Abstract

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.

Authors

Dharmeshkumar Shah¹, Harshal Arolkar², Devika P Madalli³
Information and Library Network (INFLIBNET) Centre, India^1,3, GLS University, India²

Keywords

RDF, MARC 21, GujCat, GCXLOnto, GCOnto