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Developing a Linked Open Data Platform for Folktales in the Greater Mekong Subregion
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Document Title
Developing a Linked Open Data Platform for Folktales in the Greater Mekong Subregion
Author
Ngootip T. Manorom P. Chansanam W. Buranarach M.
Affiliations
Department of Information Science Faculty of Humanities and Social Sciences Khon Kaen University Khon Kaen 40002 Thailand; Thailand National Electronics and Computer Technology Center Pathum Thani 12120 Thailand
Type
Article
Source Title
Emerging Science Journal
ISSN
26109182
Year
2023
Volume
7
Issue
6
Page
1937-1953
Open Access
All Open Access Gold
Publisher
Ital Publication
DOI
10.28991/ESJ-2023-07-06-06
Abstract
This research paper presents the development of a linked open data (LOD) platform that aims to organize and facilitate access to valuable knowledge about folktales and ethnic groups in the Greater Mekong Subregion countries. The study抯 methodology involved the creation of a linked open data platform structuring folktales� knowledge and evaluating its performance through expert assessment. The LOD platform was constructed through Google OpenRefine to establish connections with external data sources and the RDF files (N-Triples) were deployed on Fuseki Server (Apache Jena) to serve as the SPARQL endpoint for querying the linked open data. The Pubby web app was chosen for further development to provide a user-friendly interface which customized with the Bootstrap framework featuring an intuitive homepage and a search box function for simplified data retrieval. For the expert evaluation the study confirmed that the platform performs a high suitability in terms of congruence reliability integrity understandability collaboration accessibility and connectedness. The developed LOD platform exhibits significant potential for expanding its application to various content domains offering a valuable resource for accessing and exploring the rich cultural heritage of folktales in the Greater Mekong Subregion countries. ? 2023 by the authors. Licensee ESJ Italy.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
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Copyright
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Authors
Publication Source
Scopus