Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form

The availability of knowledge discovery operation helps to extract valuable information and knowledge in large volumes of data in structured databases. However, a large portion of the available information is not in structured form but rather collections of text documents in unstructured format,...

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Main Author:	Sidi, Fatimah
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Knowledge acquisition (Expert systems) Databases
Online Access:	http://psasir.upm.edu.my/id/eprint/5887/1/FSKTM_2007_10%20IR.pdf
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id	my-upm-ir.5887
record_format	uketd_dc
spelling	my-upm-ir.58872022-01-20T07:29:51Z Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form 2007-09 Sidi, Fatimah The availability of knowledge discovery operation helps to extract valuable information and knowledge in large volumes of data in structured databases. However, a large portion of the available information is not in structured form but rather collections of text documents in unstructured format, which also implies to Malay unstructured documents. Therefore, structuring characteristics must be imposed to unstructured documents in order to transform information available in unstructured documents into knowledge. A new approach has been established to transform extracted knowledge in Malay unstructured document by identifying, organizing, and structuring them into interrogative structured form. Its architecture is developed based on the implementation of (i) interrogative knowledge identification; (ii) interrogative contextual information; and (iii) interrogative knowledge organization and structuring with Malay knowledge representation by concepts. It utilizes the Malay language corpus; interrogative theory; as well as object-oriented, ontology, and database model. The research involves system development based on architecture of the MalaylK-Ontology, which is being measured by quantitative retrieval performance using the recall and precision metrics. The development of the Retrieval lnterrogative Ontology Analysis Application is used to verify fitness of task for the functionalities and usefulness on the utilization of interrogative contextual information with color coding supplement, additional information annotation, and Malay knowledge representation by concepts. A number of experiments are carried out to quantify the accuracy of knowledge extracted. The MalaylK-Ontology is tested by using stratified random sampling drawn from various sources of Malay unstructured documents such as news, e-mails, articles, magazines, and texts from children story books. The results of the experiments have proved that the approach of MalaylK-Ontology performed well as compared to knowledge extracted manually done by an expert. The results of questionnaires evaluation on the Retrieval lnterrogative Ontology Analysis Application have shown good achievement in understanding the main point of the unstructured document easily and clearly. This is to improve better understanding the process of making sense of information into knowledge, maintaining the meaning of the information and gaining the interpretation of the identical knowledge in unstructured document which facilitate identical knowledge perceived by different people. Knowledge acquisition (Expert systems) Databases 2007-09 Thesis http://psasir.upm.edu.my/id/eprint/5887/ http://psasir.upm.edu.my/id/eprint/5887/1/FSKTM_2007_10%20IR.pdf text en public doctoral Universiti Putra Malaysia Knowledge acquisition (Expert systems) Databases Computer Science and Information Technology Selamat, Mohd Hasan
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Selamat, Mohd Hasan
topic	Knowledge acquisition (Expert systems) Databases
spellingShingle	Knowledge acquisition (Expert systems) Databases Sidi, Fatimah Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form
description	The availability of knowledge discovery operation helps to extract valuable information and knowledge in large volumes of data in structured databases. However, a large portion of the available information is not in structured form but rather collections of text documents in unstructured format, which also implies to Malay unstructured documents. Therefore, structuring characteristics must be imposed to unstructured documents in order to transform information available in unstructured documents into knowledge. A new approach has been established to transform extracted knowledge in Malay unstructured document by identifying, organizing, and structuring them into interrogative structured form. Its architecture is developed based on the implementation of (i) interrogative knowledge identification; (ii) interrogative contextual information; and (iii) interrogative knowledge organization and structuring with Malay knowledge representation by concepts. It utilizes the Malay language corpus; interrogative theory; as well as object-oriented, ontology, and database model. The research involves system development based on architecture of the MalaylK-Ontology, which is being measured by quantitative retrieval performance using the recall and precision metrics. The development of the Retrieval lnterrogative Ontology Analysis Application is used to verify fitness of task for the functionalities and usefulness on the utilization of interrogative contextual information with color coding supplement, additional information annotation, and Malay knowledge representation by concepts. A number of experiments are carried out to quantify the accuracy of knowledge extracted. The MalaylK-Ontology is tested by using stratified random sampling drawn from various sources of Malay unstructured documents such as news, e-mails, articles, magazines, and texts from children story books. The results of the experiments have proved that the approach of MalaylK-Ontology performed well as compared to knowledge extracted manually done by an expert. The results of questionnaires evaluation on the Retrieval lnterrogative Ontology Analysis Application have shown good achievement in understanding the main point of the unstructured document easily and clearly. This is to improve better understanding the process of making sense of information into knowledge, maintaining the meaning of the information and gaining the interpretation of the identical knowledge in unstructured document which facilitate identical knowledge perceived by different people.
format	Thesis
qualification_level	Doctorate
author	Sidi, Fatimah
author_facet	Sidi, Fatimah
author_sort	Sidi, Fatimah
title	Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form
title_short	Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form
title_full	Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form
title_fullStr	Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form
title_full_unstemmed	Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form
title_sort	transformation of extracted knowledge in malay unstructured documents into an interrogative structured form
granting_institution	Universiti Putra Malaysia
granting_department	Computer Science and Information Technology
publishDate	2007
url	http://psasir.upm.edu.my/id/eprint/5887/1/FSKTM_2007_10%20IR.pdf
_version_	1747810502554157056

Transformation of Extracted Knowledge in Malay Unstructured Documents Into an Interrogative Structured Form

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