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Alamri_Salah_Dissertation.pdf (7.42 MB)

ETD Abstract Container

Abstract Header

Ontology Extraction from an Arabic Book

Alamri, Salah
http://rave.ohiolink.edu/etdc/view?acc_num=kent1594926130389562

Abstract Details

2020, PHD, Kent State University, College of Arts and Sciences / Department of Computer Science.
The modern technological era has brought about the Semantic Web, a developing and effective way to sort through and organize large amounts of information. Ontologies are the backbone of the Semantic Web, and essential in achieving the vision of the Semantic Web. Ontologies work on clarifying the data in a way that enables machines to understand their meaning. The Arabic Language currently does not have a significant presence on the Web, in part because of its complexity. It is highly inflectional, and support for this language is very limited from governments, scientific groups, and businesses. There is a growing need to increase Arabic content on the web and to increase the number and quality of tools to support an Arabic Semantic Web. To maintain and achieve the same level of Arabic access as other languages, further work in building Arabic ontologies to achieve the Semantic Web vision is required. One such goal is to design and create a robust Arabic ontology that represents the concepts from a large and significant subset of Arabic. For each root in the Arabic Language, there is a set of meanings that form related concepts. This ontology is organized to respect these related concepts. The relationships in the ontology are based on a well-known traditional text. Preliminary results are very promising.
Austin Melton (Committee Co-Chair)
Angela Guercio (Committee Co-Chair)
Jong-Hoon Kim (Committee Member)
Alan Brandyberry (Committee Member)
Mark Lewis (Committee Member)
193 p.
Computer Science

Recommended Citations

Citations

  • Alamri, S. (2020). Ontology Extraction from an Arabic Book [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1594926130389562

    APA Style (7th edition)

  • Alamri, Salah. Ontology Extraction from an Arabic Book. 2020. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1594926130389562.

    MLA Style (8th edition)

  • Alamri, Salah. "Ontology Extraction from an Arabic Book." Doctoral dissertation, Kent State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1594926130389562

    Chicago Manual of Style (17th edition)

kent1594926130389562
121
© 2020, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.