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Knowledge Based Topology Discovery and Geo-localization

Shelke, Yuri Rajendra

Abstract Details

2010, Master of Science, Ohio State University, Computer Science and Engineering.
Cable networks demand a high level of reliability as critical services are carried over them. Maintenance operations will be greatly facilitated if faults can be geographically located on the network topology. We demonstrate the application of knowledge-based techniques and a novel ontology based software framework for topology discovery and geo-localization by integrating topology data with data from GIS based systems, where these databases have incomplete, obsolete or inaccurate information. In addition to addressing this specific problem this framework may be generalized for integration of data from multiple sources with syntactic heterogeneity.
Dr. Rajiv Ramnath (Advisor)
Dr. Ola Ahlqvist (Committee Member)
Dr. Jay Ramanathan (Committee Member)
173 p.

Recommended Citations

Citations

  • Shelke, Y. R. (2010). Knowledge Based Topology Discovery and Geo-localization [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276877783

    APA Style (7th edition)

  • Shelke, Yuri. Knowledge Based Topology Discovery and Geo-localization. 2010. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1276877783.

    MLA Style (8th edition)

  • Shelke, Yuri. "Knowledge Based Topology Discovery and Geo-localization." Master's thesis, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276877783

    Chicago Manual of Style (17th edition)