Toward Representing Research Contributions in Scholarly Knowledge Graphs Using Knowledge Graph Cells

Vogt, Lars; D’Souza, Jennifer; Stocker, Markus; Auer, Sören

doi:10.1145/3383583.3398530

Cited by 17 publications

(15 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Curcin et al [ 22 ] use a very similar approach for the provenance modelling in diagnostic decision support systems. A more flexible approach are Knowledge Graph Cells (KGCs) proposed by Vogt et al [ 23 ]. They provide a concept for the definition of knowledge structures.…”

Section: Related Workmentioning

confidence: 99%

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

et al. 2022

View full text Add to dashboard Cite

Background Electronic Laboratory Notebooks (ELNs) are used to document experiments and investigations in the wet-lab. Protocols in ELNs contain a detailed description of the conducted steps including the necessary information to understand the procedure and the raised research data as well as to reproduce the research investigation. The purpose of this study is to investigate whether such ELN protocols can be used to create semantic documentation of the provenance of research data by the use of ontologies and linked data methodologies. Methods Based on an ELN protocol of a biomedical wet-lab experiment, a retrospective provenance model of the raised research data describing the details of the experiment in a machine-interpretable way is manually engineered. Furthermore, an automated approach for knowledge acquisition from ELN protocols is derived from these results. This structure-based approach exploits the structure in the experiment’s description such as headings, tables, and links, to translate the ELN protocol into a semantic knowledge representation. To satisfy the Findable, Accessible, Interoperable, and Reuseable (FAIR) guiding principles, a ready-to-publish bundle is created that contains the research data together with their semantic documentation. Results While the manual modelling efforts serve as proof of concept by employing one protocol, the automated structure-based approach demonstrates the potential generalisation with seven ELN protocols. For each of those protocols, a ready-to-publish bundle is created and, by employing the SPARQL query language, it is illustrated that questions about the processes and the obtained research data can be answered. Conclusions The semantic documentation of research data obtained from the ELN protocols allows for the representation of the retrospective provenance of research data in a machine-interpretable way. Research Object Crate (RO-Crate) bundles including these models enable researchers to easily share the research data including the corresponding documentation, but also to search and relate the experiment to each other.

show abstract

Section: Related Workmentioning

confidence: 99%

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

et al. 2022

View full text Add to dashboard Cite

show abstract

“…One paper analyses the relationship between resource entities through modular semantic analysis and keyword extraction of digital course resources on the network, and finally draws a knowledge graph in this field [5], which implements a recommendation tool based on this specific knowledge graph, and we believe this study is very good at recommending related learning resources for novel learners. We believe this paper provides a new way of thinking for educators who study the knowledge graph for university curriculum system, and we will follow this thought and expand this idea with the actual implementation of knowledge graph [6].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Curriculum System Based on Knowledge Graph

Stahr

Chen

et al. 2021

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)

View full text Add to dashboard Cite

With the fact that the knowledge in each field in university is keeping increasing, the number of university courses is becoming larger, and the content and curriculum system is becoming much more complicated than it used to be, which bring many inconveniences to the course arrangement and analysis. In this paper, we aim to construct a method to visualize all courses based on Google Knowledge Graph. By analysing the properties of the courses and their preceding requirements, we want to extract the relationship between the precursors and the successors, so as to build the knowledge graph of the curriculum system. Using the graph database Neo4j [7] as the core aspect for data storage and display for our new curriculum system will be our approach to implement our knowledge graph. Based on this graph, the venation relationship between courses can be clearly analysed, and some difficult information can be obtained, which can help to combine the outline of courses and the need to quickly query the venation information of courses.

show abstract

“…• Integrate the crowd-and expert-sourcing authoring and curation model for cognitive knowledge graphs, based on the knowledge graph cells concept (Vogt et al 2020).…”

Section: Figurementioning

confidence: 99%

ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph

Auer¹,

Stocker²,

Vogt³

et al. 2021

RIO

Self Cite

View full text Add to dashboard Cite

This document is an edited version of the original funding proposal entitled 'ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph' that was submitted to the European Research Council (ERC) Proof of Concept (PoC) Grant in September 2020 (https://erc.europa.eu/funding/proof-concept). The proposal was evaluated by five reviewers and has been placed after the evaluations on the reserve list. The main document of the original proposal did not contain an abstract.

show abstract

Toward Representing Research Contributions in Scholarly Knowledge Graphs Using Knowledge Graph Cells

Cited by 17 publications

References 24 publications

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

Design and Implementation of Curriculum System Based on Knowledge Graph

ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph

Contact Info

Product

Resources

About