Scholarly knowledge graphs through structuring scholarly communication: a review
The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …
academic literature and its linkages to authors produce enormously. Information extraction …
Generate FAIR literature surveys with scholarly knowledge graphs
Reviewing scientific literature is a cumbersome, time consuming but crucial activity in
research. Leveraging a scholarly knowledge graph, we present a methodology and a …
research. Leveraging a scholarly knowledge graph, we present a methodology and a …
Ontologies supporting research-related information foraging using knowledge graphs: literature survey and holistic model mapping
We carried out a literature survey on ontologies dealing with the scholarly and research
domains, with a focus on modeling the knowledge graphs that would support information …
domains, with a focus on modeling the knowledge graphs that would support information …
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology
In this paper, we champion the use of structured and semantic content representation of
discourse-based scholarly communication, inspired by tools like Wikipedia infoboxes or …
discourse-based scholarly communication, inspired by tools like Wikipedia infoboxes or …
Constructing a high-quality dataset for automated creation of summaries of fundamental contributions of research articles
Research contributions, which indicate how a research paper contributes new knowledge or
new understanding in contrast to prior research on the topic, are the most valuable type of …
new understanding in contrast to prior research on the topic, are the most valuable type of …
Creating a scholarly knowledge graph from survey article tables
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 …
Scholarly knowledge graphs have been proposed as a solution. Creating such a knowledge …
An approach based on open research knowledge graph for knowledge acquisition from scientific papers
A Jiomekong, S Tiwari - The Electronic Library, 2024 - emerald.com
Purpose This paper aims to curate open research knowledge graph (ORKG) with papers
related to ontology learning and define an approach using ORKG as a computer-assisted …
related to ontology learning and define an approach using ORKG as a computer-assisted …
A scholarly knowledge graph-powered dashboard: Implementation and user evaluation
O Lezhnina, G Kismihók, M Prinz, M Stocker… - Frontiers in Research …, 2022 - frontiersin.org
Scholarly knowledge graphs provide researchers with a novel modality of information
retrieval, and their wider use in academia is beneficial for the digitalization of published …
retrieval, and their wider use in academia is beneficial for the digitalization of published …
Requirements analysis for an open research knowledge graph
Current science communication has a number of drawbacks and bottlenecks which have
been subject of discussion lately: Among others, the rising number of published articles …
been subject of discussion lately: Among others, the rising number of published articles …
Sentence, phrase, and triple annotations to build a knowledge graph of natural language processing contributions—a trial dataset
Purpose: This work aims to normalize the NLPCONTRIBUTIONS scheme (henceforward,
NLPCONTRIBUTIONGRAPH) to structure, directly from article sentences, the contributions …
NLPCONTRIBUTIONGRAPH) to structure, directly from article sentences, the contributions …