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Related Concept Videos

Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null hypothesis and 'fail to...
Anatomical Terminology01:20

Anatomical Terminology

Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
Language and Cognition01:27

Language and Cognition

Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
Qualitative Analysis01:10

Qualitative Analysis

Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
Qualitative Analysis03:46

Qualitative Analysis

For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint Vincent in...

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Related Experiment Video

Updated: May 26, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Hootation: A GUI and API library for ontology validation and verbalization.

Muhammad Amith1, Xubing Hao2, Warren Manuel3

  • 1Department of Biostatistics and Data Science, Department of Internal Medicine, The University of Texas Medical Branch, Galveston, USA.

Proceedings. IEEE International Conference on Semantic Computing
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

Hootation, an open-source tool, translates formal ontology axioms into natural language, aiding experts in validation. It uses rule-based translation and Large Language Models (LLMs), achieving high usability scores.

Keywords:
Large Language ModelsNLGNatural language processingOntologyOntology Quality AuditingSoftwareUsability

Related Experiment Videos

Last Updated: May 26, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Area of Science:

  • Knowledge Representation and Reasoning
  • Computational Linguistics
  • Software Engineering

Background:

  • Ontology verbalization is crucial for subject matter expert review of formal ontologies.
  • Existing methods like templates and controlled grammar have limitations in scalability and adaptability.
  • There is a need for user-friendly tools to bridge the gap between formal ontologies and natural language understanding.

Purpose of the Study:

  • To develop and evaluate Hootation, an open-source software system for ontology verbalization.
  • To provide a practical and adaptable solution for translating OWL2 axioms into natural language.
  • To enhance the usability and accessibility of ontology content for domain experts.

Main Methods:

  • Developed Hootation, featuring a graphical user interface and API library.
  • Implemented rule-based translation of OWL2 axioms.
  • Integrated optional Large Language Model (LLM) components for refinement and fact-checking.
  • Enabled export of results in CSV and Excel formats for review.

Main Results:

  • Hootation supports ontology verbalization via GUI and API.
  • The system integrates rule-based translation with optional LLM components.
  • Usability evaluation yielded an average System Usability Scale (SUS) score of 78.89 (SD = 10.39).
  • The SUS score was significantly higher than the benchmark of 68 (p = 0.014), indicating good usability.

Conclusions:

  • Hootation offers a practical and user-friendly environment for ontology validation and exploration.
  • The tool effectively supports ontology engineers and domain experts in understanding complex ontologies.
  • The integration of LLMs shows promise for refining and fact-checking verbalized ontologies.