfar, Pallavi Karanth +4
Machines need data and metadata to be machine-actionable and FAIR (findable, accessible, interoperable, reusable) to manage increasing data volumes. Knowledge graphs and ontologies…
Rethinking the production and publication of machine-reusable expressions of research findings
Markus Stocker, Lauren Snyder, Matthew Anfuso +6
Literature is the primary expression of scientific knowledge and an important source of research data. However, scientific knowledge expressed in narrative text documents is not in…
Toward FAIR Semantic Publishing of Research Dataset Metadata in the Open Research Knowledge Graph
Raia Abu Ahmad, Jennifer D'Souza, Matthäus Zloch +5
Search engines these days can serve datasets as search results. Datasets get picked up by search technologies based on structured descriptions on their official web pages, informed…
An Approach to Evaluate User Interfaces in a Scholarly Knowledge Communication Domain
Denis Obrezkov, Allard Oelen, Sören Auer
The amount of research articles produced every day is overwhelming: scholarly knowledge is getting harder to communicate and easier to get lost. A possible solution is to represent…
A Next-Generation Digital Procurement Workspace Focusing on Information Integration, Automation, Analytics, and Sustainability
Jan-David Stütz, Oliver Karras, Allard Oelen +1
Recent events such as wars, sanctions, pandemics, and climate change have shown the importance of proper supply network management. A key step in managing supply networks is procur…
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…
Open Research Knowledge Graph:A System Walkthrough
Mohamad Yaser Jaradeh, Allard Oelen, Manuel Prinz +2
Despite improved digital access to scholarly literature in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely docum…
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 Representation of Review Articles
Allard Oelen, Markus Stocker, Sören Auer
Review articles are a means to structure state-of-the-art literature and to organize the growing number of scholarly publications. However, review articles are suffering from numer…
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…