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  • 标题:MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents
  • 其他标题:MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents
  • 本地全文:下载
  • 作者:Fatimah Sidi ; Iskandar Ishak ; Marzanah Abdul Jabar
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:1-10
  • DOI:10.11591/ijece.v8i1.pp1-10
  • 语种:English
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要: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 MalayIK-Ontology 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.
  • 其他摘要: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 Malay IK corpus is developed and used to test the Malay IK -Ontology against Ontos, an existing data extraction engine. The experimental results from MalayIK-Ontology 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.
  • 关键词:Computer and Informatics;Ontology; Interrogative Knowledge; Knowledge Transformation; Unstructured documents
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