The proliferation of bibliographic metadata has led to an overwhelming
voluminous data, necessitating advanced methodologies for effective
organisation and retrieval of data. The vast amount of bibliographic
metadata available in the Union Catalogue of Gujarat Colleges
(GujCat) poses significant challenges in terms of efficient data
organisation, search, and retrieval. Traditional methods of cataloguing
and indexing often fall short of capturing the complex relationships
and nuances within scholarly works. The study explores and created
tool named GCXLOnto with the integration of panda library of python
to transform MAchine-Readable Cataloging (MARC 21) bibliographic
metadata into and excel data and then structured transformation from
excel data to Web Ontology Language (OWL) for information retrieval,
aiming to enhance the efficiency of search and retrieval processes. In
practice, two strategies are used to create and import the data into
ontology. One involves manual creation which needs expertise from
ontology developers and the second strategy entails converting the
available structured data into ontology. The study suggests a way to
turn MARC 21 bibliographic data into semantically rich OWL
ontology. The evaluation of the framework will be done on a sample
dataset of bibliographic metadata available in GujCat. Findings of the
study contribute towards the development of advanced systems for
managing and accessing bibliographic metadata available to the
GujCat.
Dharmeshkumar Shah1, Harshal Arolkar2, Devika P Madalli3
Information and Library Network (INFLIBNET) Centre, India1,3, GLS University, India2
RDF, MARC 21, GujCat, GCXLOnto, GCOnto
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 15 , Issue: 1 , Pages: 3373 - 3378 )
Date of Publication :
July 2024
Page Views :
218
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44
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