Semantic knowledge retrieval KMS components-validating the questionnaire items
Knowledge management system (KMS) provides access to stored knowledge through the utilization of information and/or knowledge retrieval technologies. This enables knowledge workers to have necessary information for performing their knowledge intensive tasks effectively. To model the requirements for...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Knowledge Research Society
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/63193/ http://psasir.upm.edu.my/id/eprint/63193/1/Semantic%20knowledge%20retrieval%20KMS%20components-validating%20the%20questionnaire%20items.pdf |
| _version_ | 1848854733626802176 |
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| author | Umar, Abdulmajid Babangida Jaafar, Azmi A. Jabar, Marzanah Azmi Murad, Masrah Azrifah |
| author_facet | Umar, Abdulmajid Babangida Jaafar, Azmi A. Jabar, Marzanah Azmi Murad, Masrah Azrifah |
| author_sort | Umar, Abdulmajid Babangida |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Knowledge management system (KMS) provides access to stored knowledge through the utilization of information and/or knowledge retrieval technologies. This enables knowledge workers to have necessary information for performing their knowledge intensive tasks effectively. To model the requirements for a semantic-based knowledge retrieval (KR) of such systems, a literature review of KMS (including the ontology-based) and semantic knowledge retrieval frameworks is conducted. By so doing, tools, technologies, and knowledge components necessary for a semantic knowledge retrieval KMS are identified and modeled as proposed. Questionnaire survey is used to verify the model components. Pilot survey is initially administered to validate the questionnaire items and to ensure that the item constructs are acceptable for determining the important components of the model. Rasch measurement is used for analysis due to the ordinal nature and collected small sample of the Likert-scale data. Questions perceived to be misguiding are revised and some confusing or rather controversial questions are excluded from the questionnaire. |
| first_indexed | 2025-11-15T11:14:34Z |
| format | Article |
| id | upm-63193 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:14:34Z |
| publishDate | 2017 |
| publisher | Science and Knowledge Research Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-631932019-02-26T01:17:48Z http://psasir.upm.edu.my/id/eprint/63193/ Semantic knowledge retrieval KMS components-validating the questionnaire items Umar, Abdulmajid Babangida Jaafar, Azmi A. Jabar, Marzanah Azmi Murad, Masrah Azrifah Knowledge management system (KMS) provides access to stored knowledge through the utilization of information and/or knowledge retrieval technologies. This enables knowledge workers to have necessary information for performing their knowledge intensive tasks effectively. To model the requirements for a semantic-based knowledge retrieval (KR) of such systems, a literature review of KMS (including the ontology-based) and semantic knowledge retrieval frameworks is conducted. By so doing, tools, technologies, and knowledge components necessary for a semantic knowledge retrieval KMS are identified and modeled as proposed. Questionnaire survey is used to verify the model components. Pilot survey is initially administered to validate the questionnaire items and to ensure that the item constructs are acceptable for determining the important components of the model. Rasch measurement is used for analysis due to the ordinal nature and collected small sample of the Likert-scale data. Questions perceived to be misguiding are revised and some confusing or rather controversial questions are excluded from the questionnaire. Science and Knowledge Research Society 2017-09 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63193/1/Semantic%20knowledge%20retrieval%20KMS%20components-validating%20the%20questionnaire%20items.pdf Umar, Abdulmajid Babangida and Jaafar, Azmi and A. Jabar, Marzanah and Azmi Murad, Masrah Azrifah (2017) Semantic knowledge retrieval KMS components-validating the questionnaire items. Journal of Computer Science & Computational Mathematics, 7 (3). pp. 85-89. ISSN 2231-8879 https://www.jcscm.net/fp/113.pdf 10.20967/jcscm.2017.03.005 |
| spellingShingle | Umar, Abdulmajid Babangida Jaafar, Azmi A. Jabar, Marzanah Azmi Murad, Masrah Azrifah Semantic knowledge retrieval KMS components-validating the questionnaire items |
| title | Semantic knowledge retrieval KMS components-validating the questionnaire items |
| title_full | Semantic knowledge retrieval KMS components-validating the questionnaire items |
| title_fullStr | Semantic knowledge retrieval KMS components-validating the questionnaire items |
| title_full_unstemmed | Semantic knowledge retrieval KMS components-validating the questionnaire items |
| title_short | Semantic knowledge retrieval KMS components-validating the questionnaire items |
| title_sort | semantic knowledge retrieval kms components-validating the questionnaire items |
| url | http://psasir.upm.edu.my/id/eprint/63193/ http://psasir.upm.edu.my/id/eprint/63193/ http://psasir.upm.edu.my/id/eprint/63193/ http://psasir.upm.edu.my/id/eprint/63193/1/Semantic%20knowledge%20retrieval%20KMS%20components-validating%20the%20questionnaire%20items.pdf |