Citation
Ishak, Iskandar and Sidi, Fatimah and A. Jabar, Marzanah
(2016)
Object recognizer for organizing and structuring unstructured documents using Interrogative Knowledge.
Journal of Theoretical and Applied Information Technology, 87 (3).
pp. 442-450.
ISSN 1992-8645; ESSN: 1817-3195
Abstract
Knowledge in unstructured documents is lacking the structured characteristics; therefore raising the problem of extracting answers when queried by simple queries. This paper proposes the Interrogative Knowledge Object- (IKO-) Recognizer that is able to model the extracted interrogative lexical constructs from unstructured documents into ontological constructs. An experiment is carried out to test performance of the IKO-Recognizer using quantitative retrieval performance metrics of recall and precision. The result shows that the extracted interrogative constructs is able to increase human understanding on knowledge available in unstructured document.
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Official URL or Download Paper: http://www.jatit.org/volumes/eightyseven3.php
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| Publisher: | Asian Research Publication Network |
| Keywords: | Interrogative knowledge; Unstructured documents; Object recognizer; Information retrieval |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 27 Oct 2017 09:18 |
| Last Modified: | 27 Oct 2017 09:18 |
| URI: | http://psasir.upm.edu.my/id/eprint/53410 |
| Statistic Details: | View Download Statistic |
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