7th International Conference on Machine Learning & Trends (MLT 2026)

 

#machinelearning #bayesian #computervision #datamining #deeplearning #neuralnetworks #ReinforcementLearning #multimodal #EdgeComputing #internetofthings #artificialintelligence #engineering #computerscience #naturallanguageprocessing #BigData #informationretrieval #datascience #technology #programming #software

 

Submit Your Research Articles...!!!

 

Welcome To MLT 2026

 

7th International Conference on Machine Learning & Trends (MLT 2026)
June 20 ~ 21, 2026, Sydney, Australia

 

Webpage URL: https://sai2026.org/mlt/index

 

Contact us:
Here's where you can reach us: mlt@sai2026.org (or) mltconfere@yahoo.com

 

Submission URL: https://icaita2026.org/submission/index.php

International Journal of Advanced Information Technology (IJAIT)

 Call For Papers......!!
#advancesinAI #softcomputing #bigdata #blockchain #communications #database #digitalfabrication #machinelearning #internetofthings #information #cloudcomputing #innovation #cybersecurity #coder #coding #linux #networking #it #itservices #informationsecurity #java #computerscience #technologyrocks #security #newtechnology #software

International Journal of Advanced Information Technology (IJAIT) 
ISSN: 2231 - 1548 [Online]; 2231 - 1920 [Print]
Submission Deadline : April 04, 2026
Web page URL: http://airccse.org/journal/IJAIT/ijait.html
https://airccse.org/journal/IJAIT/indexing.html
Submission URL : https://airccse.com/submissioncs/home.html
Contact Us : ijaitjournal@airccse.org or ijait@aircconline.com or ijaitjournal@yahoo.com

ONTOLOGY VISUALIZATION PROTÉGÉ TOOLS – A REVIEW

 

ONTOLOGY VISUALIZATION PROTÉGÉ TOOLS – A REVIEW

R. Sivakumar1 and P.V. Arivoli2

1 Associate Professor, Department of Computer Science,

A.V.V.M. Sri Pushpam College, Bharathidasan University, Trichirappalli, India rskumar.avvmspc@gmail.com

2 Project Fellow, Department of Computer Science,

A.V.V.M. Sri Pushpam College, Bharathidasan University, Trichirappalli, India pva.tvr@gmail.com

ABSTRACT

 Protégé is one of the most popular tools of the ontology visualization. The “Protégé” tools are being applied for further development in various disciplines for better understanding of knowledge. These tools commonly use four methods of ontology visualization, namely, indented list, node-link and tree, zoomable, and focus+context. The purpose of this work is to present a study on application of these four methods in the development of different kinds of protégé visualization tools and categorize their characteristics and features so that it assists in method selection and promotes further future research in the area of ontology visualization.

KEYWORDS

Ontology visualization techniques, Protégé tools, Knowledge bases, Knowledge models.

 

https://airccse.org/journal/IJAIT/papers/0811ijait01.pdf