Paper Title :Course Syllabus Comparison using Ontology Design and NLP
Author :Masoom Raza, Rashmi Phalnikar
Article Citation :Masoom Raza ,Rashmi Phalnikar ,
(2023 ) " Course Syllabus Comparison using Ontology Design and NLP " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 22-29,
Volume-11,Issue-2
Abstract : Designing an ontology can be viewed as a knowledge management model in which data and information
collected from various sources are transformed into knowledge for improvised reuse. Classes or concepts (entities) are
grouped together systematically to create a taxonomic structure that forms the backbone of an ontology. This study aims to
demonstrate the step-by-step development of a method to match and compare two or more ontologies of similar domains
using NLP. The domain here focuses on subjects in the curriculum structure offered by various universities. This paper
shows the automatic ontology matching and comparison process and gives a systematic evaluation of the relationships
between features of matching ontologies. The subject chosen in this instance is software engineering and the ontology is
designed according to the information provided by the particular university in its curriculum. Further, The paper discusses
the use of python libraries like RDFLib, spaCy, NLTK and Count Vectorizer which plays an important role in parsing,
processing, matching and comparison of ontologies. The automatic matching and comparison is made on the basis of lexical,
structural and semantic similarity measures.
Keywords - Knowledge Management, Ontology, Ontology Matching, Ontology Comparison, OWL, RDF, NLP, Feature
Extraction.
Type : Research paper
Published : Volume-11,Issue-2
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-19710
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Copyright: © Institute of Research and Journals
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Published on 2023-07-20 |
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