Knowledge Discovery from the Digital Library’s Contents: Bangladesh Perspective

• Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Main Author: Rahman M.H.; Zakaria S.; Ahmad A.
• Format: Conference paper
• Language: English
• Published: Springer Science and Business Media Deutschland GmbH 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121933752&doi=10.1007%2f978-3-030-91669-5_3&partnerID=40&md5=d21d943efcd2df054a2c0752b54a9900

The purpose of this study is to explore the present trends of knowledge discovery (KD) from digital library (DL) systems in Bangladesh. The main obstacles of KD from the contents of DL and ways to overcome the barriers are also described. This study uses both qualitative and quantitative approaches along with the review of related literature. The present scenario of the KD from the contents of DL in Bangladesh is presented by a survey with a structured questionnaire and reviewing related literature. This study identifies the challenges of KD from the contents of DL in Bangladesh, which are inaccurate bibliographic metadata, a lack of accurate holdings data, a lack of synchronized bibliographic metadata, etc. This study also suggests some suitable ways to overcome the existing challenges of KD from DL contents, such as providing high-quality data, preserving complete bibliographic metadata, preserving accurate holdings data, synchronizing bibliographic metadata and holdings data, and using consistent data formats. © 2021, Springer Nature Switzerland AG.