Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

13.3K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.3K
Strategies of Self-Presentation I: Strategic Self-Presentation01:12

Strategies of Self-Presentation I: Strategic Self-Presentation

26
Strategic self-presentation refers to individuals' intentional efforts to influence how others perceive them. This process is employed in various social and professional settings, such as job interviews, dating, politics, and legal contexts, where individuals seek to shape impressions to gain social or material advantages. While people generally present themselves in ways that align with their authentic characteristics, external factors, such as cognitive load, can hinder their ability to...
26
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.4K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.4K
Ethics in Research01:56

Ethics in Research

24.8K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
24.8K
Deindividuation00:57

Deindividuation

28.0K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
28.0K
Social Proof00:52

Social Proof

29.3K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
29.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Enhancing accessibility: Development and usability testing of mobile application mitigating sexual harassment for visually impaired masseurs.

Assistive technology : the official journal of RESNA·2024
Same author

Neural matrix factorization++ based recommendation system.

F1000Research·2024
Same author

Machine learning methods to predict particulate matter PM <sub>2.5</sub>.

F1000Research·2022
Same author

Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems.

F1000Research·2022
Same author

Improving the support for XML dynamic updates using a hybridization labeling scheme (ORD-GAP).

F1000Research·2022
Same author

Improving the data access control using blockchain for healthcare domain.

F1000Research·2021

Related Experiment Video

Updated: Oct 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

696

An empirical study on Resource Description Framework reification for trustworthiness in knowledge graphs.

Sini Govindapillai1, Lay-Ki Soon2, Su-Cheng Haw1

  • 1Faculty of Computing Informatics, Multimedia University, Cyberjaya, Selangor, 63100, Malaysia.

F1000Research
|December 15, 2021
PubMed
Summary
This summary is machine-generated.

Knowledge graphs (KGs) use RDF, but lack metadata for trustworthiness. This study analyzes Wikidata and YAGO4

Keywords:
Knowledge GraphRDF reificationWikidataYAGOprovenance data

More Related Videos

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K

Related Experiment Videos

Last Updated: Oct 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

696
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K

Area of Science:

  • Computer Science
  • Data Science
  • Information Science

Background:

  • Knowledge graphs (KGs) represent web knowledge using Resource Description Framework (RDF) triples.
  • Data quality in KGs is a concern due to potential errors, outdated, or conflicting information.
  • Metadata, such as source, location, and time, is crucial for enhancing fact trustworthiness and contextualization.

Purpose of the Study:

  • To provide an overview of prominent RDF reification approaches for metadata representation in KGs.
  • To analyze the representation and extent of provenance and context data in Wikidata and YAGO4.
  • To investigate how these popular KGs handle metadata for fact trustworthiness.

Main Methods:

  • Overview of prominent RDF reification techniques.
  • Analysis of metadata representation in Wikidata using qualifiers.
  • Analysis of metadata collection in YAGO4, leveraging Wikidata qualifiers.

Main Results:

  • Wikidata utilizes qualifiers to embed metadata into facts.
  • YAGO4 aggregates metadata primarily from Wikidata qualifiers.
  • Both Wikidata and YAGO4 allow fetching facts without reification, supporting applications not requiring metadata.

Conclusions:

  • RDF reification, while common, increases data size and doesn't always ensure metadata annotation.
  • Wikidata and YAGO4 offer distinct approaches to metadata integration, with YAGO4 building upon Wikidata's structure.
  • This research is the first to comparatively investigate the metadata handling methods and coverage in Wikidata and YAGO4.