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ETD Abstract Container

Abstract Header

Automated Rendering of Schema Diagram for Ontologies

Karima, Nazifa
http://rave.ohiolink.edu/etdc/view?acc_num=wright1516022622755925

Abstract Details

2017, Master of Science (MS), Wright State University, Computer Science.
Semantic Web extends the current web, using ontologies, metadata and other technologies to establish links between terms and concepts. This enables machines to automatically integrate information across different platforms utilizing the standard definitions. Furthermore, reasoning agents can infer new knowledge by gathering existing information and these additional connections between them. As a result of being designed and maintained independently, data sources exhibit highly heterogeneous nature. This increases the complexity of data integration and hinders interoperability. However, if we can align the overlapping concepts among different domains of knowledge, the prospect of achieving interoperability and integration without having any intermediate reasoning agent, can be extremly valuable. But reusing ontologies is a practice that requires significant human effort by itself [72]. It takes crucial amount of endeavour on Ontology Engineers’ part to understand an existing ontology and figure out an appropriate domain for reuse. Being able to consult good documentations and clear schema diagrams, contributes largely in favor of this pursuit[41]. In this paper, we described the development of a light-weight tool that automatically produces a schema diagram from a given ontology. We have evaluated our work comparing with the standard diagrams available in existing literature. Also, we matched our results with the visualization yielded by a widely used visualization tool VOWL. In the end, we presented a comparative discussion between the different approaches conceived by these two tools and compared their efficacy.
Pascal Hitzler, Ph.D. (Advisor)
Adila A. Krisnadhi, Ph.D. (Committee Member)
Tanvi Banerjee, Ph.D. (Committee Member)
136 p.
Computer Engineering; Computer Science; Information Science; Information Technology
computer engineering; computer science; information science; information technology

Recommended Citations

Citations

  • Karima, N. (2017). Automated Rendering of Schema Diagram for Ontologies [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1516022622755925

    APA Style (7th edition)

  • Karima, Nazifa. Automated Rendering of Schema Diagram for Ontologies. 2017. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1516022622755925.

    MLA Style (8th edition)

  • Karima, Nazifa. "Automated Rendering of Schema Diagram for Ontologies." Master's thesis, Wright State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1516022622755925

    Chicago Manual of Style (17th edition)

wright1516022622755925
653
© 2017, some rights reserved.Creative Commons License Automated Rendering of Schema Diagram for Ontologies by Nazifa Karima is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.