An enhanced model for digital reference services
Digital Reference Service (DRS) play a vital role in the Digital Library (DL) research. DRS is a very valuable service provided by DL. Unfortunately, the reference service movement towards digital environment begins late, and this shift was not model based. So, a journey towards a digital environ...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4662/ http://eprints.uthm.edu.my/4662/1/KP%202020%20%2893%29.pdf |
| _version_ | 1848888346932150272 |
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| author | Shahzad, Asim Mohd Nawi, Nazri Mahdin, Hairulnizam Naqeeb Khan, Sundas Abdul Hamid, Norhamreeza |
| author_facet | Shahzad, Asim Mohd Nawi, Nazri Mahdin, Hairulnizam Naqeeb Khan, Sundas Abdul Hamid, Norhamreeza |
| author_sort | Shahzad, Asim |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Digital Reference Service (DRS) play a vital role in the Digital Library (DL) research.
DRS is a very valuable service provided by DL. Unfortunately, the reference service
movement towards digital environment begins late, and this shift was not model
based. So, a journey towards a digital environment without following a proper model
raises some issues. A few researchers presented a general process model (GPM) in
the late 1990s, but this process model could not overcome the problems of DRS. This
paper proposes an enhanced model for DRS that use the storage and re-use
mechanism with other vital components like DRS search engine and ready reference
for solving the issues in DRS. Initially, storage and re-use mechanism are designed
and finally, DRS search engine is designed to search appropriate answers in the
knowledge base. We improved the GPM by incorporating the new components. The
simulation results clearly states that the proposed model increased the service
efficiency by reducing the response time from days to seconds for repeated questions
and decreased the workload of librarians |
| first_indexed | 2025-11-15T20:08:50Z |
| format | Conference or Workshop Item |
| id | uthm-4662 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:08:50Z |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-46622022-01-23T08:29:50Z http://eprints.uthm.edu.my/4662/ An enhanced model for digital reference services Shahzad, Asim Mohd Nawi, Nazri Mahdin, Hairulnizam Naqeeb Khan, Sundas Abdul Hamid, Norhamreeza Z665 Library Science. Information Science Digital Reference Service (DRS) play a vital role in the Digital Library (DL) research. DRS is a very valuable service provided by DL. Unfortunately, the reference service movement towards digital environment begins late, and this shift was not model based. So, a journey towards a digital environment without following a proper model raises some issues. A few researchers presented a general process model (GPM) in the late 1990s, but this process model could not overcome the problems of DRS. This paper proposes an enhanced model for DRS that use the storage and re-use mechanism with other vital components like DRS search engine and ready reference for solving the issues in DRS. Initially, storage and re-use mechanism are designed and finally, DRS search engine is designed to search appropriate answers in the knowledge base. We improved the GPM by incorporating the new components. The simulation results clearly states that the proposed model increased the service efficiency by reducing the response time from days to seconds for repeated questions and decreased the workload of librarians Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/4662/1/KP%202020%20%2893%29.pdf Shahzad, Asim and Mohd Nawi, Nazri and Mahdin, Hairulnizam and Naqeeb Khan, Sundas and Abdul Hamid, Norhamreeza An enhanced model for digital reference services. In: Proceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), 22-23 January 2020, Melaka, Malaysia. https://link.springer.com/chapter/10.1007/978-3-030-36056-6_1 |
| spellingShingle | Z665 Library Science. Information Science Shahzad, Asim Mohd Nawi, Nazri Mahdin, Hairulnizam Naqeeb Khan, Sundas Abdul Hamid, Norhamreeza An enhanced model for digital reference services |
| title | An enhanced model for digital reference services |
| title_full | An enhanced model for digital reference services |
| title_fullStr | An enhanced model for digital reference services |
| title_full_unstemmed | An enhanced model for digital reference services |
| title_short | An enhanced model for digital reference services |
| title_sort | enhanced model for digital reference services |
| topic | Z665 Library Science. Information Science |
| url | http://eprints.uthm.edu.my/4662/ http://eprints.uthm.edu.my/4662/ http://eprints.uthm.edu.my/4662/1/KP%202020%20%2893%29.pdf |