01
ONTOLOGY / MACHINE LEARNING
Machine Learning Methods in Ontology Engineering: A Literature Review
Review of ML methods used in ontology engineering and their practical applications for organizing and understanding complex information.
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5 PAPERS
02
ONTOLOGY / AUTOMATION
Design of A Machine Learning Model for Automatic Generation of Domain Specific Ontologies
Research into automatically generating and continuously updating domain-specific ontologies using machine learning algorithms.
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03
DATA MINING / ML
A Detailed Study on Machine Learning Techniques for Data Mining
Study of classification, clustering, regression and knowledge-discovery processes for extracting useful patterns from large datasets.
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04
KNOWLEDGE / NLP
Development of a Machine Learning Model for Knowledge Acquisition, Relationship Extraction and Discovery in Domain Ontology Engineering
A model for automated ontology construction using NLP, data extraction, relationship extraction, indexing, mapping and knowledge discovery.
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05
SEMANTIC GRAPHS / ONTOLOGY
Automatic Relationship Construction in Domain Ontology Engineering
Research using semantic and thematic graph generation, data mining and convolutional neural networks to improve knowledge retrieval and ontology construction.
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