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Improving Knowledge Graph Understanding with Contextual Views

Abstract Details

2024, Master of Science (MS), Wright State University, Computer Science.
Knowledge Graphs (KGs) leverage structured data (entities and their relationships) to create a richly interconnected world. However, to fully explore these intricate connections, sophisticated exploration tools are essential as manual exploration can become overwhelming. Applications for KG exploration span many use-cases: social network analysis, corporate intelligence, and medical research. This research improves the InK Browser (Interactive Knowledge Browser), a modular, web-based tool for KG exploration, facilitated by flexible views. The goal is to enhance user understanding and this is tested through a user study. Flexible views are made possible by applying complex constraint definitions against data instances. When data points (and their relations) match a data shape, the flexible view provides an adaptive perspective of that data. The InK Browser already provides a flexible view for geospatial data (a map) and metadata (semantic and type information), as well as search functionality. This research has added a new functionality in Flexible Views, a KG summarization that is utilized within the InK Browser by the dynamic creation of SPARQL queries made from shortcuts of the used schema. This functionality aids the challenge of navigation and comprehension of KGs.
Cogan Shimizu, Ph.D. (Advisor)
Hugh P. Salehi, Ph.D. (Committee Member)
Krishnaprasad Thirunarayan, Ph.D. (Committee Member)
58 p.

Recommended Citations

Citations

  • Christou, A. (2024). Improving Knowledge Graph Understanding with Contextual Views [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1715878159408301

    APA Style (7th edition)

  • Christou, Antrea. Improving Knowledge Graph Understanding with Contextual Views. 2024. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1715878159408301.

    MLA Style (8th edition)

  • Christou, Antrea. "Improving Knowledge Graph Understanding with Contextual Views." Master's thesis, Wright State University, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=wright1715878159408301

    Chicago Manual of Style (17th edition)