Providing Digital Library Users with Proper Search for Information Stored using Information Retrieval system

Thet Thet Aung, Khin Shin Thant, Myat Mon Khaing, April ThetSu and Hlaing Htake Khaung Tin
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Thet Thet Aung: Faculty of Information Science, University of Computer Studies, Hinthada, Myanmar
Khin Shin Thant: Faculty of Information Science, University of Computer Studies, Hinthada, Myanmar
Myat Mon Khaing: Faculty of Information Science, University of Computer Studies, Hinthada, Myanmar
April ThetSu: Faculty of Information Science, University of Computer Studies, Hinthada, Myanmar
Hlaing Htake Khaung Tin: Faculty of Information Science, University of Information Technology, Yangon, Myanmar

International Journal of Research and Innovation in Applied Science, 2022, vol. 7, issue 6, 01-07

Abstract: In the Digital Library fields, Ontology can be used to organize bibliographic descriptions, represent and expose the contents of the document, and share knowledge between users. In the proposed IR model, preprocessing, context matching, and calculating similarity values steps are included. The algorithm for the formatting of SPARQL query is developed in the context matching step of IR model. Ontology-based IR system for Digital Library is implemented in Service-Oriented Architecture (SOA) by using the XML Web Service technology and ASP.NET. The architecture of the proposed system consists of file storage for documents, one ontology dataset, and two programming components: Digital Library Web Service and Web Application. In this proposed system, Web Ontology Language (OWL) is used to design Ontology for Digital Library using Protégé v3.5 tool. Functions for publication and retrieving of documents are implemented as a web service by using the C# programming language. The user interface is designed and implemented as a web application in ASP.NET platform for consuming the functions of web service. The performance of this research paper, the precision, recall, and F-values are measured and compared. According to the comparison results, the Ontology-based IR system is more accurate in searching for ObjectProperty type. As a result, the proposed system serves user-friendly, high- performance and scalable semantic search for information from the digital library.

Date: 2022
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