MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents.

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Title: MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents.
Authors: Sidi, Fatimah1 fatimah@upm.edu.my, Ishak, Iskandar1, Jabar, Marzanah A.2
Source: International Journal of Electrical & Computer Engineering (2088-8708). Feb2018, Vol. 8 Issue 1, p1-10. 10p.
Subjects: Intranets (Computer networks), Malay language, Data extraction, Ontologies (Information retrieval), Knowledge transfer
Abstract: The number of unstructured documents written in Malay language is enormously available on the web and intranets. However, unstructured documents cannot be queried in simple ways, hence the knowledge contained in such documents can neither be used by automatic systems nor could be understood easily and clearly by humans. This paper proposes a new approach to transform extracted knowledge in Malay unstructured document using ontology by identifying, organizing, and structuring the documents into an interrogative structured form. A Malay knowledge base, the MalayIK corpus is developed and used to test the MalayIK-Ontology against Ontos, an existing data extraction engine. The experimental results from MalayIKOntology have shown a significant improvement of knowledge extraction over Ontos implementation. This shows that clear knowledge organization and structuring concept is able to increase understanding, which leads to potential increase in sharable and reusable of concepts among the community. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents.
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  Data: <searchLink fieldCode="AR" term="%22Sidi%2C+Fatimah%22">Sidi, Fatimah</searchLink><relatesTo>1</relatesTo><i> fatimah@upm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Ishak%2C+Iskandar%22">Ishak, Iskandar</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jabar%2C+Marzanah+A%2E%22">Jabar, Marzanah A.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Feb2018, Vol. 8 Issue 1, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Intranets+%28Computer+networks%29%22">Intranets (Computer networks)</searchLink><br /><searchLink fieldCode="DE" term="%22Malay+language%22">Malay language</searchLink><br /><searchLink fieldCode="DE" term="%22Data+extraction%22">Data extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Ontologies+%28Information+retrieval%29%22">Ontologies (Information retrieval)</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+transfer%22">Knowledge transfer</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The number of unstructured documents written in Malay language is enormously available on the web and intranets. However, unstructured documents cannot be queried in simple ways, hence the knowledge contained in such documents can neither be used by automatic systems nor could be understood easily and clearly by humans. This paper proposes a new approach to transform extracted knowledge in Malay unstructured document using ontology by identifying, organizing, and structuring the documents into an interrogative structured form. A Malay knowledge base, the MalayIK corpus is developed and used to test the MalayIK-Ontology against Ontos, an existing data extraction engine. The experimental results from MalayIKOntology have shown a significant improvement of knowledge extraction over Ontos implementation. This shows that clear knowledge organization and structuring concept is able to increase understanding, which leads to potential increase in sharable and reusable of concepts among the community. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.11591/ijece.v8i1.pp1-10
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        Text: English
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        PageCount: 10
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      – SubjectFull: Intranets (Computer networks)
        Type: general
      – SubjectFull: Malay language
        Type: general
      – SubjectFull: Data extraction
        Type: general
      – SubjectFull: Ontologies (Information retrieval)
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      – SubjectFull: Knowledge transfer
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      – TitleFull: MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents.
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            NameFull: Jabar, Marzanah A.
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              Text: Feb2018
              Type: published
              Y: 2018
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