Hasbi Alikunju and Anila Sulochana
The internet has evolved into an indispensable platform for seeking health information, particularly among transgender individuals. With an abundance of online resources…
Abstract
Purpose
The internet has evolved into an indispensable platform for seeking health information, particularly among transgender individuals. With an abundance of online resources available, extensive research into the credibility and reliability of this information is essential, as concerns about the quality of online resources persist. Transgender individuals are drawn to online health information due to the anonymity it offers, providing them with a sense of freedom from social isolation and the discomfort of experimenting with their transgender identity. However, it is crucial to assess the accuracy and reliability of the transgender health information available on the internet. This article aims to evaluate the quality of online transgender health resources by utilizing ten credibility indicators, along with six indicators to assess the veracity of the content.
Design/methodology/approach
A total of 179 online resources were meticulously reviewed after excluding any unnecessary and irrelevant ones, to ensure a comprehensive assessment.
Findings
The findings suggest that among the chosen resources, none of them meet all the criteria for maintaining high standards of accuracy and reliability in health information. In other words, none of these sources completely adhere to the established measures for ensuring that the information they provide is trustworthy and of high quality in the context of health.
Originality/value
The study provides valuable insights into the online realm of transgender health information, revealing both the strengths and weaknesses of the existing resources. By pinpointing areas that need enhancement and showcasing commendable practices, this research strives to promote a more knowledgeable and supportive online environment for individuals in search of transgender health information.
Details
Keywords
Devika Madalli, Anila Sulochana and Abhinav Kumar Singh
Matter is an important topic of science as a discipline since its inception. Nevertheless, along with the evolution of semantic web, matter has got equal importance among the…
Abstract
Purpose
Matter is an important topic of science as a discipline since its inception. Nevertheless, along with the evolution of semantic web, matter has got equal importance among the ontology developers. The current work describes an ontology of matter that the authors developed in the lab. The purpose of this paper is to come up with an exhaustive list of concepts and relations to cover matter domain under one umbrella, after identifying the gaps in the present ontologies.
Design/methodology/approach
Ontology was developed following faceted analytico-synthetic approach of knowledge organization. The authors followed hybrid developmental approach which includes top-down as well as bottom-up development strategy, for creating classes and subclasses. The authors modelled matter domain comprehensively considering different aspects of matter. The theories behind the modelling approach helps to maintain the consistency of further extensions.
Findings
Final ontology has around 280 concepts and as many as 60 properties which include both object property and datatype property.
Research limitations/implications
There exists very vague definition of concepts in different subject areas, as matter is a domain of study in physics, chemistry, material science, metallurgy, etc. Same material has been adopted differently depending upon purpose of its study/use in that field. For example aspirin is simply a chemical compound in chemistry, whereas in medicine it is also an agent.
Practical implications
Present work claims to influence the ontology engineers to develop more extension to this core ontology of matter (COMAT). Also this will find its use in information retrieval, semantic annotations and in several other semantic knowledge-based systems.
Originality/value
COMAT is the most recent work of the domain. Originality lies in the way matter domain has been looked up, from a very wide perspective, as well as in the approach of modelling the domain.