Framework for interrogative knowledge identification.
The difficulty of defining and capitalizing the knowledge in an organization from the business data captured in text files. These text files defined as unstructured document that is without a specific format example, plain text. Hence, this paper presents an Interrogative Knowledge Identification fr...
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| Format: | Article |
| Language: | English |
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2009
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| _version_ | 1796968721460232192 |
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| author | Sidi, Fatimah A. Jabar, Marzanah Selamat, Mohd Hasan Abd Ghani, Abdul Azim Sulaiman, Md. Nasir |
| author_facet | Sidi, Fatimah A. Jabar, Marzanah Selamat, Mohd Hasan Abd Ghani, Abdul Azim Sulaiman, Md. Nasir |
| author_sort | Sidi, Fatimah |
| collection | UPM |
| description | The difficulty of defining and capitalizing the knowledge in an organization from the business data captured in text files. These text files defined as unstructured document that is without a specific format example, plain text. Hence, this paper presents an Interrogative Knowledge Identification framework to identify unstructured documents that encompassed knowledge, information, and data. It tries to identify some high-level problems of the area from a higher perspective and then propose a possible solution thru the description of the framework. This research is an experimental approach using an appropriate test collection of unstructured documents. A system was developed based on the Interrogative Knowledge Identification framework. The results obtained are measured in terms of percentage of quantitative retrieval performance recall and precision metrics compared with an expert. This is to improve better understanding the process of making sense the information or knowledge residing in unstructured documents. |
| first_indexed | 2024-03-06T07:32:30Z |
| format | Article |
| id | upm.eprints-14817 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:32:30Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | upm.eprints-148172012-05-14T06:43:05Z http://psasir.upm.edu.my/id/eprint/14817/ Framework for interrogative knowledge identification. Sidi, Fatimah A. Jabar, Marzanah Selamat, Mohd Hasan Abd Ghani, Abdul Azim Sulaiman, Md. Nasir The difficulty of defining and capitalizing the knowledge in an organization from the business data captured in text files. These text files defined as unstructured document that is without a specific format example, plain text. Hence, this paper presents an Interrogative Knowledge Identification framework to identify unstructured documents that encompassed knowledge, information, and data. It tries to identify some high-level problems of the area from a higher perspective and then propose a possible solution thru the description of the framework. This research is an experimental approach using an appropriate test collection of unstructured documents. A system was developed based on the Interrogative Knowledge Identification framework. The results obtained are measured in terms of percentage of quantitative retrieval performance recall and precision metrics compared with an expert. This is to improve better understanding the process of making sense the information or knowledge residing in unstructured documents. 2009 Article PeerReviewed Sidi, Fatimah and A. Jabar, Marzanah and Selamat, Mohd Hasan and Abd Ghani, Abdul Azim and Sulaiman, Md. Nasir (2009) Framework for interrogative knowledge identification. Computer and Information Science, 2 (4). pp. 109-115. ISSN 1913-8989 Knowledge management. Information resources management. Information Retrieval. English |
| spellingShingle | Knowledge management. Information resources management. Information Retrieval. Sidi, Fatimah A. Jabar, Marzanah Selamat, Mohd Hasan Abd Ghani, Abdul Azim Sulaiman, Md. Nasir Framework for interrogative knowledge identification. |
| title | Framework for interrogative knowledge identification. |
| title_full | Framework for interrogative knowledge identification. |
| title_fullStr | Framework for interrogative knowledge identification. |
| title_full_unstemmed | Framework for interrogative knowledge identification. |
| title_short | Framework for interrogative knowledge identification. |
| title_sort | framework for interrogative knowledge identification |
| topic | Knowledge management. Information resources management. Information Retrieval. |
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